Michael.J.Berry,Gordon.S.Linoff: Mastering Data Mining, Wiley Edition, second edtion,2012. Sam Anahory, Dennis Murray: Data Warehousing in the Real World, Pearson,Tenth Impression,2012.Ģ. Jiawei Han, Micheline Kamber, Jian Pei: Data Mining -Concepts and Techniques, 3rd Edition, Morgan Kaufmann Publisher, 2012.ġ. Pang-Ning Tan, Michael Steinbach, Vipin Kumar: Introduction to Data Mining, Pearson, First impression,2014.Ģ.
The students will have to answer 5 full questions, selecting one full question from each module.ġ. Author by: Sam Anahory Languange: en Publisher by: Addison-Wesley Professional Format Available: PDF, ePub, Mobi Total Read: 94 Total Download: 663 File Size: 47,9 Mb Description: This is a practical, hands-on guide which explains tried-and-true techniques for developing data warehouses using relational databases and open system technology.Each full question will have sub questions covering all the topics under a module.There will be 2 full questions (with a maximum of four sub questions) from each module.Each full Question consisting of 20 marks.The question paper will have ten questions.Choose between classification and clustering solution.Write association rules for a given data pattern.Identify data mining problems and implement the data warehouse.Overview, K-Means, Agglomerative Hierarchical Clustering, DBSCAN, Cluster Evaluation, Density-Based Clustering, Graph-Based Clustering, Scalable Clustering Algorithms.
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