{"product_id":"data-mining-data-warehousing-and-olap","title":"Data Mining, Data Warehousing and OLAP","description":"\u003cul data-start=\"60\" data-end=\"322\"\u003e\n\u003cli data-section-id=\"1mmjbgz\" data-start=\"60\" data-end=\"91\"\u003e\n\u003cstrong data-start=\"62\" data-end=\"72\"\u003eAuthor\u003c\/strong\u003e: Gajendra Sharma\u003c\/li\u003e\n\u003cli data-section-id=\"pw24na\" data-start=\"92\" data-end=\"130\"\u003e\n\u003cstrong data-start=\"94\" data-end=\"107\"\u003ePublisher\u003c\/strong\u003e: S.K. Kataria \u0026amp; Sons\u003c\/li\u003e\n\u003cli data-section-id=\"1srb5u6\" data-start=\"131\" data-end=\"157\"\u003e\n\u003cstrong data-start=\"133\" data-end=\"144\"\u003eBinding\u003c\/strong\u003e: Paperback\u003c\/li\u003e\n\u003cli data-section-id=\"v4wtc9\" data-start=\"158\" data-end=\"186\"\u003e\n\u003cstrong data-start=\"160\" data-end=\"179\"\u003eNumber of Pages\u003c\/strong\u003e: 375\u003c\/li\u003e\n\u003cli data-section-id=\"fx9396\" data-start=\"187\" data-end=\"223\"\u003e\n\u003cstrong data-start=\"189\" data-end=\"209\"\u003ePublication Date\u003c\/strong\u003e: 01-01-2013\u003c\/li\u003e\n\u003cli data-section-id=\"nemcrg\" data-start=\"224\" data-end=\"255\"\u003e\n\u003cstrong data-start=\"226\" data-end=\"237\"\u003eISBN-13\u003c\/strong\u003e: 9788189757472\u003c\/li\u003e\n\u003cli data-section-id=\"1x4b3cg\" data-start=\"256\" data-end=\"296\"\u003e\n\u003cstrong data-start=\"258\" data-end=\"272\"\u003eDimensions\u003c\/strong\u003e: 20.3 x 25.4 x 4.7 cm\u003c\/li\u003e\n\u003cli data-section-id=\"prugoi\" data-start=\"297\" data-end=\"322\"\u003e\n\u003cstrong data-start=\"299\" data-end=\"311\"\u003eLanguage\u003c\/strong\u003e: English\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"324\" data-end=\"348\"\u003e\u003cstrong data-start=\"324\" data-end=\"345\"\u003eTable of Contents\u003c\/strong\u003e:\u003c\/p\u003e\n\u003cul data-start=\"349\" data-end=\"1190\"\u003e\n\u003cli data-section-id=\"zqfj14\" data-start=\"349\" data-end=\"419\"\u003e\n\u003cstrong data-start=\"351\" data-end=\"374\"\u003eUnit-I: Data Mining\u003c\/strong\u003e\n\u003cul data-start=\"379\" data-end=\"419\"\u003e\n\u003cli data-section-id=\"1r7241f\" data-start=\"379\" data-end=\"398\"\u003eData Processing\u003c\/li\u003e\n\u003cli data-section-id=\"p83xc1\" data-start=\"401\" data-end=\"419\"\u003eData Reduction\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-section-id=\"usqun9\" data-start=\"421\" data-end=\"484\"\u003e\n\u003cstrong data-start=\"423\" data-end=\"458\"\u003eUnit-II: Data Mining Statistics\u003c\/strong\u003e\n\u003cul data-start=\"463\" data-end=\"484\"\u003e\n\u003cli data-section-id=\"mqipe4\" data-start=\"463\" data-end=\"484\"\u003eAssociation Rules\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-section-id=\"59sv6o\" data-start=\"486\" data-end=\"643\"\u003e\n\u003cstrong data-start=\"488\" data-end=\"516\"\u003eUnit-III: Classification\u003c\/strong\u003e\n\u003cul data-start=\"521\" data-end=\"643\"\u003e\n\u003cli data-section-id=\"12uyv8t\" data-start=\"521\" data-end=\"539\"\u003eDecision Trees\u003c\/li\u003e\n\u003cli data-section-id=\"wun02c\" data-start=\"542\" data-end=\"569\"\u003eBayesian Classification\u003c\/li\u003e\n\u003cli data-section-id=\"ag4igy\" data-start=\"572\" data-end=\"602\"\u003eArtificial Neural Networks\u003c\/li\u003e\n\u003cli data-section-id=\"rmrhyo\" data-start=\"605\" data-end=\"626\"\u003eGenetic Algorithm\u003c\/li\u003e\n\u003cli data-section-id=\"pyewqq\" data-start=\"629\" data-end=\"643\"\u003eClustering\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-section-id=\"60li8k\" data-start=\"645\" data-end=\"988\"\u003e\n\u003cstrong data-start=\"647\" data-end=\"692\"\u003eUnit-IV: Introduction to Data Warehousing\u003c\/strong\u003e\n\u003cul data-start=\"697\" data-end=\"988\"\u003e\n\u003cli data-section-id=\"3tk71u\" data-start=\"697\" data-end=\"742\"\u003eData Warehousing: Concepts and Mechanisms\u003c\/li\u003e\n\u003cli data-section-id=\"5yo2ay\" data-start=\"745\" data-end=\"774\"\u003eBuilding a Data Warehouse\u003c\/li\u003e\n\u003cli data-section-id=\"1iz031g\" data-start=\"777\" data-end=\"804\"\u003eClient Server Computing\u003c\/li\u003e\n\u003cli data-section-id=\"1exmcgg\" data-start=\"807\" data-end=\"846\"\u003eDistributed and Parallel Processing\u003c\/li\u003e\n\u003cli data-section-id=\"wyssrl\" data-start=\"849\" data-end=\"908\"\u003eMapping Data Warehouse to a Multiprocessor Architecture\u003c\/li\u003e\n\u003cli data-section-id=\"162o8sk\" data-start=\"911\" data-end=\"926\"\u003eAggregation\u003c\/li\u003e\n\u003cli data-section-id=\"1rud4ca\" data-start=\"929\" data-end=\"937\"\u003eOLAP\u003c\/li\u003e\n\u003cli data-section-id=\"1cli6uz\" data-start=\"940\" data-end=\"973\"\u003eBusiness Competitive Analysis\u003c\/li\u003e\n\u003cli data-section-id=\"ffkdge\" data-start=\"976\" data-end=\"988\"\u003eSecurity\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-section-id=\"kfryjb\" data-start=\"990\" data-end=\"1111\"\u003e\n\u003cstrong data-start=\"992\" data-end=\"1024\"\u003eUnit-V: Advanced Data Mining\u003c\/strong\u003e\n\u003cul data-start=\"1029\" data-end=\"1111\"\u003e\n\u003cli data-section-id=\"1twb8mq\" data-start=\"1029\" data-end=\"1043\"\u003eWeb Mining\u003c\/li\u003e\n\u003cli data-section-id=\"higa0m\" data-start=\"1046\" data-end=\"1072\"\u003eVisual Web Data Mining\u003c\/li\u003e\n\u003cli data-section-id=\"yfva6v\" data-start=\"1075\" data-end=\"1111\"\u003eTemporal and Spatial Data Mining\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-section-id=\"v139q2\" data-start=\"1113\" data-end=\"1131\"\u003e\u003cstrong data-start=\"1115\" data-end=\"1129\"\u003eAppendices\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-section-id=\"1sdpzzk\" data-start=\"1132\" data-end=\"1150\"\u003e\u003cstrong data-start=\"1134\" data-end=\"1148\"\u003eReferences\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-section-id=\"n0079x\" data-start=\"1151\" data-end=\"1176\"\u003e\u003cstrong data-start=\"1153\" data-end=\"1174\"\u003eExamination Paper\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-section-id=\"1lu2o9i\" data-start=\"1177\" data-end=\"1190\"\u003e\u003cstrong data-start=\"1179\" data-end=\"1188\"\u003eIndex\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1192\" data-end=\"1600\"\u003e\u003cstrong data-start=\"1192\" data-end=\"1207\"\u003eDescription\u003c\/strong\u003e:\u003cbr data-start=\"1208\" data-end=\"1211\"\u003e\u003cem data-start=\"1211\" data-end=\"1245\"\u003eData Mining and Data Warehousing\u003c\/em\u003e by Gajendra Sharma, published by S.K. Kataria \u0026amp; Sons, is a comprehensive 375-page guide focused on the intricate fields of data mining and data warehousing. With its clear structure and in-depth exploration, the book provides a thorough understanding of the various techniques and methodologies used in data processing, classification, and warehousing.\u003c\/p\u003e\n\u003cp data-start=\"1602\" data-end=\"1946\"\u003eThe book is divided into five main units, covering fundamental topics such as data mining statistics, classification algorithms, data warehousing concepts, and advanced topics like web mining and temporal\/spatial data mining. The content is designed for both students and professionals seeking to master these essential areas of data science.\u003c\/p\u003e","brand":"S.K. Kataria \u0026 Sons","offers":[{"title":"Default Title","offer_id":66727982760240,"sku":"DRG.SKKataria_9788189757472","price":556.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/91CqRUam2wL._SL1500.jpg?v=1778053478","url":"https:\/\/www.retailmaharaj.com\/products\/data-mining-data-warehousing-and-olap","provider":"Retail Maharaj","version":"1.0","type":"link"}