ul li1 Seminar Association Rules Mining-Apriorili li2 ul liStudy on Application of Apriori Algorithm in Data Miningli ul ul li2010 Second International Conference on Computer Modeling and Simulationli ul ul liYanxi Liuli ul ul li2010 IEEEli ul li li3 ul liAssociation rule mining:li ul ul li ul liFinding frequent patterns associations correlations orli ul li ul ul liApplications:li ul ul li ul liBasket data analysis cross-marketing catalog design loss-leader analysis clustering classification etcli ul li ul ul liExamplesli ul ul li ul liRule form: Body ead support confidenceli ul li ul ul li ul libuysx diapers buysx beers 05% 60%li ul li ul ul li ul limajorx CS ^ takesx DB gradex A 1% 75%li ul li ul li li4 ul liGiven: 1 database of transactions 2 each transaction is a list of items purchased by a customer in a visitli ul ul liFind: all rules that correlate the presence of one set of items with that of another set of itemsli ul ul li ul liEg 98% of people who purchase tires and auto accessories also get automotive services doneli ul li ul ul liApplicationsli ul ul li ul li* Maintenance Agreement What the store should do to boost Maintenance Agreement salesli ul li ul ul li ul liHome Electronics * What other products should the store stocks upli ul li ul ul li ul liAttached mailing in direct marketingli ul li ul ul li ul liDetecting ping-ponging of patients faulty collisionsli ul li ul li li5 ul liApriori algorithm is one of the most influentialli ul ul lialgorithms to mine the frequent item sets of Boolean association rulesli ul li li6li li7 ul liMining Association Rules Using Fast Algorithmli ul ul liMAnandhavalli Sandip Jainli ul ul li2010 IEEEli ul li li8 ul liEfficiently Using Matrix in Mining Maximum Frequent Itemsetli ul ul li2010 Third International Conference on Knowledge Discovery and Data Miningli ul ul liLiu Zhen-yuli ul ul li2010 IEEEli ul li li9 ul liAn Encounter with Strong Association Rulesli ul ul liG S Bhamrali ul ul li2010 IEEEli ul li li10 Title ul...