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Synopsis
Who will remain a loyal customer and who won't? What kind of marketing approach is most likely to increase sales? What can customer buying patterns tell us about improving our inventory control? What type of credit approval process will work best for us and our customers? The answers to these and all your crucial business questions lie buried in your company's information systems. This book supplies you with powerful tools for mining them. Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible. Here's your chance to learn all about: How leading companies across North America are using data mining to beat the competition How each tool works, and how to pick the right one for the job Seven powerful techniques -cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets How to prepare data sources for data mining, and how to evaluate and use the results you get Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems.
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À propos de l?auteur
MICHAEL J. A. BERRY and GORDON LINOFF are principals at MRJ Technology Solutions, a Pennsylvania-based firm specializing in data warehousing and data mining for business applications. They also conduct seminars on data mining for Fortune 100 companies.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Data Mining Techniques: For Marketing, Sales, and Customer Support
Edité par
Wiley, 1997
ISBN 10 : 0471179809
ISBN 13 : 9780471179801
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Data Mining Techniques: For Marketing, Sales, and Customer Support
Edité par
Wiley, 1997
ISBN 10 : 0471179809
ISBN 13 : 9780471179801
Ancien ou d'occasion
Couverture souple
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
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Data Mining Techniques: For Marketing, Sales, and Customer Support
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Data Mining Techniques: For Marketing, Sales, and Customer Support
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Data Mining Techniques : For Marketing, Sales, and Customer Support
Edité par
Wiley & Sons, Incorporated, John, 1997
ISBN 10 : 0471179809
ISBN 13 : 9780471179801
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Data Mining Techniques: For Marketing, Sales, and Customer Support
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Wiley, 1997
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ISBN 13 : 9780471179801
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Data Mining Techniques
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Paperback. Etat : Good. No Jacket. Who will remain a loyal customer and who won't? What kind of marketing approach is most likely to increase sales? What can customer buying patterns tell us about improving our inventory control? What type of credit approval process will work best for us and our customers? The answers to these and all your crucial business questions lie buried in your company's information systems. This book supplies you with powerful tools for mining them. Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible. Here's your chance to learn all about: * How leading companies across North America are using data mining to beat the competition * How each tool works, and how to pick the right one for the job * Seven powerful techniques -cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets * How to prepare data sources for data mining, and how to evaluate and use the results you get Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems. Please note the image in this listing is a stock photo and may not match the covers of the actual item. Book. N° de réf. du vendeur 123738253
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