- Taschenbuch: 162 Seiten
- Verlag: Packt Publishing (25. November 2013)
- Sprache: Englisch
- ISBN-10: 1782169334
- ISBN-13: 978-1782169338
- Größe und/oder Gewicht: 19 x 0,9 x 23,5 cm
- Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
- Amazon Bestseller-Rang: Nr. 368.260 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
Exploring Data with RapidMiner (Englisch) Taschenbuch – 25. November 2013
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Über den Autor und weitere Mitwirkende
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 datathe 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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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 The examples are outdated because the book uses the version 5 when right now we are using version 7.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.
look for something more professionally written
don't waste your money