{"id":294,"date":"2016-11-03T16:07:52","date_gmt":"2016-11-03T16:07:52","guid":{"rendered":"http:\/\/www.inspirenignite.com\/anna-university\/?p=294"},"modified":"2019-07-17T06:57:43","modified_gmt":"2019-07-17T06:57:43","slug":"anna-university-b-tech-it-r13-7th-data-warehousing-and-data-mining-detailed-syllabus","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-b-tech-it-r13-7th-data-warehousing-and-data-mining-detailed-syllabus\/","title":{"rendered":"Anna University B.Tech IT (R13) 7th Data Warehousing and Data Mining Detailed Syllabus"},"content":{"rendered":"<p>Data Warehousing and Data Mining Syllabus for B.Tech 7th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.<\/p>\n<p>The detailed syllabus for Data Warehousing and Data Mining B.Tech (R13) seventhsem is as follows<\/p>\n<p><strong>OBJECTIVES:<\/strong> The student should be made to:<\/p>\n<ul>\n<li>Be familiar with the concepts of data warehouse and data mining,<\/li>\n<li>Be acquainted with the tools and techniques used for Knowledge Discovery in Databases.<\/li>\n<\/ul>\n<p><strong>UNIT I : DATA WAREHOUSING \u00a0<\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 [9 \u00a0hours]<br \/>\nData warehousing Components \u2013Building a Data warehouse \u2013- Mapping the Data Warehouse to a Multiprocessor Architecture \u2013 DBMS Schemas for Decision Support \u2013 Data Extraction, Cleanup, and Transformation Tools \u2013Metadata.<\/p>\n<p><strong>UNIT II : BUSINESS ANALYSIS \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 [9 \u00a0hours]<br \/>\nReporting and Query tools and Applications \u2013 Tool Categories \u2013 The Need for Applications \u2013 Cognos Impromptu \u2013 Online Analytical Processing (OLAP) \u2013 Need \u2013 Multidimensional Data Model \u2013 OLAP Guidelines \u2013 Multidimensional versus Multirelational OLAP \u2013 Categories of Tools \u2013 OLAP Tools and the Internet.<\/p>\n<p><strong>UNIT III : \u00a0DATA MINING<\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 [9 \u00a0hours]<br \/>\nIntroduction \u2013 Data \u2013 Types of Data \u2013 Data Mining Functionalities \u2013 Interestingness of Patterns \u2013 Classification of Data Mining Systems \u2013 Data Mining Task Primitives \u2013 Integration of a Data Mining System with a Data Warehouse \u2013 Issues \u2013Data Preprocessing.<\/p>\n<p style=\"text-align: center\"><strong><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">Download iStudy<\/a> <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">Android<\/a><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\"> App for complete Anna University syllabus, results, timetables and all other updates. There are no ads and no pdfs and will make your life way easier.<\/a><\/strong><\/p>\n<p><strong>TOTAL: 45 PERIODS <\/strong><\/p>\n<p><strong>OUTCOMES<\/strong>: After completing this course, the student will be able to:<\/p>\n<ul>\n<li>\u00a0Apply data mining techniques and methods to large data sets.<\/li>\n<li>Use data mining tools.<\/li>\n<li>Compare and contrast the various classifiers.<\/li>\n<\/ul>\n<p><strong>TEXT BOOKS:<\/strong><\/p>\n<ul>\n<li>Alex Berson and Stephen J.Smith, \u201cData Warehousing, Data Mining and OLAP\u201d, Tata McGraw \u2013 Hill Edition, Thirteenth Reprint 2008.<\/li>\n<li>Jiawei Han and Micheline Kamber, \u201cData Mining Concepts and Techniques\u201d, Third Edition, Elsevier, 2012.<\/li>\n<\/ul>\n<p><strong>REFERENCES:<\/strong><\/p>\n<ul>\n<li>Pang-Ning Tan, Michael Steinbach and Vipin Kumar, \u201cIntroduction to Data Mining\u201d, Person Education, 2007.<\/li>\n<li>K.P. Soman, Shyam Diwakar and V. Aja, \u201cInsight into Data Mining Theory and Practice\u201d, Eastern Economy Edition, Prentice Hall of India, 2006.<\/li>\n<li>G. K. Gupta, \u201cIntroduction to Data Mining with Case Studies\u201d, Eastern Economy Edition, Prentice Hall of India, 2006.<\/li>\n<li>Daniel T.Larose, \u201cData Mining Methods and Models\u201d, Wiley-Interscience, 2006.<\/li>\n<\/ul>\n<p>For all other B.Tech IT 7th sem syllabus go to <a href=\"http:\/\/www.inspirenignite.com\/anna-university\/anna-university-b-tech-information-technology-7th-sem-course-structure-for-r13-batch\/\">Anna University B.Tech Information Technology (IT) 7th Sem Course Structure for (R13) Batch.<\/a>\u00a0All details and yearly new syllabus will be updated here time to time.<\/p>\n<p>Do share with friends and in case of questions please feel free drop a comment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Warehousing and Data Mining Syllabus for B.Tech 7th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for [&hellip;]<\/p>\n","protected":false},"author":2259,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-294","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/294","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2259"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=294"}],"version-history":[{"count":2,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/294\/revisions"}],"predecessor-version":[{"id":10603,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/294\/revisions\/10603"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=294"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=294"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=294"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}