{"id":767,"date":"2021-10-14T13:40:59","date_gmt":"2021-10-14T13:40:59","guid":{"rendered":"https:\/\/itgeeks.in\/home\/?p=767"},"modified":"2021-10-14T13:41:00","modified_gmt":"2021-10-14T13:41:00","slug":"2k6-cs-805f-data-mining-and-data-warehousing","status":"publish","type":"post","link":"https:\/\/itgeeks.in\/home\/?p=767","title":{"rendered":"2K6 CS 805(F) DATA MINING AND DATA WAREHOUSING"},"content":{"rendered":"\n<p><strong>Module I (14 hours)<\/strong><br>Fundamentals of Data Mining-What is data mining, Data mining strategies(Mining Frequent pattern, Association, classification &amp; prediction, cluster analysis)-classification of data mining systems-major issues in data mining-Data preprocessing-Data mining applications. Data warehouse &amp; OLAP technology- What is data warehouse, Multi dimensional data model, star, snowflakes and fact constellations, OLAP operations in Multidimensional data model- Data warehouse architecture-A three tier data warehouse architecture-Data warehouse back-end tools and utilities-types of OLAP servers.<br><strong>Module II (13 hours)<\/strong><br>Mining Frequent patterns- Frequent item sets, closed item sets and association rules, APRIORI algorithm for finding frequent item sets, Generating association rule from frequent item. Classification and Prediction-Issues regarding classification and prediction, classification by decision tree Induction, Bayesian classification, Rule based classification, SVM, k-Nearest neighbor classifiers. Prediction-Linear regression, Nonlinear regression.<br><strong>Module III (13 hours)<\/strong><br>Cluster analysis- What is cluster analysis, Type of data in cluster analysis-Categorization of major clustering Methods-classical partitioning methods- K-means and K-Medoids, Hierarchical methods-BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies)- Introduction about Density based methods, Grid based methods model based methods and outlier analysis.<br><strong>Module IV (12 hours)<\/strong><br>Introduction about Mining data streams, mining time series data, spatial data, multimedia data, text data and web (Concepts only). Introduction about WEKA Data mining tool- introduction, installation, WEKA data file format, Data visualization, Data filtering, selecting attributes, Data mining with WEKA, APRIORI algorithm through WEKA, clustering through WEKA, regression analysis through WEKA<\/p>\n\n\n\n<p><strong>Text books<\/strong><br>1.\u00a0<a href=\"https:\/\/itgeeks.in\/home\/?p=768\">Data Mining \u2013 Concepts and Techniques \u2013 Jiawei Han &amp; Michaline Kamber Elsevier, second edition<\/a> .<br>2. Data Mining: Methods and Techniques, ABM Shawkath Ali, Saleh A Wasimi, Cengage Learning India edn. (for WEKA data mining tool)<br><strong>Reference books<\/strong><br>1. Data Mining Introductory and advanced topics \u2013Margaret H Dunham, Pearson Education<br>2. Data Mining Techniques \u2013 Arun K Pujari, University Press\u00a0\u00a0<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link\" href=\"https:\/\/itgeeks.in\/home\/?p=205\">S8 QUESTION PAPERS<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Module I (14 hours)Fundamentals of Data Mining-What is data mining, Data mining strategies(Mining Frequent pattern, Association, classification &amp; prediction, cluster<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36,23,9,8],"tags":[7],"class_list":["post-767","post","type-post","status-publish","format-standard","hentry","category-ku-s8-cse","category-ku-syb-s8","category-ku-syllabus","category-syllabus","tag-kannur-university"],"_links":{"self":[{"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/posts\/767","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=767"}],"version-history":[{"count":1,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/posts\/767\/revisions"}],"predecessor-version":[{"id":770,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/posts\/767\/revisions\/770"}],"wp:attachment":[{"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=767"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=767"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=767"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}