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03583nam a2200433 a 4500 |
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20100714155928.0 |
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m e d |
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cr bn||||m|||a |
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100626s2004 paua fs 001 0 eng d |
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|z 2004003688
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|a 9781591402442 (PDF)
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|z 1591402433 (pbk.)
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|z 9781591402435 (pbk.)
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7 |
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|a 10.4018/978-1-59140-243-5
|2 doi
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|a (CaBNVSL)gtp00541791
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| 035 |
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|a (OCoLC)707615168
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|a CaBNVSL
|c CaBNVSL
|d CaBNVSL
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4 |
|a QA76.9.D343
|b M36 2004e
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| 082 |
0 |
4 |
|a 006.3/12
|2 22
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| 245 |
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|a Managing data mining
|b advice from experts /
|c Stephan Kudyba.
|h [electronic resource] :
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|a Hershey, Pa. :
|b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
|c c2004.
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| 300 |
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|a electronic texts (xiv, 238 p. : ill.) :
|b digital files.
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| 490 |
1 |
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|a IT solutions series
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| 500 |
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|a Includes index.
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|a 1. Introduction: data mining and the world of commerce: a background of data mining, business intelligence and business process management / Stephan Kudyba -- 2. Data mining and the banking sector: managing risk in lending and credit card activities / Àkos Felsóvályi, Jennifer Courant -- 3. Credit scoring and risk management for small business lending / Vernon Gerety -- 4. The utilization of business intelligence and data mining in the insurance marketplace / Jeffrey Hoffman -- 5. Sales force management in the consumer products industry / Navin Sharma -- 6. The healthcare cost dilemma: what health insurance companies can do to mitigate unsustainable premium increases / Russ Danstrom, Jeff Nicola -- 7. The application of data mining techniques in health plan population management: a disease management approach / Theodore L. Perry ... et al. -- 8. Toiling in the media data mines / Robert Young -- 9. Audience measurement applications for online advertising and e-commerce / David Martin -- 10. Taking a close look at the evolving utilities industry: factors that drive volatility and methods to help manage it / Nicholas Galletti -- About the editor -- About the authors -- Index.
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|a Restricted to subscribers or individual electronic text purchasers.
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|a In response to increasingly high customer demands and formidable competition, today's organizations have implemented new technologies that generate and collect massive volumes of data. However, a large majority of the data collected goes to waste or becomes obsolete. Inconsistency, repetition, time-sensitivity, disparate data sources and data overkill are just a few of the problems overwhelming many decision makers. Fortunately, the need for digestible and useful data has created a new generation of business intelligence technologies. This includes software that sifts through mountain ranges of data until the most useful nuggets of information are extracted and identified, much the same way that California prospectors of the 19th century refined their techniques to strike gold more quickly.
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|a Also available in print.
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| 538 |
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|a Mode of access: World Wide Web.
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| 588 |
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|a Title from PDF t.p. (viewed on June 26, 2010).
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| 650 |
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|a Data mining.
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| 700 |
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|a Kudyba, Stephan,
|d 1963-
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| 710 |
2 |
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|a IGI Global.
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| 776 |
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|c (Original)
|w (DLC) 2004003688
|z 9781591402435
|z 1591402433
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| 830 |
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|a IT solutions series.
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| 856 |
4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59140-243-5
|z View fulltext via EzAccess
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