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- 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...
- 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 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...
- 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$ 179.00
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$ 305.00
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...
- IOS Press 2006; US$ 85.00
With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This work looks into the different uses of Data Mining, covering the subject of Multi-Relational Data Mining (MRDM), the approach to Structured Data Mining. more...
- Wiley 2006; US$ 151.00
DIANE J. COOK , PhD, is the Huie-Rogers Chair Professor in the School of Electrical Engineering and Computer Science at Washington State University. Her extensive research in artificial intelligence and data mining has been supported by grants from the National Science Foundation, NASA, DARPA, and Texas Instruments. Dr. Cook is the coauthor of Smart... more...
- Pearson Education 2006; US$ 51.99
The MCSE 70-293 Exam Prep is the most accurate, comprehensive, and up-to-date study guide if you are preparing for one of the four core exams required of this popular Microsoft certification. Updated for R2 versions of the product and the exam, this book serves as both a learning and practice tool. Organized according to the exam objectives, which... more...
- Elsevier Science 2010; US$ 86.95
Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find little ?how to” information? And are you, like... more...