{"id":29467,"date":"2021-08-29T14:40:43","date_gmt":"2021-08-29T14:40:43","guid":{"rendered":"https:\/\/www.inspirenignite.com\/jntuh\/cs702pc-data-mining-it-syllabus-for-btech-4th-year-1st-sem-r18-regulation-jntuh\/"},"modified":"2021-08-29T14:40:43","modified_gmt":"2021-08-29T14:40:43","slug":"cs702pc-data-mining-it-syllabus-for-btech-4th-year-1st-sem-r18-regulation-jntuh","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/cs702pc-data-mining-it-syllabus-for-btech-4th-year-1st-sem-r18-regulation-jntuh\/","title":{"rendered":"CS702PC: Data Mining IT Syllabus for B.Tech 4th Year 1st Sem R18 Regulation JNTUH"},"content":{"rendered":"<p align=\"justify\">Data Mining detailed syllabus for Information Technology (IT), R18 regulation has been taken from the <a class=\"rank-math-link\" href=\"https:\/\/jntuh.ac.in\/syllabus\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">JNTUHs<\/a> official website and presented for the students of B.Tech Information Technology branch affiliated to JNTUH course structure. For Course Code, Course Titles, 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 IT 4th Year 1st Sem Syllabus for B.Tech R18 Regulation JNTUH, do visit <a class=\"rank-math-link\" href=\"..\/it-4th-year-1st-sem-syllabus-for-btech-r18-regulation-jntuh\">IT 4th Year 1st Sem Syllabus for B.Tech R18 Regulation JNTUH <\/a>subjects. The detailed syllabus for data mining is as follows.  <\/p>\n<h4>Pre-Requisites:<\/h4>\n<ul>\n<li>A course on \u00ef\u00bf\u00bdDatabase Management Systems\u00ef\u00bf\u00bd<\/li>\n<li>Knowledge of probability and statistics<\/li>\n<\/ul>\n<h4>Course Objective:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">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 class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><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 Outcome:<\/h4>\n<ul>\n<li>Ability to understand the types of the data to be mined and present a general classification of tasks and primitives to integrate a data mining system.<\/li>\n<li>Apply preprocessing methods for any given raw data.<\/li>\n<li>Extract interesting patterns from large amounts of data.<\/li>\n<li>Discover the role played by data mining in various fields.<\/li>\n<li>Choose and employ suitable data mining algorithms to build analytical applications<\/li>\n<li>Evaluate the accuracy of supervised and unsupervised models and algorithms.<\/li>\n<\/ul>\n<h4>Unit &#8211; I<\/h4>\n<p>  Data Mining: Data-Types of Data-, Data Mining Functionalities- Interestingness Patterns-Classification of Data Mining systems- Data mining Task primitives -Integration of Data mining system with a Data warehouse-Major issues in Data Mining-Data Preprocessing.<\/p>\n<h4>Unit &#8211; II<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">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 class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><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 &#8211; III<\/h4>\n<p>  Classification: Classification and Prediction &#8211; Basic concepts-Decision tree induction-Bayesian classification, Rule-based classification, Lazy learner.<\/p>\n<h4>Unit &#8211; IV<\/h4>\n<p>  Clustering and Applications: Cluster analysis-Types of Data in Cluster Analysis-Categorization of Major Clustering Methods- Partitioning Methods, Hierarchical Methods- Density-Based Methods, Grid-Based Methods, Outlier Analysis.<\/p>\n<h4>Unit &#8211; V<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">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 class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><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>Text Books:<\/h4>\n<ol>\n<li>Data Mining &#8211; Concepts and Techniques &#8211; Jiawei Han and Micheline Kamber, 3rd Edition Elsevier.<\/li>\n<li>Data Mining Introductory and Advanced topics &#8211; Margaret H Dunham, PEA.<\/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 class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">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 class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><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 B.Tech 4th Year Information Technology, visit <a class=\"rank-math-link\" href=\"..\/category\/it+4th-year\">IT 4th Year syllabus<\/a> subjects.<\/p>\n<p align=\"justify\">For B.Tech IT branch results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-b-tech-results\/\">JNTUH B.Tech Information Technology all semester results<\/a> direct link.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Mining detailed syllabus for Information Technology (IT), R18 regulation has been taken from the JNTUHs official website and presented for the students of B.Tech Information Technology branch affiliated to [&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":[123,114],"tags":[],"class_list":["post-29467","post","type-post","status-publish","format-standard","hentry","category-4th-year","category-it"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/29467","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/users\/2344"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/comments?post=29467"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/29467\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=29467"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=29467"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=29467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}