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Most popular at the top
- Taylor and Francis 2014; US$ 99.95
Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection , Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection,... more...
- O'Reilly Media 2014; US$ 25.99
If you?re looking for a short, sweet, and simple introduction (or reintroduction) to Hibernate, this is the book you want. Through clear real-world examples, you?ll learn Hibernate and object-relational mapping from the ground up, starting with the basics. Then you?ll dive into the framework?s moving parts to understand how they work in action. ... more...
- Wiley 2003; US$ 195.00
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficient pattern recognition techniques. Statistical decision... 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...
- WIT Press 2008; US$ 124.00
This books analyses the state of the art of applied research in a challenging field: natural language understanding of financial news. Currently, thanks to the world-wide technological spreading, stock market traders are overwhelmed with financial information, both numerical and textual, which has to be analysed quickly in order to react before market... 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...