The Leading eBooks Store Online
for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, Sony Reader...
New to eBooks.com?Learn more
- Bestsellers - This Week
- Foreign Language Study
- Bestsellers - Last 6 months
- Graphic Books
- Health & Fitness
- Political Science
- Biography & Autobiography
- Psychology & Psychiatry
- Body Mind & Spirit
- House & Home
- Business & Economics
- Children's & Young Adult Fiction
- Juvenile Nonfiction
- Language Arts & Disciplines
- Crafts & Hobbies
- Science Fiction
- Current Events
- Literary Collections
- Literary Criticism
- Literary Fiction
- Social Science
- The Environment
- Sports & Recreation
- Family & Relationships
- Study Aids
- Folklore & Mythology
- Food and Wine
- Performing Arts
- True Crime
- Foreign Language Books
Most popular at the top
- Taylor and Francis 2003; US$ 164.95
Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information from such large data sets calls for novel approaches... more...
- Wiley 2004; US$ 139.00
Tech Mining makes exploitation of text databases meaningful to those who can gain from derived knowledge about emerging technologies. It begins with the premise that we have the information, the tools to exploit it, and the need for the resulting knowledge. The information provided puts new capabilities at the hands of technology managers. Using the... more...
- World Scientific Publishing Company 2004; US$ 168.00
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation,... more...
- Elsevier Science 2005; US$ 74.95
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical... more...
- Taylor and Francis 2004; US$ 119.95
Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies,... more...
- Wiley 2005; US$ 50.00
Your in-depth guide to using the new Microsoft data mining standard to solve today's business problems Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to use. Serving as your expert guide, this book shows... more...
- World Scientific Publishing Company 2005; US$ 216.00
This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. more...
- Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 169.00
Finding information hidden in data is as theoretically difficult as it is practically important. This book focuses on three main data mining tasks: data dimensionality reduction, classification, and rule extraction. It is targeted at researchers in both academia and industry, and also at graduate students and developers of data mining systems. more...
- Elsevier Science 2005; US$ 290.00
This book focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files.... more...