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Most popular at the top
- Wiley 2012; US$ 97.95
The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast... more...
- Diplomica Verlag 2011; US$ 50.07
Hauptbeschreibung In der heutigen Zeit, in der der Umgang mit Informationsressourcen den Alltag bestimmt, ist es wichtig, dass es Systeme gibt, die gewährleisten, dass für den Nutzer relevante Informationen gesucht und auf die wichtigsten Fakten reduziert werden. Ein Großteil der gespeicherten Informationen, welche extrahiert werden sollen, sind... more...
- 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...
- 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...
- 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...
- 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...