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Data Mining Techniques
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Kurzbeschreibung
* Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems
* Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support
* The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining
* More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining
* Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis
* Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support
* The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining
* More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining
* Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis
Synopsis
Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis
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Einleitungssatz
Somerville, Massachusetts, home to one of the authors of this book, is also home to a woman from Cameroon who braids hair. Lesen Sie die erste Seite
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
Somerville, Massachusetts, home to one of the authors of this book, is also home to a woman from Cameroon who braids hair. Lesen Sie die erste Seite
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Kundenrezensionen
Die hilfreichsten Kundenrezensionen
Format:Taschenbuch
This book is chock full of the syntactic ambiguities which make relatively simple concepts, such as MBR, difficult to explore.
e.g. "That is, 80 percent of the codes assigned by MBR were correct, but the cost was that 28 percent of the codes assigned were incorrect."
Luckily, there's a picture explaining the mess.
The ideas are here, but Berry and Linoff need to hire a real writer. I guess, smart folks like these guys have a tough time communicating with the common man?
- Merv
Format:Taschenbuch
This book labors to explain that Data Mining is possible. It spends 3 chapters explaining the business process flow of data mining as: 1. Figure out your business problem 2. data mine to figure out what to do 3. do it 4. measure to see if you did anything.
It's nicely written, but VERY BASIC
Format:Taschenbuch
It covers almost every aspect of data mining. It is clear, precise, goes to the point, and sometimes goes into some depth. If you are a marketing person, it will give you a very refined idea of what can be done with data mining, and what does it involves for your company ( remember the first thing you need is DATA!!). If you are an academic person, you will get a general idea of the different kinds of data analysis. You won't see any formulae or algorithms, after reading this book look for details somewhere else.
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An excellent conceptual description of an important topic.
When I started data mining (over 25 years ago)after graduating from MIT, neither the name nor the techniques existed. Lesen Sie weiter...
Veröffentlicht am 28. August 1999 von Stuart A. Lichtman
Excellent!!!
Forget the negative review of the guy from Tempe: if you're not interested in the math, you can make do with the descriptions and if you know enough math the descriptions are... Lesen Sie weiter...
Am 31. März 1999 veröffentlicht
Not mathematical enough.
Very disappointing, if you're looking for a mathematically oriented book. In fact it avoids math like the plague. Lesen Sie weiter...
Am 25. Februar 1999 veröffentlicht
Excellent business-oriented introduction
Data Mining Techniques, For Marketing, Sales, and Customer Support strikes a good balance: business parts never get technical and technical parts are always to the point. Lesen Sie weiter...
Am 19. Juni 1998 veröffentlicht
Technically accurate and enjoyable to read
The authors discuss data mining for marketing in a business context. Their descriptions of the techniques are clear and accurate, and the case studies provide excellent models. Lesen Sie weiter...
Veröffentlicht am 22. Januar 1998 von Ross Quinlan (quinlan@rulequest.com)
Good Introduction book, not limited to Marketing
The authors explain in a detailed way the most popular Data Mining techniques. The topics about Neuronal Networks, Decision Trees, Market-Basket Analysis and Memory-Based Reasoning... Lesen Sie weiter...
Veröffentlicht am 9. Dezember 1997 von crozas@adv.es
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