| 000 | 03924nam a2200637 i 4500 | ||
|---|---|---|---|
| 001 | EBC1911815 | ||
| 003 | MiAaPQ | ||
| 006 | m o d | | ||
| 007 | cr cnu|||||||| | ||
| 008 | 150126s2015 nyu foab 001 0 eng d | ||
| 020 |
_a9781631571213 _qe-book |
||
| 020 |
_z9781631571206 _qpaperback |
||
| 035 | _a(OCoLC)900878630 | ||
| 035 | _a(CaBNVSL)swl00404634 | ||
| 035 | _a(MiAaPQ)EBC1911815 | ||
| 035 | _a(Au-PeEL)EBL1911815 | ||
| 035 | _a(CaPaEBR)ebr11007926 | ||
| 035 | _a(CaONFJC)MIL688591 | ||
| 035 | _a(OCoLC)900878630 | ||
| 040 |
_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ |
||
| 050 | 4 |
_aHF54.5 _b.M243 2015 |
|
| 082 | 0 |
_a658.4038 _223 |
|
| 100 | 1 |
_aMaheshwari, Anil, _d1949-, _eauthor. |
|
| 245 | 1 | 0 |
_aBusiness intelligence and data mining / _cAnil K. Maheshwari. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aNew York, New York (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c2015. |
|
| 300 | _a1 online resource (xiv, 162 pages) | ||
| 336 |
_atext _2rdacontent |
||
| 337 |
_acomputer _2rdamedia |
||
| 338 |
_aonline resource _2rdacarrier |
||
| 490 | 1 |
_aBig data and business analytics collection, _x2333-6757 |
|
| 504 | _aIncludes bibliographical references (pages 157-158) and index. | ||
| 505 | 0 | _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. | |
| 506 | _aAccess restricted to authorized users and institutions. | ||
| 520 | 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. | |
| 588 | _aTitle from PDF title page (viewed on January 26, 2015). | ||
| 590 | _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | _aBusiness information services. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aBusiness intelligence. | |
| 653 | _aData Analytics | ||
| 653 | _aData Mining | ||
| 653 | _aBusiness Intelligence | ||
| 653 | _aDecision Trees | ||
| 653 | _aRegression | ||
| 653 | _aNeural Networks | ||
| 653 | _aCluster analysis | ||
| 653 | _aAssociation rules | ||
| 655 | 4 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _z9781631571206 |
| 797 | 2 | _aProQuest (Firm) | |
| 830 | 0 |
_aBig data and business analytics collection. _x2333-6757 |
|
| 856 | 4 | 0 |
_uhttps://ebookcentral.proquest.com/lib/bcsl-ebooks/detail.action?docID=1911815 _zClick to View |
| 999 |
_c752546 _d752546 |
||