{"id":27445,"date":"2020-07-06T05:59:28","date_gmt":"2020-07-06T05:59:28","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/data-warehousing-and-data-mining-cc-6th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-i\/"},"modified":"2020-07-06T05:59:28","modified_gmt":"2020-07-06T05:59:28","slug":"data-warehousing-and-data-mining-cc-6th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-i","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/data-warehousing-and-data-mining-cc-6th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-i\/","title":{"rendered":"Data Warehousing and Data Mining C&amp;C 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective I)"},"content":{"rendered":"<p>Data Warehousing and Data Mining C&amp;C 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective I) detail syllabus for Computer &amp; Communication Engineering (C&amp;C), 2017 regulation is collected from the <a href=\"https:\/\/www.annauniv.edu\/\" target=\"_blank\" rel=\"noopener\">Anna Univ<\/a> official website and presented for students of Anna University. The details of the course are: course code (CS8075), Category (PE), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n<p>For all other c&amp;c 6th sem syllabus for be 2017 regulation anna univ you can visit <a href=\"..\/cc-6th-sem-syllabus-for-be-2017-regulation-anna-univ\">C&amp;C 6th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. For all other Professional Elective I subjects do refer to <a href=\"..\/professional-elective-i-cc-6th-sem-syllabus-for-be-2017-regulation-anna-univ\">Professional Elective I<\/a>. The detail syllabus for data warehousing and data mining is as follows.<\/p>\n<p><h4>Course Objective:<\/h4>\n<ul>\n<li>To understand data warehouse concepts, architecture, business analysis and tools<\/li>\n<li>To understand data pre-processing and data visualization techniques<\/li>\n<li>To study algorithms for finding hidden and interesting patterns in data<\/li>\n<li>To understand and apply various classification and clustering techniques using tools.<\/li>\n<\/ul>\n<p><h4>Unit I<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit II<\/h4>\n<p><strong>Data Mining &#8211; Introduction<\/strong><br \/>\nIntroduction to Data Mining Systems &#8211; Knowledge Discovery Process &#8211; Data Mining Techniques &#8211; Issues &#8211; applications- Data Objects and attribute types, Statistical description of data, Data Preprocessing &#8211; Cleaning, Integration, Reduction, Transformation and discretization, Data Visualization, Data similarity and dissimilarity measures.\n<\/p>\n<p><h4>Unit III<\/h4>\n<p><strong>Data Mining &#8211; Frequent Pattern Analysis<\/strong><br \/>\nMining Frequent Patterns, Associations and Correlations &#8211; Mining Methods- Pattern Evaluation Method &#8211; Pattern Mining in Multilevel, Multi Dimensional Space &#8211; Constraint Based Frequent Pattern Mining, Classification using Frequent Patterns\n<\/p>\n<p><h4>Unit IV<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit V<\/h4>\n<p><strong>Weka Tool<\/strong><br \/>\nDatasets &#8211; Introduction, Iris plants database, Breast cancer database, Auto imports database -Introduction to WEKA, The Explorer &#8211; Getting started, Exploring the explorer, Learning algorithms, Clustering algorithms, Association-rule learners.\n<\/p>\n<p><h4>Course Outcome:<\/h4>\n<p>Upon completion of the course, the students should be able to:<\/p>\n<ul>\n<li>Design a Data warehouse system and perform business analysis with OLAP tools.<\/li>\n<li>Apply suitable pre-processing and visualization techniques for data analysis<\/li>\n<li>Apply frequent pattern and association rule mining techniques for data analysis<\/li>\n<li>Apply appropriate classification and clustering techniques for data analysis<\/li>\n<\/ul>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>Jiawei Han and Micheline Kamber, Data Mining Concepts and Techniques, Third Edition, Elsevier, 2012.<\/li>\n<\/ol>\n<p><h4>References:<\/h4>\n<ol>\n<li>Alex Berson and Stephen J.Smith, Data Warehousing, Data Mining and OLAP, Tata McGraw &#8211; Hill Edition, 35th Reprint 2016.<\/li>\n<li>K.P. Soman, Shyam Diwakar and V. Ajay, Insight into Data Mining Theory and Practice, Eastern Economy Edition, Prentice Hall of India, 2006.<\/li>\n<li>Ian H.Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, Elsevier, Second Edition.<\/li>\n<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE C&amp;C, 2017 regulation do visit <a href=\"..\/category\/cc+6th-sem\">C&amp;C 6th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Warehousing and Data Mining C&amp;C 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective I) detail syllabus for Computer &amp; Communication Engineering (C&amp;C), 2017 regulation is collected [&hellip;]<\/p>\n","protected":false},"author":2297,"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":[49,68],"tags":[],"class_list":["post-27445","post","type-post","status-publish","format-standard","hentry","category-6th-sem","category-cc"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/27445","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\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=27445"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/27445\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=27445"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=27445"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=27445"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}