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Most popular at the top
- Wiley 2012; US$ 119.00
Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different... more...
- Wiley 2015; US$ 110.00
This book provides a comprehensive description of activity learning with techniques, details on existing algorithms, and case studies of technique applications to sensor datasets. Each chapter is constructed to provide practical, step by step information on how to analyze and process sensor data. Discusses potential real-world complications and... more...
- Pearson Education 2014; US$ 49.99
Will "Big Data" supercharge the economy, tyrannize us, or both? Data Exhaust is the definitive primer for everyone who wants to understand all the implications of Big Data, digitally driven innovation, and the accelerating Internet Economy. Renowned digital expert Dale Neef clearly explains: What Big Data really is, and what's... more...
- Artech House 2005; US$ 88.00
Here?s the first focused book that puts the full range of cutting-edge biological text mining techniques and tools at your command. This comprehensive volume describes the methods of natural language processing (NLP) and their applications in the biological domain, and spells out in detail the various lexical, terminological, and ontological resources... more...
- Taylor and Francis 2007; US$ 115.95
The automated identification of biological objects or groups has been a dream among taxonomists and systematists for centuries. However, progress in designing and implementing practical systems for fully automated taxon identification has been frustratingly slow. Regardless, the dream has never died. Recent developments in computer architectures and... more...
- Springer 2008; US$ 179.00
Assembles the research achievements from various areas of signal processing and related disciplines to consolidate the existing and proposed directions in DSP-based knowledge extraction and information fusion. The text includes contributions presenting both novel algorithms and existing applications. more...
- Springer 2009; US$ 139.00
Modern terrorist networks pose an unprecedented threat to international security. This book includes computational research that addresses critical issues for countering terrorism. It describes research on discovering relevant information buried in vast amounts of unstructured data. more...
- O'Reilly Media 2009; US$ 35.99
In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data , you will: Explore the... more...
- O'Reilly Media 2010; US$ 35.99
Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization,... more...
- Taylor and Francis 2009; US$ 115.95
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplinary... more...