A Comparison Of Monty Python And The Holy Grail - 715 Words

Medieval times were times of religious focus, Courtly love, the roles of women, the battle of good and evil, â€Å"heroic† quests, and chivalry, lots and lots of chivalry. To remember key points of history, they were written in the form of exaggerated stories. For example the story of Sir Gawain and the green knight has undertones of a true story with meaning but, the parts about immortal green knights are a bit outlandish. Other portrayals of this time period include Monty Python and the Quest for the Holy Grail, which deliver a unique spin on a classic story in the form of satirical humor and parody. While the presentation of the two stories differs drastically the underlying themes of Chivalry, Religion, Nobility/Heroism, love, and Good vs.†¦show more content†¦When the Black Knight is attacked by King Arthur he has his arm severed from his body. The Black knight continues his fight unfazed by his wound proclaiming â€Å"it was just a flesh wound†. In Sir Ga wain and the Green Knight he has his head cut off and picks it up and begins issuing his challenge to Sir Gawain, the one who severed his head. England in the Medieval times was a monarchy, meaning theres a king whos in power and he was sworn in through family or through war. There is a scene where King Arthur talks to the â€Å"Political Peasants† about how they vote and such in a monarchy, while little do they know it doesnt matter. The satire used in Monty Python and The Holy Grail is cleverly used and hidden in humor that everyone can understand. To call back to the Black Knight anyone can laugh at an immortal knight who gets cut up and made fun of but, the common viewer watching for entertainment would not know he is a reference to not only the green knight but, the black plague. The entire theme of chastity is parodied in the castle of anthrax in which sir galahad the chaste is tempted by an entire castle of women to â€Å"spank† them. Monty Python and the Quest for the Holy Grail takes topics from Medieval times and puts a satirical spin on it. Chivalry, heroic quests, good and evil, and religious focus are the main focused themes that are mocked. Other works of literature in the medieval genre are referenced in Monty Python and the Holy Grail. TheShow MoreRelatedMonty Python And The Holy Grail Analysis724 Words   |  3 PagesWitch Hunts and Coconuts Monty Python and the Holy Grail portrays satire in the storyline following King Arthur and his knights of the round tables expedition for the Holy Grail throughout England during the Middle Ages. Monty Python is a satirical movie meaning it’s purpose is to make individuals in society laugh and then think. Satire seeks to influence our opinions and world.The film Monty Python and the Holy Grail uses unexpected logic as well as unexpected events to expose ignorance within mankindRead More Arthurian Legend Essay1498 Words   |  6 Pagesimitate courtly love. Any movie with a love triangle could be game. However, the key element of courtly love is that there must be a third party. If the love is not forbidden it just is not worth the trouble. The first movie examined for the comparison was Disney’s The Sword in the Stone. Without even watching it, one knows there are striking differences. One main reason for several differences if that the movie is a cartoon and is geared towards children. A children’s movie is not going to try

Biotechnology Opportunities In Canada Environmental Sciences Essay Free Essays

The Canada has witnessed extraordinary progresss in scientific discipline over the last few decennaries. Biotechnology – one such country of growing – is a term covering a wide scope of scientific activities used in many sectors, such as nutrient, wellness and agribusiness. It involves the usage of life beings or parts of life beings to supply new methods of production and the devising of new merchandise, because Canada is an industrial state with a extremely developed scientific discipline and engineering sector. We will write a custom essay sample on Biotechnology Opportunities In Canada Environmental Sciences Essay or any similar topic only for you Order Now Almost 1.88 % of Canada ‘s GDP is allocated to research A ; development ( R A ; D ) . The state has 18 Nobel laureates in natural philosophies, chemical science and medical specialty. Canada has a wealth of natural resources, which can be subjugated by biotechnology. These resources range from the Northern Canada to immense measures of cultivable land. Opportunities exist for biotechnology to use these resources in countries such as health care, agribusiness and biofuels. The use of biotechnology in this manner has vast socio-economic benefits for the state and may restrain its growing for several old ages to come. The expansive sum of the annual optimistic economic influence of renewable fuels is $ 2.013 billion. In Canada that there was chief net income from renewable fuels in â€Å" rural revival, improved oil exports from western Canada, industrial growing, and cherished option for re-balancing fuel ‘mix ‘ . Canada is a state rich in natural resources of several different signifiers, assortments from the northern Canada to its immense country of arable land with significant mineral resources. There are assorted chances for the use of biotechnology to utilize these resources on together big with little graduated tables. The usage of GM harvests may be used in the bally agribusiness industry to better output with lessening the require for weedkillers, even as on the minor graduated table, canola oil is a promising resource for developing biodiesel, a renewable replacement to fossil fuels in Canada. Canada is one of the some developed states that are exporters of energy. Atlantic Canada has immense offshore sedimentations of natural gas, with Alberta has large oil and gas resources. The tremendous Athabasca Oil Sands provide Canada the universe ‘s 2nd largest oil militias, after Saudi Arabia. The Canadian economic system is conquered by the industries, which employ about 3 quarters of Canadians. Canada is uneven between developed states in the significance of its primary sector, in which the logging with crude oil industries are two of the mainly important. Canada is one of the universe ‘s chief providers of agricultural output ; the Canadian Prairies are one of the chiefly of import manufacturers of wheat, canola, and excess grains. Canada is the chief manufacturer of Zn and U, besides is a planetary resource of legion other natural resources, such as gold, nickel, aluminium, with lead. Numerous towns in northern Canada, where agribusiness is tough, are sustainable as of nearby mines or resource of lumber. Agribusiness Canadian farms, piscaries with spreads produce a wide diverseness of harvests, farm animal, nutrient, provender, fibre, fuel plus other goods by the orderly elevation of workss and animate beings which are dependent upon the geographics of the state. In 2001 farms numbered merely 246,923 at a size of 676A estates ( 2.74A kmA? ) as the production of nutrient and fibre for human or farm animal nutriment has evolved into intensive and industrial patterns. As of 2002, wheat constituted the largest harvest country at 12.6 % . Canadian husbandmans received a record $ 36.3 billion in 2001 from farm animal, harvest gross revenues and plan payments. In 2001, the accumulated net income of farm operators from farm production amounted to 1,633 million dollars, which amounts to 0.147 % of Canada ‘s gross domestic merchandise at market monetary values, which is 1,108,200 million dollars. Fisheries are besides playing an of import function while forestry plays a secondary function. Canada â⠂¬Ëœs development has abandoned subsistence techniques and now sees a mere 3 % of Canada ‘s population employed as a mechanised industrial husbandman who are able provender the remainder of the state ‘s population of 30,689.0 thousand people ( 2001 ) every bit good as export to foreign markets. ( After the EU ( 27 ) , the U.S. and Brazil, Canada accounts for 3.5 % of entire universe agribusiness and agri-food exports. World Agricultural and Agri-food Export Share by Country of Origin, 2006 Once considered a sphere harvest in Canada, canola ( Brassica Tragulus Javanicus ) has presently evolved into a first hard currency harvest. Per annum, Canada exports 3.4 million metric dozenss of seeds, 706,000 dozenss of canola oil with 1.15 million dozenss of canola repast ( Source-Canola Council of Canada 2008 ) The Production with Price influence of Biotech Corn, Canola, plus Soybean Crops in Biotech harvests have at this clip been adult commercially on a considerable worldwide graduated table of all time since 1996 in Canada. There is a survey traveling on the influence on cosmopolitan production, ingestion, trade, and monetary values in the soya bean, canola, and maize sectors. The survey propose that universe monetary values of maize, soya beans, with canola would most probably be, correspondingly, 5.8 % , 9.6 % , plus 3.8 % higher, on norm, than 2007 baseline tallness if this engineering was no longer accessible to husbandmans. Monetary values of agencies imitative of soya beans ( repast with oil ) would every bit good be among 5 % and 9 % elevated, with rapeseed repast with oil monetary values being refering 4 % higher than baseline tallness. Globe monetary values of affiliated cereals plus oil-rich seeds would excessively be likely to be elevated by 3 % to 4 % . ( All figures A ; facts from-Brookes, Graham ; Yu, Tun Hsian ; Tokgoz, Simla, Elobeid, Aman The Production and Price Impact of Biotech Corn, Canola, and Soybean Crop Agbioforum Contents of volume 13, figure 1 ) Canada ‘s canola concerns add up over $ 11 billion in economic action to the Canadian wealth. In the 5crop old ages initial in 2000-2001, Canada shaped a criterion of 6.2 million dozenss of canola seed /year. In the similar period, Canada annually exported 3.4 million dozenss of canola seeds, 706,000 dozenss of canola oil plus 1.15 million dozenss of canola nutrient. The whole worth of canola seed, oil with repast exports is sing $ 2 billion. Depending lying on the twelvemonth, canola is furthermore Canada ‘s first or else 2nd chiefly cherished grassland harvest. Further than 52,000 Canadian husbandmans produce canola ; produce economic motion of $ 1.4 billion in Ontario with Quebec, plus $ 7.5 billion in western Canada. Canola is every bit good adult in the north cardinal plus southeasterly United States. Canola-based bio Diesel concerns within Canada base for the opportunity to bring forth $ 620 million in capital investing in this state plus infix an excess $ 2.4 billion keen on the economic system per annum. FIGURE 2 ( SOURCE-IMAGE-www.canolainfo.org ) Main canola-based bio Diesel provider: Blue Sun Bio Diesel Canadian Bio energy Corporation Milligan Bio-Tech Inc Bio Fuel Canada Limited During December 2006 the cardinal authorities proclaim clasp of a countrywide renewable fuel program mission for a 5 % renewable fuel norm in every Canadian fuel, every bit good as a 2 % permission for renewable within Diesel through 2012.Canada ‘s canola agriculturists are complete to construct a Canadian biodiesel concern occur now. More than the past 40 old ages they have construct the canola industry get downing the place up to a $ 14 billion-a-year concern in Canada, plus international clients are by now looking for Canadian canola as an attractive feedstock GM CROPS In twelvemonth 2004, the united States have refering 9 times the figure of hectares of GM harvests than Canada. This is perchance non amazing, because the United States has well excess farming area than Canada. Though, it is value observing to because 1997, Canada have improved the figure of square hectares faithful to GM harvests through sing four epoch contrast to United States, which has full-grown its devoted part through refering six times. Canada is at rest tierce in the Earth in whole figure of hectares of GM harvests, following the United States plus Argentina. Chart 3 ( Source-Trefor Munn-Venn and Paul Mitchell, Biotechnology in Canada: A Technology Platform for Growth Report December 2005. ) Accessible statistics propose that Canada has the chiefly developed biofood-processing part, by the chief grosss ( $ 1.3 billion in 2003 ) , most figure of house ( 54 ) , highest investing in R A ; D ( $ 23 million in 2003 ) plus the chiefly employees ( 761 ) . This is individual country anyplace the excess higher statistics assortment ability of figures Canada differentiate Canada from the remainder of the Earth. It is clear that there is immense chance for biotechnology in agribusiness in the coming old ages. The acceptance of more GM harvests will heighten the increasing possible output brought approximately by the use of a immense country of new land, which could potentially make an excess 100 million hectares, fuelled by the continued demand from strong domestic and international markets, peculiarly from China. In order for the immense potency for biotechnology in agribusiness to be realized in Canada certain barriers must be overcome one such issue is whether the acceptance of GM harvests is more economical to the smaller scale manufacturer, every bit good as to big GM harvest bring forthing corporations. It is clear that there is immense chance for biotechnology in agribusiness in the coming old ages. The acceptance of more GM harvests will heighten the increasing possible output brought approximately by the use of a immense country of new land, which could potentially make an excess 100 million hectares, fuelled by the continued demand from strong domestic and international markets, peculiarly from China, who confirmed soybean importing for five old ages from 2008, deserving 25 % of the US $ 1.7 billion worth of entire exports to China each twelvemonth [ James, 2008 ] . Canada histories for further than half of universe trade in canola seed, repast, with oil. Canadian manufacturers continue to spread out canola country and production. Demand scenario expression strong due to developing usage of vegetable oils in China and India with canola-oil-based biodiesel usage in the EU. The Canadian suppression industry is increasing fast to keep increased insist for canola oil. In the following 2 old ages, farther than 1.5 million metric dozenss of canola oppressing capacity is predictable to be develop in the Canadian Prairie Provinces. Several of the increased canola oil could be used to bring forth biodiesel. Canada controls the universe canola export trade, with a market portion of 71 per cent in the three old ages to 2005-06. Although GM assortments comprise 79 per cent of Canada ‘s canola production, virtually all of the state ‘s export canola is considered to be GM because there is no segregation of GM and non-GM harvests. This did non halt its exports making record degrees in 2006. Biobased economic system Canada ‘s biobased economic system with its chief constituents ( Figure 4 ) , one sees a mix of all four biobased economic system major sub- sectors. Lead through the wellness, medical specialty, with pharmaceutical subdivision, it is followed through agribusiness and harvest production. Canada ‘s crop-production division GDP is about $ 14.7 billion, by 17.3 million estates of genetically modified harvests out of 74.6 million entire estates of chief cropland. Canadian husbandmans, manufacturers, with clients are on mean therefore in a superior place to reap the returns linked with the credence of following coevals industrial biotech procedures, including biofuels along with biorefining procedures. The utilize of GMOs is opening the door to industrial biotechnology addition in these developing economic systems, all through, for illustration, chance to make biofuel feedstock ‘s and to use in biorefining, with production of higher-yield besides higher-value harvests. BIOFUEL Canada look like the US in its market-oriented economic system, sample of production, and affluent life criterions. Development of the fabrication, excavation, and service sectors has changed the state from a chiefly rural economic system into an industrial, metropolitan economic system. Canada ‘s GDP in 2006 was about $ 1.18 trillion ( a‚ ¬0.8 trillion ) . Canada is a state wealthy in fossil fuel resources. In 2000, 39 % of Canada ‘s chief energy was from crude oil, 28 % from natural gas besides 13 % from coal. 11 % was by renewable hydropower, and merely 6 % from renewable biomass. Forecast for the following twosome of decennaries are for a biomass portion of 6-9 % . As given in Fig 5, 28 % of bring forthing ability from renewable resources by biomass. Bioenergy production semen from a wide scope of beginnings: common heat and power, gasification, pyrolysis, landfill gas, ethyl alcohol from grain besides cellulose. Biomass Resources Woody Biomass Forest biomass may be by and large divided into 2 group ; mill residue plus forest residue tops, subdivisions and foliages from crop with thinning operations that are left in the wood or at wayside after delimbing. In Ontario, a bark boiler undertaking at the Abitibi-Bowater mush A ; paper factory in Ft. Frances is presently below building. It plans to devour about 230,000 ODt of factory residues. Agricultural Residues Farmlands occupy 67.5 M hour angle ( million hectares ) in Canada, approximately 6.7 % of the whole land base. Crops are grown-up on 36.4 M hour angle, or 54 % of farming area. Agricultural activity produces 1000000s of metric tons of biomass annually, which may be classified as: virgin biomass- grown for energy, besides waste biomass- residuary fraction of primary crop, and farm animal wastes. . Residues recoverable and sustainably removable were predictable at 29.3 Odt yearly, though some of this goes to conventional utilizations such as carnal bedclothes and mulching. Ethanol Feedstock In Canada 70 % of ethyl alcohol is complete by maize in Eastern Canada, with 30 % is by from wheat in Western Canada. Ontario is the major corn-producing part in Canada, and soon 60 % of Canadian ethanol industry is in Ontario. . An expected 8.4 million metric tons of maize were usage for nutrient and 635,000 metric tons were used for ethyl alcohol. To piece the feedstock supply necessary through the ethyl alcohol workss working in 2009, 2.9 million metric tons maize may be desired. Biodiesel Feedstock A 2 % federal biodiesel mandate may change the feedstock attitude for biodiesel. In 2007 feedstocks for biodiesel constitutional 35 million liters of carnal fats with 18 million liters of imported thenar oil. Plentiful canola and soya beans may be used, but these harvests are priced as nutrient oils in planetary markets and bear a high monetary value. Canola is in high bid as healthy oil through the nutrient industry. Rendered oils, rendered carnal fats and palm oil are monetary value as provender and fabrication usage and bear a lower monetary value. Industry beginnings have expected that the 250 million liters of biodiesel require by the mandate in 2012 may be manufactured from family animate being fats, and 250 million liters by imported thenar oil, separating canola and soya bean oil for nutrient. 2004 Canada had 78.9 GW of ability from renewable beginning. 67 % was from conventional hydro, 23 % was from small- impact ( little ) hydro, and 9.4 % was from biomass. Of biomass capacity, approximately 26 % ( 1938 MW ) was electrical and 76 % ( 5454 MW ) was thermic. The industry of a whole of 2.25 billion liters of renewable fuels annually. A net annual economic net income of $ 1.473 billion to the Canadian economic system crossways Canada, numbering $ 14.1 million to municipal authoritiess, $ 108.8 million to regional authoritiess, and $ 111.8 million to the cardinal authorities. An predictable annual benefit of $ 540 million in excess oil exports that are likely as of western Canada biofuels manufacture.The ethyl alcohol and biodiesel industry inside Canada produce about $ 2.2 billion a twelvemonth. The workss produced 14,000 occupations, and every the workss may keep about 1,000 stable occupations. Health With a 9 % annual growing rate, Canada is the 3rd highest lifting market in the universe for pharmaceuticals. The sector net income from Canada ‘s booming biotechnology industry that gives fuels to pharmaceutical companies ‘ growing. Include to these advantages well-educated employees with really trained scientists and technicians, every bit good as business-friendly direction policies, and it ‘s non amazing that about every chief pharmaceutical company has developed and/or R A ; D operation in Canada. latest Investing within CANADA Charles River Laboratories International, of Massachusetts, may open a presymptomatic services service in Quebec in 2009, which is eventually likely to use 1,000 people. Sanofi Pasteur spended $ 100 million in a fresh R A ; D ability in Ontario in 2008. GlaxoSmithKline invested excess than $ 178 million in Canadian R A ; D in 2007 entirely. Sandoz, a divider of the Novartis Group, open a fabrication works in Quebec in 2008, division of its $ 80 million investing publicize in 2007. Boehringer Ingelheim finished a $ 36 million investing in novel, advanced research labs in Quebec during 2008. Canada plays a chief function in the world-wide biopharmaceutical industry, with specific power in research and development ( R A ; D ) , clinical tests with fabrication. All of the acme 10 international pharmaceutical companies, in conditions of grosss, have operations in Canada, legion with R A ; D and fabricating mandate. In 2007, world-wide biopharmaceutical gross revenues amounted to US $ 663.5 billion. That similar twelvemonth, the Canadian biopharmaceuticals sector witnessed gross revenues of $ 17.6 billion and exports of about $ 6.3 billion. About 80 per centum of these exports were control to the U.S. market. In 2007, Canada was domicile to 397 pharmaceutical with 404-biotechnology organisation, using about 29,000 people crossways the state. Canada has the 2nd top figure of biotechnology companies in the Earth and is home to several of the largest recognized bunchs in the pharmaceutical industry. Authorized counts of constitutions classified as pharmaceutical industrialized. Below chart explain Toronto and Montreal compare healthy to Jersey City, New Jersey, one of the chiefly celebrated pharmaceutical industry base inside North America. Chapter Decision Biotechnology has been described as a Canadian chief concern in visible radiation of its acknowledgment for possible to drive sustainable growing. This is chiefly due to its immense influence on the ways in which natural resources may be exploited and the properties on the environment. The sheer wealth of different natural resources at Canadians remotion may surely drive its growing for old ages to come provided that such resources are used responsibly. Biotechnology might hold a immense influence on the health care sector throughout the usage of biodiversity form the chief Canadian rain forest as a natural resource. This mostly unknown resource might supply tremendous benefits for the wellness industry and economic system of Canadian for old ages to come ought to it be found to include new drug campaigners between its tremendous biodiversity. Net income of biotechnology in the agribusiness industry are antecedently being seen and may keep to cultivate as Canada extra exploits its immense land country, lifting its exports of chief harvests such as canola, turning GDP, whilst supplying farther nutrient besides generate more occupations for many biotechnology alumnuss. The utilize of biotechnology in the Biofuel/biodiesel industry together generates a renewable, sensible beginning of energy, whilst cut downing the influence on the environment signifier the combustion of fossil fuels. Even as the feeling on the usage of natural resources itself is profound, this industry besides has immense economical deduction for Canada, which has traditionally relied on imports for the size of its energy demands, plus hence progress energy security. Further industries such as biomining may besides play a function in the development of Canada in the upcoming by heightening the ability to work the valuable metals present at that place. Canada seems to be a typical illustration of how the development of natural resources utilizing biotechnology can be used to significantly drive the growing and development of the state, and it may merely be a affair of clip before Canada is considered developed, sing the renewable resources at its disposal, and the procedures in topographic point to work them. The economic influence of Canadian renewable fuel workss, with the effects is incontestable ; ethyl alcohol and biodiesel in Canada are driving growing. Canada ‘s latest renewable fuel criterion is presenting on its assure of occupations, investing plus growing. How to cite Biotechnology Opportunities In Canada Environmental Sciences Essay, Essay examples

Association Rule in Business Intelligence †MyAssignmenthelp.com

Question: Discuss about the Association Rule in Business Intelligence. Answer: Introduction The theory of business intelligence (BI) is often referred to as a combination of various practices, application and technologies bused for collecting, integrating, analyzing and presenting new information. Zhao and Bhowmick (2015, p.64) showed that the application of various BI process allows any business organization to analyze, store and access data for the decision making process. According to Moro, Cortez and Rita (2015, p.1322), content and data must not be characterized as separate object, but need to me utilized together in a integrated format for assisting generating more business opportunities. In order to keep track, analyze and monitor the significant data, organizations used various technologies and software applications. Kasemsap (2015, p.25), showed that development of the BI software has been developed with the significant goal for importing, extracting and analyzing the data for revealing the insight of business information. Larose (2014, p.6), claimed that in todays world with the advancement of information technology, data are being produced in significant velocity and volume. The exponential increment of data has made it difficult for the business organization to select and identify the crucial information for assisting in business decision making process. Fan, Lau and Zhao (2015, p.91), showed that data mining procedures, processes and techniques are being widely used in both scientific and commercial domain for analyzing and extracting huge amount of data that are both in structured and unstructured or mixed formation. Over the past decade, various tools, techniques and algorithm have been proposed and developed for mining information for the process of BI. Giannotti et al., (2013, p. 388) claimed that various software and applications used for the Business Intelligence often employ the techniques and theories of data mining and association rules. This particular report aims at evaluating the role of data mining and association rule in business intelligence. Apart from that, the reports tend to evaluate the various process and algorithms of association rules are widely used for data mining. Furthermore, based on the information gained, the study will try to identify the better process or algorithm that would enhance the business intelligence process with association rule. Slimani and Lazzez (2014, p. 143) showed that the techniques of association rules are widely used in the business operations for the discovery of the various products and services combinations that the customers tends to purchase together. Further, the application of the association rules ensures the determination and evaluation of the underlying relationship between the various products and the hierarchy of products used for purchase of products. This particular chapter aims at evaluating and reviewing five past articles for evaluating the use of association rules in business intelligence and various processes of techniques used for data mining in business organizations. Association Rule Approach for Evaluation of Business Intelligence for Enterprise Systems Paper is About: In this particular article, the author showed that data mining processes and techniques are extensively used in the business intelligence software for identifying crucial information related to business operations. In this article, the authors have highlighted the significant application of association rule algorithms for data mining process in business organizations. Furthermore, Rouhani et al., (2012, p.8) have provided a process map using the association rules algorithm for business intelligence. In addition to that, the article has represented a combined process used with the apriori and business intelligence techniques used for data evaluation and analysis in business organization. Apart from that traditional process of using association rule in business intelligence for extracting information has also been reviewed. Technical Details: Rouhani et al., (2012, p.2) have defined the role of the association rule in data mining is for detecting the underlying association or relation in large volume of data set based on defined nominal attribute values. Further it has been identified that the association rule is used for discovering the relation between different items used from the huge set of transaction. Further, the author has used Apriori algorithm as example for of association rule in business processes. Rouhani et al., (2012, p.4) have further showed that association rule is widely used for analyzing market analysis for evaluating the pattern of store types, mail order and purchase of the items in the supermarket. Confidence and support are the two major variable used in association rules for determining the interestingness of the association rule applied for data mining. Rouhani et al., (2012, p.1) claimed that the association rule is considered if the evaluated level of confidence and support are greater that pre-defined confidence and support respectively. Used in association rule in BI: Rouhani et al., (2012, p.5) have stated that in current business operations and environments, ERP (Enterprise Resource Planning) systems are widely used for conducting major operations and computerizing the different procedure used by an organization. ERP systems are often associated with the revising various documents, filing forms and logging various transactions while registering the events that occur in the business and functional module of the organization. Rouhani et al., (2012, p.6) showed that he information and data stored and used in the ERP systems can be used for improving the efficiency and performance of the business processes. Furthermore it has been identified in the paper that process mining or business process mining is utilized for explaining and analyzing the behavior of various process and logs. Therefore, the application of various data mining tools, processes and algorithms would help in improving the data analysis and evaluation process. Further, Rouhani et al., (2012, p.4) showed that the process of data mining helps in process of knowledge discovery and decision making process. In addition to that, the increased use of data mining application and tools are used for providing tremendous support for improving the quantity measurement in business operations. Association Rules Mining for Business Intelligence Paper is About: This particular paper evaluated the process and techniques used in business intelligence and data mining. The author has identified a relation between the data mining and business intelligence used in business operations (Jha, 2014). The paper identified the essential stages and phases of business while determining the needs of data analysis and evaluation for the decision making procedure of organization. Furthermore, the paper has aimed at determining the various challenges and requirement of data mining followed during the business intelligence process (Jha, 2014). Apart from that, the author has classified the various techniques used in the process of data mining while reviewing and analyzing the association rules and algorithms that are being used in the business process. Technical Details: In this paper, data mining has been defined as an issue dependent on the application. Further, Jha, (2014) claimed that various application required different data mining techniques and rule for evaluating the detailed information. Jha, (2014) showed that mining association rule is the major rule that has been widely used by various applications. Two vital algorithm have been identified in the article, namely Nave algorithm and Apriori Algorithm. Further, the author has presented the association of two methods used in the transaction of the items and determined the support and predictability of the association rules obtained from both the algorithm. Used in association rule in BI: Jha, (2014) illustrated that huge data are being generated by various electronic devices and application of barcodes in the departmental and business has increased the amount and velocity of data generation. Further, the author has provided example by stating and on a daily basis, Wal-Mart generated 20 million data based on transaction of good. The application of the association rule for the mining of information assist the analysis in gaining information that makes sense to the business processes (Jha, 2014). The application of the association rule allows the determining and identifying the habit of the customer in purchasing items from the store. Apart from basket analysis, association rule has significant application in classification, e-commerce, finances, web mining, customer segmentation and marketing. Comparative Survey on Association Rule Mining Algorithms Paper is About: Girotra et al., (2013, p.20) have identified the popularity of association rule in the process of data mining among the business organization and marketers. The author has showed that association rule in data mining and discovery creates various subset of the large item set for determining the existing relationship between the items. In this paper, the author has identified that the association rule is divided into two significant parts. The initial phase determines the most frequent sets used among the large volume of unstructured or structured data (Girotra et al., 2013, p.18). While the second phase is used to determine the association rule or relationship between them. The paper has evaluated the different algorithm and process that are used for the association rule identification in knowledge discovery. Technical Details: The authors have identified eight significant algorithms that are frequently used in the association rules. The algorithm identified includes FP- Growth, Recursive Elimination, Eclat, Apriori hybrid, AprioriTID, Apriori, SETM and AIS. Various characteristic and functions of the different algorithms has been identified in the article. In addition to that, the authors have developed a detailed comparison of the various algorithms based on their features and functions (Girotra et al., 2013, p.20). From the detailed comparison and analysis it has been identified that use of Apriori Algorithm is most useful in case of closed set of items while Eclat is most advantageous in case of free set of items. The author showed that Apriori Algorithm, showed more efficiency and advantageous in performance and operations considering the other entire algorithm identified. Furthermore, it has been illustrated that the technique and process of Recursive Elimination were better conside ring all the features of Apriori but poorer when compared to Eclat algorithm used. Used in association rule in BI: The theory of association rule has been developed for identifying the most frequent item set purchased and often considered as the market basket analysis pattern or process. Girotra et al., (2013, p.21) claimed that the business executives and the professionals often uses the theory and technique of association rue for developing the layout plan and to place the services and items placed together for increasing the purchase rate and efficiency. Furthermore, the author claimed in todays business world, where technology and hand held devices are widely used, data are generated at high rate. The detailed information related to business are essential for developing various strategies related to business analysis (Girotra et al., 2013, p.22). The application of business intelligence helps in extracting raw information and provides structure understandable data that are useful for decision making process in business. Therefore, the application of association rule and data mining technique would help the analyst in performing the data evaluation in easier and much efficient manner. Performance Analysis of Apriori and FP-Growth Algorithms (Association Rule Mining) Paper is About: In this paper, the author has identified that association rule and data mining techniques are widely used in various data analysis and mining process all over various industries (Bala et al., 2016, p.283). The selected paper aims at defining the association rule and the concept of data mining used for data analysis and knowledge discovery in various business organizations. The author has identified the two significant algorithm of association rule namely FP Growth and Apriori for comparison and analysis of the difference of performance on the data identification and analysis (Bala et al., 2016, p.291). In addition to that, the author has used WEKA software for determining and evaluating the effectiveness of the performance of the association rule. Technical Details: While analyzing the apriori algorithm, the author has identified the procedure and techniques used for determining the association rule. The author has showed apriori runs on four significant steps. The initial step includes the generation of the element dataset of most frequently used items (Bala et al., 2016, p.286). The step is followed by join step process for identifying the number of candidate in the frequent step and self join with each other. The necxt step is followed by the pruning of the frequent dataset. In the last step, the data set that are least used are pruned from the association rule. Bala et al., (2016, p.283) showed that application of apriori algorithm uses more space results in the increased database. Similarly, FP Growth analysis has been analyzed for the evaluation of the performance. It has been identified that FP growth uses two phase process, first for developing the dataset and second phase for traversal of the FP tree. Used in association rule in BI: the association rule in the process of business intelligence can be utilized for digging out the relevant information regarding various process and technique used in business processes. The author has demonstrated that the applications of association rule in the business intelligence process allows in extracting hidden and underlying information from huge dataset and network for determining the potential association between the neglected items and predict the trends that can be used in decision making procedure (Bala et al., 2016, p.289). Association Rule Mining with Apriori and FP - growth Using Weka Paper is About: Mishra, Pani and Ratha (2015, p.2841) have showed association rule is one of the significant technique for mining significant information. In this paper, the author has determined and evaluated the significant technique and process used for the two major association rule including Apriori and FP Growth (Mishra, Pani and Ratha 2015, p.2838). The paper determines the effectiveness and performance of the two major algorithms. The author has used WEKA tools for determining the efficiency of the algorithm. Based on the analyzing and association rule generation in WEKA application, Technical Details: The paper showed various clustering technique used in the association rule including Model-based methods, Grid-based methods, Density based methods, Hierarchical Agglomerative and Partitioning Methods. Mishra, Pani and Ratha (2015, p.2840) author showed that Apriori Algorithm uses large dataset that are kept in lexicographic order. Furthermore, it has been identified that in Apriori method, the item set are detected on the basis of various pass and transaction while eliminating the item assets that are less frequently used. On the other hand, FP Growth algorithm is characterized with prefix tree structure, fragment pattern growth and frequent pattern for developing the FP tree. Used in association rule in BI: The author has claimed that association rule is one of the revolutionary technology and procedure used for determining the data evaluation and pattern. The process of association rule in data mining allows in determining the correlation between the different patterns in huge volume of relational database. Therefore, the author claimed that the association rule are used in the business intelligence on data warehouse for managing the multidimensional data and accessing information for professional use and decision making procedure of the business organization (Mishra, Pani and Ratha 2015, p.2839). The data mining technique provides visualization, analysis, recognition and warehousing of huge information for enhancing the performance and efficiency. Critical Review/ Analysis The above five journal articles have demonstrated and evaluated the various algorithms and processes used in the data mining and association rule for identifying the underlying relation between huge dataset Zhao and Bhowmick (2015, p.64). The detailed literature survey of the various papers has showed that association algorithm and apriori algorithm are widely used in various process and techniques. The literature survey has demonstrated the significant and performance analysis of the various association algorithm and observed that Apriori algorithm has maximum amount of performance efficiency when considered between various algorithms with closed dataset. Further, it has been identified that all the authors have included the application of Apriori Algorithm in their analysis and evaluation process Moro, Cortez and Rita (2015, p.1322). The application of the Apriori algorithm can be considered standard for data mining and evaluation for large dataset. In addition to that, from the da ta evaluation of the survey, it has been observed that authors tends to use WEKA software tools for evaluation and determining the efficiency of the algorithm while developing the association rule between the algorithm. In addition to that, the application of association algorithm for data mining, evaluation and visualization provides detailed information about the underlying process and items that can be used for the decision making process of the business. Therefore, it can be claimed that association rule for data mining is a subset of the business intelligence process used in various industries. Furthermore, Slimani and Lazzez (2014, p. 143) claimed that based on the needs and requirement of the business intelligence software and the observation, various algorithm are employed for determining the existing and underlying trends and pattern in the information. The above survey of past literature has able to provide detailed information about the various association algorithm used in the data mining process. Various business intelligence software and systems including ERP, CRM and CSM used data mining algorithms, tools and techniques for taking business intelligence. The discovery of association rule and algorithm have increased and improved the efficiency of the knowledge discovery in business intelligence process. The detailed survey focused on the application of association rules and techniques for data mining process. The survey was able to provide detailed information regarding the different procedure and need of association rule in the business intelligence. The detailed survey showed that the apriori algorithm provides efficient result in the process mining and evaluation of detailed information. Therefore, the above evaluation was successful in determining the significant process, technique and procedure that are frequently used in association algorithm. In addition to that, the survey has focused and showed light in the application of association rule for the data intelligence and fact finding technique used in the business intelligence procedure of various business organizations. 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