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Exploring Data with RapidMiner (Englisch) Taschenbuch – 25. November 2013

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Produktinformation

Produktbeschreibungen

Über den Autor und weitere Mitwirkende

Andrew Chisholm

Andrew Chisholm completed his degree in Physics from Oxford University nearly thirty years ago. This coincided with the growth in software engineering and it led him to a career in the IT industry. For the last decade he has been very involved in mobile telecommunications, where he is currently a product manager for a market-leading test and monitoring solution used by many mobile operators worldwide.

Throughout his career, he has always maintained an active interest in all aspects of data. In particular, he has always enjoyed finding ways to extract value from data and presenting this in compelling ways to help others meet their objectives. Recently, he completed a Master's in Data Mining and Business Intelligence with first class honors. He is a certified RapidMiner expert and has been using this product to solve real problems for several years. He maintains a blog where he shares some miscellaneous helpful advice on how to get the best out of RapidMiner.

He approaches problems from a practical perspective and has a great deal of relevant hands-on experience with real data. This book draws this experience together in the context of exploring data—the first and most important step in a data mining process.

He has published conference papers relating to unsupervised clustering and cluster validity measures and contributed a chapter called Visualizing cluster validity measures to an upcoming book entitled RapidMiner: Use Cases and Business Analytics Applications, Chapman & Hall/CRC


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Amazon.com: 2.8 von 5 Sternen 5 Rezensionen
1.0 von 5 Sternen Lazy manual 29. Juni 2016
Von Julio Andres Arriaga Rangel - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
I am very very very pissed off with this book. The author makes unforgivable unprofessional arrogant lazy mistakes.

All of the process examples are given in xml format and the author doesn't even bother to explain how to load the examples in the miner in xml (I had to investigate in forums). The examples are outdated because the book uses the version 5 when right now we are using version 7. I suppose that in order for the code to work you should change the version and directory in the xml files but as I am not sure if that is going to work and there too many files -and my time is valuable- I lost interest in it and I felt lazy changing just as the author felt lazy with his own work.

I feel cheated and as if I just had been slapped in the face.

If you are interested in Data Mining do not bother with this book.
3 von 3 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Visualization - The final frontier in data mining made easy for Rapidminer!!! 27. Januar 2014
Von Mehul Shah - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This is a very unique book that delves into the often overlooked facets of data visualization amidst all the clamor driven by techniques and algorithms. This neat little book hand holds the reader for a gentle plunge into the depths of knowledge discovery that can be revealed only by visualizations on the data mined. This is a must have book for all data scientists who use Rapidminer and are interested in coming up to speed fast on the powerful visualization features of Rapidminer.
0 von 1 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen A Rapidminer user manual for beginners 18. Juli 2014
Von Sandro Saitta - Veröffentlicht auf Amazon.com
Format: Taschenbuch
I recently received a short introduction to data exploration for RapidMiner, “Exploring Data with RapidMiner” by Andrew Chisholm. This short book is a tutorial for data exploration using the RapidMiner interface. It’s more of a user manual than a book on data exploration. In each chapter, a quick (and general) introduction precede RapidMiner steps and screenshots. The target audience is beginner level. To be noted the interesting chapter about outliers. I would advise this book if you start with both data exploration and RapidMiner.
4.0 von 5 Sternen Four Stars 1. November 2015
Von Amazon Customer - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
very helpful
0 von 6 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen extremely s*** book 25. Februar 2014
Von gg - Veröffentlicht auf Amazon.com
Format: Taschenbuch
extremely s*** book written by far from professional in book writing or RapidMiner
look for something more professionally written
don't waste your money
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