{"id":1021,"date":"2023-02-05T10:12:31","date_gmt":"2023-02-05T10:12:31","guid":{"rendered":"https:\/\/www.inspirenignite.com\/ts\/data-mining-syllabus-for-mca-1st-year-2nd-sem-r22-regulation-jntuh\/"},"modified":"2023-02-05T10:12:31","modified_gmt":"2023-02-05T10:12:31","slug":"data-mining-syllabus-for-mca-1st-year-2nd-sem-r22-regulation-jntuh","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/ts\/data-mining-syllabus-for-mca-1st-year-2nd-sem-r22-regulation-jntuh\/","title":{"rendered":"Data Mining syllabus for MCA 1st Year 2nd Sem R22 regulation JNTUH"},"content":{"rendered":"<p align=\"justify\">Data Mining detailed syllabus for Master of Computer Applications(MCA), R22 regulation has been taken from the <a href=\"https:\/\/jntuh.ac.in\/syllabus\/\" style=\"color: inherit\" rel=\"nofollow noopener\" target=\"_blank\">JNTUH<\/a> official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical\/Drawing, Credits, and other information do visit full semester subjects post given below. The syllabus PDF files can also be downloaded from the universities official website.<\/p>\n<p align=\"justify\">For all other MCA 1st Year 2nd Sem syllabus for R22 regulation JNTUH, do visit <a href=\"..\/mca-1st-year-2nd-sem-syllabus-for-r22-regulation-jntuh\">MCA 1st Year 2nd Sem syllabus for R22 regulation JNTUH <\/a>subjects. The detailed syllabus for data mining is as follows.  <\/p>\n<h4>Prerequisites:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Course Objectives:<\/h4>\n<ul>\n<li>Learn data mining concepts understand association rules mining.<\/li>\n<li>Discuss classification algorithms learn how data is grouped using clustering techniques.<\/li>\n<li>To develop the abilities of critical analysis to data mining systems and applications.<\/li>\n<li>To implement practical and theoretical understanding of the technologies for data mining.<\/li>\n<li>To understand the strengths and limitations of various data mining models.<\/li>\n<\/ul>\n<h4>Course Outcomes:<\/h4>\n<ul>\n<li>Ability to perform the preprocessing of data and apply mining techniques on it.<\/li>\n<li>Ability to identify the association rules, classification and clusters in large data sets.<\/li>\n<li>Ability to solve real world problems in business and scientific information using data mining.<\/li>\n<li>Ability to classify web pages, extracting knowledge from the web.<\/li>\n<\/ul>\n<h4>Unit -I<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Unit -II<\/h4>\n<p>  Association Rules: Problem Definition, Frequent Item Set Generation, The APRIORI Principle, Support and Confidence Measures, Association Rule Generation; APRIOIRI Algorithm, The Partition Algorithms, FP-Growth Algorithms, Compact Representation of Frequent Item Set- Maximal Frequent Item Set, Closed Frequent Item Set.<\/p>\n<h4>Unit -III<\/h4>\n<p>  Classification: Problem Definition, General Approaches to solving a classification problem, Evaluation of Classifiers, Classification techniques, Decision Trees-Decision tree Construction, Methods for Expressing attribute test conditions, Measures for Selecting the Best Split, Algorithm for Decision tree Induction; Naive-Bayes Classifier, Bayesian Belief Networks; K- Nearest neighbor classification-Algorithm and Characteristics.<\/p>\n<h4>Unit -IV<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Unit -V<\/h4>\n<p>  Web and Text Mining: Introduction, web mining, web content mining, web structure mining, we usage mining, Text mining -unstructured text, episode rule discovery for texts, hierarchy of categories, text clustering.<\/p>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Data Mining- Concepts and Techniques- Jiawei Han, Micheline Kamber, Morgan Kaufmann Publishers, Elsevier, Edition, 2006.<\/li>\n<li>Introduction to Data Mining, Pang-Ning Tan, Vipin Kumar, Michael Steinbanch, Pearson Education.<\/li>\n<li>Data mining Techniques and Applications, Hongbo Du Cengage India Publishing.<\/li>\n<\/ol>\n<h4>Reference Books:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.<\/p>\n<p align=\"justify\">For detail syllabus of all other subjects of Master of Computer Applications 1st Year, visit <a href=\"..\/category\/mca+1st-year\">MCA 1st Year syllabus<\/a> subjects.<\/p>\n<p align=\"justify\">For all MCA results, visit <a href=\"https:\/\/www.inspirenignite.com\/ts\/category\/results\/\">JNTUH MCA all years, and semester results <\/a>from direct links.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Mining detailed syllabus for Master of Computer Applications(MCA), R22 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For [&hellip;]<\/p>\n","protected":false},"author":2344,"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":[5,35],"tags":[],"class_list":["post-1021","post","type-post","status-publish","format-standard","hentry","category-1st-year","category-mca"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/posts\/1021","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/users\/2344"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/comments?post=1021"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/posts\/1021\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/media?parent=1021"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/categories?post=1021"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/tags?post=1021"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}