LEADER 03623nam 2200661 450 001 9910828095403321 005 20230125183102.0 010 $a1-63157-121-4 035 $a(CKB)3710000000329621 035 $a(EBL)1911815 035 $a(OCoLC)900878630 035 $a(CaBNVSL)swl00404634 035 $a(Au-PeEL)EBL1911815 035 $a(CaPaEBR)ebr11007926 035 $a(CaONFJC)MIL688591 035 $a(CaSebORM)9781631571206 035 $a(MiAaPQ)EBC1911815 035 $a(EXLCZ)993710000000329621 100 $a20150126d2015 fy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBusiness intelligence and data mining /$fAnil K. Maheshwari 205 $aFirst edition. 210 1$aNew York, New York (222 East 46th Street, New York, NY 10017) :$cBusiness Expert Press,$d2015. 215 $a1 online resource (180 p.) 225 1 $aBig data and business analytics collection,$x2333-6757 300 $aDescription based upon print version of record. 311 $a1-63157-120-6 320 $aIncludes bibliographical references (pages 157-158) and index. 327 $a1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index. 330 3 $aBusiness is the act of doing something productive to serve someone's needs, and thus earn a living, and make the world a better place. Business activities are recorded on paper or using electronic media, and then these records become data. There is more data from customers' responses and on the industry as a whole. All this data can be analyzed and mined using special tools and techniques to generate patterns and intelligence, which reflect how the business is functioning. These ideas can then be fed back into the business so that it can evolve to become more effective and efficient in serving customer needs. And the cycle continues on. Business intelligence includes tools and techniques for data gathering, analysis, and visualization for helping with executive decision making in any industry. Data mining includes statistical and machine-learning techniques to build decision-making models from raw data. Data mining techniques covered in this book include decision trees, regression, artificial neural networks, cluster analysis, and many more. Text mining, web mining, and big data are also covered in an easy way. A primer on data modeling is included for those uninitiated in this topic. 410 0$aBig data and business analytics collection.$x2333-6757 606 $aBusiness information services 606 $aData mining 606 $aBusiness intelligence 610 $aData Analytics 610 $aData Mining 610 $aBusiness Intelligence 610 $aDecision Trees 610 $aRegression 610 $aNeural Networks 610 $aCluster analysis 610 $aAssociation rules 615 0$aBusiness information services. 615 0$aData mining. 615 0$aBusiness intelligence. 676 $a658.4038 700 $aMaheshwari$b Anil$f1949-,$01658032 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828095403321 996 $aBusiness intelligence and data mining$94011806 997 $aUNINA