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Data mining --- Economic aspects.

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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 getData Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems.

Artificial intelligence. Robotics. Simulation. Graphics --- Information systems --- Data mining --- Opzoeken van gegevens (Informatica) --- Recherche de données (Informatique) --- Marketing --- Business --- data processing --- Data processing --- 658.8 --- 658.3*H 28 --- -Data mining --- -AA / International- internationaal --- 301 --- Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Industrial management --- Aftermarkets --- Selling --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Trade --- Economics --- Management --- Commerce --- Marketing. Sales. Selling. Distribution --- Personnel. Human factor. Human relations (Staff relations. Personal or interpersonal relations). Working atmosphere--?*H--Christelijke kerken, secten. Kristelijke kerken--(algemeen) --- Techniek van statistische inlichtingen. Organisatie van de statistische enquêtes. Statistische kritiek. --- Data mining. --- Data processing. --- 658.3*H 28 Personnel. Human factor. Human relations (Staff relations. Personal or interpersonal relations). Working atmosphere--?*H--Christelijke kerken, secten. Kristelijke kerken--(algemeen) --- 658.8 Marketing. Sales. Selling. Distribution --- AA / International- internationaal --- Electronic data processing --- Techniek van statistische inlichtingen. Organisatie van de statistische enquêtes. Statistische kritiek --- Marketing - data processing --- Business - Data processing --- Information dans l'entreprise

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The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990's, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised—is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more Provides best practices for performing data mining using simple tools such as Excel Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.

Data mining --- Marketing --- Business --- data processing --- Data processing --- Exploration de données --- Gestion --- Informatique --- Information Technology --- General and Others --- Exploration de données. --- Informatique. --- Data mining. --- Data processing. --- Marketing - data processing --- Business - Data processing

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