{"id":22758,"date":"2020-02-23T17:01:29","date_gmt":"2020-02-23T17:01:29","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/35352-data-mining-and-data-warehousing-comp-networking-5th-sem-syllabus-for-diploma-tndte-m-scheme\/"},"modified":"2020-02-23T17:01:29","modified_gmt":"2020-02-23T17:01:29","slug":"35352-data-mining-and-data-warehousing-comp-networking-5th-sem-syllabus-for-diploma-tndte-m-scheme","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/35352-data-mining-and-data-warehousing-comp-networking-5th-sem-syllabus-for-diploma-tndte-m-scheme\/","title":{"rendered":"35352: Data Mining and Data Warehousing Comp Networking 5th Sem Syllabus for Diploma TNDTE M Scheme"},"content":{"rendered":"<p>Data Mining and Data Warehousing detail TNDTE Diploma syllabus for Computer Networking (CN), M scheme is extracted from <a href=\"http:\/\/www.tndte.gov.in\/site\/syllabus\/\" target=\"_blank\" rel=\"noopener\">TNDTE<\/a> official website and presented for diploma students. The course code (35352), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below. The syllabus PDFs can be downloaded from official website.<\/p>\n<p>For all other comp networking 5th sem syllabus for diploma m scheme tndte you can visit <a href=\"..\/comp-networking-5th-sem-syllabus-for-diploma-m-scheme-tndte\">Comp Networking 5th Sem Syllabus for Diploma M Scheme TNDTE Subjects<\/a>. The detail syllabus for data mining and data warehousing is as follows.<\/p>\n<p><h4>Rationale:<\/h4>\n<\/p>\n<p><h4>Objectives:<\/h4>\n<ul>\n<li>Understand the meaning of Data Mining and Data Warehousing.<\/li>\n<li>Explain architecture of Data Mining .<\/li>\n<li>Know the advantages, disadvantages and limitations of data mining .<\/li>\n<li>Understand the operations of Data Mining<\/li>\n<li>Understand Data pre-processing.<\/li>\n<li>Study about the application and future scope of Data mining.<\/li>\n<li>Know about different data mining techniques.<\/li>\n<li>List the data warehouse characteristics.<\/li>\n<li>Explain challenges and future of the Data Warehousing.<\/li>\n<li>Difference between Data Warehouse and Data Mining.<\/li>\n<li>Discuss Data Warehouse Architecture.<\/li>\n<li>Identify the components of Data Warehouse<\/li>\n<li>Study about OLP<\/li>\n<li>Explain Decision Support System.<\/li>\n<li>Compare TRS, IRS and DSS Characteristics<\/li>\n<\/ul>\n<p><h4>Unit 1<\/h4>\n<p><b>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 Syllabus App<\/a>.<\/b> It&#8217;s a lightweight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit 2<\/h4>\n<p><b>Data Mining Techniques And Application Of Data Mining<\/b><\/p>\n<ol>\n<li>Data Mining Techniques:<\/li>\n<p>Introduction &#8211; Decision Trees &#8211; Neural Networks -Nearest -Neighbor and clustering &#8211; Genetic Algorithms &#8211; Rule Induction -Data Visualization and Overall Perspective<\/p>\n<li>Application and Future Scope:<\/li>\n<p>Applications of Data mining &#8211; Mining the world wide web &#8211; The scope of Data mining &#8211; Future scope of data mining<\/p>\n<\/ol>\n<p><h4>Unit 3<\/h4>\n<p><b>Data Warehouse<\/b><\/p>\n<ol>\n<li>Introduction :<\/li>\n<p>Definition &#8211; Data Warehouse Delivery Method &#8211; Difference between OLTP and Data Warehouse Database &#8211; Need for separate Data Warehouse &#8211; Concept Hierarchy &#8211; Data Warehouse Characteristics -Attributes &#8211; Examples &#8211; Benefits of Data Warehouse &#8211; Purpose of Data Warehouse &#8211; Specialized Applications of Warehousing Technology &#8211; Challenges of the Data Warehouse &#8211; Future of the Data Warehouse -Relationship between Data Mining and Data Warehousing &#8211; Differentiate between Data Warehouse and Database<\/p>\n<li>Multidimensional Data Model :<\/li>\n<p>Introduction &#8211; Data Cube &#8211; Star Schema -Difference between fact data and Dimension data &#8211; Snowflake schemas -Difference between snowflake and star schemas &#8211; Important aspects of star and snowflake schemas &#8211; Fact constellation &#8211; Features of multidimensional Model.<\/p>\n<\/ol>\n<p><h4>Unit 4<\/h4>\n<p><b>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 Syllabus App<\/a>.<\/b> It&#8217;s a lightweight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit 5<\/h4>\n<p><b>Olap\tAnd\tDecision\tSupport\tSystem<\/b><\/p>\n<ol>\n<li>Olap :<\/li>\n<p>Introduction &#8211; OLAP Server &#8211; MOLAP &#8211; ROLAP &#8211; Managed Query Environment ( MQE) &#8211; HOLAP &#8211; OLAP Product evaluation Rules \/ OLAP Guidelines \/ Features of OLAP &#8211; Web-based OLAP &#8211; Comparison between OLTP and OLAP.<\/p>\n<li>Decision Support System :<\/li>\n<p>Introduction &#8211; Decision Support and OLAL -Designing DSS &#8211; Characteristics of DSSS &#8211; DSSS Benefits &#8211; Comparisons of TRS, IRS and DSS characteristics &#8211; Customer relationship Management<\/p>\n<\/ol>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>Data Mining and Data Warehousing\tBharat Bhushan Agarwal and Sumit Prakash Tayal\tUniversity Science Press, New Delhi\tFirst Edition 2009<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE Comp Networking, M scheme do visit <a href=\"..\/category\/computer-networking-diploma+5th-sem\">Comp Networking 5th Sem syllabus for M scheme<\/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 Syllabus App<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Mining and Data Warehousing detail TNDTE Diploma syllabus for Computer Networking (CN), M scheme is extracted from TNDTE official website and presented for diploma students. The course code (35352), [&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":[48,98],"tags":[],"class_list":["post-22758","post","type-post","status-publish","format-standard","hentry","category-5th-sem","category-computer-networking-diploma"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/22758","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=22758"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/22758\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=22758"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=22758"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=22758"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}