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Handbook of Statistical Analysis and Data Mining Applications (Englisch) Gebundene Ausgabe – 10. Juli 2009

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Produktbeschreibungen

Pressestimmen

Data mining practitioners, here is your bible, the complete "driver's manual" for data mining. From starting the engine to handling the curves, this book covers the gamut of data mining techniques - including predictive analytics and text mining - illustrating how to achieve maximal value across business, scientific, engineering and medical applications. What are the best practices through each phase of a data mining project? How can you avoid the most treacherous pitfalls? The answers are in here.
Going beyond its responsibility as a reference book, this resource also provides detailed tutorials with step-by-step instructions to drive established data mining software tools across real world applications. This way, newcomers start their engines immediately and experience hands-on success.
If you want to roll-up your sleeves and execute on predictive analytics, this is your definite, go-to resource. To put it lightly, if this book isn't on your shelf, you're not a data miner.
- Eric Siegel, Ph.D., President, Prediction Impact, Inc. and Founding Chair, Predictive Analytics World

"Great introduction to the real-world process of data mining. The overviews, practical advise, tutorials, and extra CD material make this book an invaluable resource for both new and experienced data miners."
- Karl Rexer, PhD (President & Founder of Rexer Analytics, Boston, Massachusetts)

If you want to roll-up your sleeves and execute on predictive analytics, this is your definite, go-to resource. To put it lightly, if this book isn't on your shelf, you're not a data miner.
- Eric Siegel, Ph.D., President, Prediction Impact, Inc. and Founding Chair, Predictive Analytics World

Great introduction to the real-world process of data mining. The overviews, practical advise, tutorials, and extra CD material make this book an invaluable resource for both new and experienced data miners.
- Karl Rexer, PhD (President & Founder of Rexer Analytics, Boston, Massachusetts)

If you want to roll-up your sleeves and execute on predictive analytics, this is your definite, go-to resource. To put it lightly, if this book isn't on your shelf, you're not a data miner.
- Eric Siegel, Ph.D., President, Prediction Impact, Inc. and Founding Chair, Predictive Analytics World"

Synopsis

"The Handbook of Statistical Analysis and Data Mining Applications" is a comprehensive professional reference book for scientists, engineers and researchers that brings together in a single resource all the information a beginner will need to rapidly learn how to conduct data mining and the statistical analysis required to interpret the data once mined.One complete resource containing everything needed to successfully conduct data mining analysis, this work offers: a historical perspective and background providing insight as to why/how data mining grew out of statistics, the scientific method and modern machine learning/artificial intelligence; brief descriptions of the numerous new algorithms that make up the AI/Machine; learning part of the data mining arsenal, so the user new to data mining can rapidly absorb the ideas behind each method; extensive case studies, most in a tutorial format, allowing the reader to 'click through' the example, using a software program, thus learning to conduct data mining analyses in the most rapid manner of learning possible; and, philosophical perspective and insight into what to expect in the future.

Numerous examples, tutorials, powerpoints and datasets are available via the companion website. A glossary of data mining terms is provided in the appendix. This work includes a four page color insert.

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Format: Gebundene Ausgabe
Hatte mir diesen dicken Schmöker im Zuge meiner Diplomarbeit gekauft, da ich meinen Untersuchungsgegenstand sowohl quantitativ als auch qualitativ bearbeiten musste und mehrere Herangehensweisen notwendig waren. Wurde nicht enttäuscht.
Wer mit statistischen Analysen aller Art, Data- u Textmining viel zu tun hat, für den ist das Werk eine Pflichtlektüre. Besonders gut ist, dass es zu jedem Kapitel Fallbeispiele inkl. Berechungen u Anleitungen zur Vorgehensweise mit entspr. Software (SPSS, Statistica, MaxQDA, SAS...) gibt. Wer also auf der Suche nach der richtigen Approach ist, wird sicher in einer der Fallstudien fündig (mit DVD insges. sicher an die 100). Das Buch kommt eben mit DVD, die vollgepackt ist mit noch mehr Fallstudien inkl. Problemstellung u. Researchdesign. Auch enthält sie eine Testversion von Statistica (4 Monate gültig) u Code zur Elsevier-Seite, die noch mehr case studies beherbergt... daher klare Kaufempfehlung!
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 3.9 von 5 Sternen 39 Rezensionen
74 von 80 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Adequate, but not spectacular; definitely for practitioners 3. Juni 2010
Von James - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
This book is for practitioners, not for those seeking a deeper understanding of data mining. It both makes and delivers on that claim. All major data mining topics are covered, though in a necessarily shallow manner in keeping with the book's goal of getting past the theory and moving to the practice.

Oddly, the very start of the book does have a bit of theory in the form of the historical roots of statistics and the limitations of statistics that leads to the need for data mining; I found this bit of history quite fascinating and enlightening; it is something I've found in few other data mining books, and I've read several.

The trouble is, I do like theory a bit. I have a master's in computer science, so I'm a bit biased that way, thus my relatively low scoring of the work.

About 1/3rd of the book is dedicated to working through real problems, and that is the overwhelming strength of the book. If you are one who learns by doing rather than by theorizing, you'll find this book outstanding.

The biggest criticism I have of the book is that it is clear that there are significant parts where the authors just didn't have their hearts in it; it felt like they wrote certain sections because the publisher told them they had to in order to hit some type of target marketing segment.

It's also unfortunate that all three software products provided expire in 90 days or less. I'm never one to accomplish anything in 90 days, let alone get through a 700-page technical work!!! I know they are the 3 top mining tools, but I much prefer RapidMiner, a product that is amazingly feature-rich, so easy to use it is actually fun, supported by a robust open-source model, and free.

Overall, a solid work. But to me, theory matters, that's one star down; and rigorous, enthusiastic writing matters, so that's two stars down. In the 3-stars that remain is lots of hands-on practice if you don't mind expiring software, and for that it is very strong.
34 von 36 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen The top data mining text on the market 19. Juni 2009
Von Joseph Hilbe - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
The "Handbook of Statistical Analysis & Data Mining Applications" is the finest book I have seen on the subject. It is not only a beautifully crafted book, with numerous color graphs, chart, tables, and screen shots, but the statistical discussion is both clear and comprehensive.

The text does not use only one statistical data mining application to display examples, but provides a rather thorough training in the use of both SAS-Enterprise Miner and STATISTICA Data Miner. A section on SPSS Clementine is also provided, giving comparisons between the various packages. Also employed are STATISTICA's C&RT, CHAID, MARSpline, and other data mining and graphical analytic tools.

The text does not burden the typical data mining researcher with the internals of how the various tools work. It is therefore not steeped in equations. Some are to be found, of course, but the emphasis is on understanding the concepts involved and on how to apply these concepts to real data - which is provided to the reader in terms of data tutorials. Specialized datasets have been prepared by both authors and outside experts in various areas of inquiry ranging from entertainment, financial, engineering, clinical psychology, dentistry, demographics, medical informatics, meteorology, astronomy, and more. Each tutorial is associated with data stored on either the associated CD that comes with the book, or which can be downloaded from a companion web site. Worked out examples of how to use data mining techniques on such data is provided to help the reader gain a solid feel for the data mining enterprise. The final third of the book is devoted to a partial selection of the available tutorials. The two earlier chapters demonstrate how to use data mining software for the analysis of data.

I highly recommend this work to anyone having an interest in data mining. I might also add that the Amazon price of $72.37 is truly excellent for an 864 page academic text, having full color tables and screen shots on some one-third of the pages, plus a CD. A bargain indeed.
14 von 16 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen I really liked this book 27. Juni 2009
Von Anonymous - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
I had experience with many of the statistical tools that fall under the heading of data mining. There are good books on GAMs and so on. What I like about this book is that it embeds those methods in a broader context, that of the philosophy and structure of data mining writ large, especially as the methods are used in the corporate world. To me, it was really helpful in thinking like a data miner, especially as it involves the mix of science and art.

I also had no experience with Statistica Data Miner but have been very impressed with the program relative to those that are less well documented (WEKA) and too darned expensive (SAS EM)

The richness of the examples is so helpful.
21 von 26 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen Just a book to promote software packages 23. August 2010
Von Eric Tsai - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
I thought from its title that this book not only comes with real world applications but also introduces basic concepts and theory behind these data mining algorithms. I was not asking for in-depth explanation for these algorithms but at least, it has to be able to make us comfortable with these methods. However, after reading these algorithms covered in this book, I still have no idea how these algorithms work and what is the best way to approach different methods. Certainly a big dissapointment for me!
11 von 13 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Long Overdue 12. Juli 2009
Von Colleen McCue - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
Rarely do authors succeed in writing THE comprehensive guide to anything, particularly when the subject matter is as complex, multifaceted and rapidly changing as the field of data mining. The Handbook of Statistical Analysis & Data Mining Applications far exceeds that worthy goal. The text is well organized, thoughtfully written and intuitive. The authors' comfortable style and examples from their own experience make even the most opaque concepts understandable and accessible. By following the CRISP-DM model and incorporating screen shots from the leading data mining platforms, the authors have written an invaluable text that incorporates both industry best practices and best-in-breed technology. Moreover, the math and science behind the concepts and methods are accurate and well-referenced; something missing in the junk science that so frequently passes for "advanced analytics." In successfully integrating these features, the Handbook excels as both a comprehensive teaching text and easy reference that will be used frequently by students and professionals alike. The Handbook of Statistical Analysis & Data Mining Applications is long overdue and certain to become THE comprehensive guide and a classic in our field.
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