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Exploring Data with RapidMiner
 
 

Exploring Data with RapidMiner [Kindle Edition]

Andrew Chisholm

Kindle-Preis: EUR 13,69 Inkl. MwSt. und kostenloser drahtloser Lieferung über Amazon Whispernet

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Taschenbuch EUR 33,16  

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Produktbeschreibungen

Kurzbeschreibung

In Detail

Data is everywhere and the amount is increasing so much that the gap between what people can understand and what is available is widening relentlessly. There is a huge value in data, but much of this value lies untapped. 80% of data mining is about understanding data, exploring it, cleaning it, and structuring it so that it can be mined. RapidMiner is an environment for machine learning, data mining, text mining, predictive analytics, and business analytics. It is used for research, education, training, rapid prototyping, application development, and industrial applications.

Exploring Data with RapidMiner is packed with practical examples to help practitioners get to grips with their own data. The chapters within this book are arranged within an overall framework and can additionally be consulted on an ad-hoc basis. It provides simple to intermediate examples showing modeling, visualization, and more using RapidMiner.

Exploring Data with RapidMiner is a helpful guide that presents the important steps in a logical order. This book starts with importing data and then lead you through cleaning, handling missing values, visualizing, and extracting additional information, as well as understanding the time constraints that real data places on getting a result. The book uses
real examples to help you understand how to set up processes, quickly.

This book will give you a solid understanding of the possibilities that RapidMiner gives for exploring data and you will be inspired to use it for your own work.

Approach

A step-by-step tutorial style using examples so that users of different levels will benefit from the facilities offered by RapidMiner.

Who this book is for

If you are a computer scientist or an engineer who has real data from which you want to extract value, this book is ideal for you. You will need to have at least a basic awareness of data mining techniques and some exposure to RapidMiner.

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


Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 15189 KB
  • Seitenzahl der Print-Ausgabe: 162 Seiten
  • Verlag: Packt Publishing (25. November 2013)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B00GX67U0I
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Amazon Bestseller-Rang: #245.179 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

  •  Ist der Verkauf dieses Produkts für Sie nicht akzeptabel?

Kundenrezensionen

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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com: 3.0 von 5 Sternen  3 Rezensionen
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.
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.
0 von 3 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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