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Most popular at the top
- Taylor and Francis 2014; US$ 89.95
Featuring contributions from leading experts, this volume provides an up-to-date look at large-scale machine learning. It comprehensively covers the latest research and advances in regularization, sparsity, and compressed sensing; convex and large-scale optimization; and kernel methods and SVMs. more...
- O'Reilly Media 2010; US$ 31.99
What could you do with data if scalability wasn't a problem? With this hands-on guide, you'll learn how Apache Cassandra handles hundreds of terabytes of data while remaining highly available across multiple data centers -- capabilities that have attracted Facebook, Twitter, and other data-intensive companies. Cassandra: The Definitive Guide provides... more...
- O'Reilly Media 2013; US$ 33.99
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining... more...
- Taylor and Francis 2014; US$ 79.95
Along with updating all chapters and Python code examples, the second edition of this bestseller includes new chapters on Gaussian processes, Boltzmann machines, and deep belief networks. It also revises coverage of kernel methods and adds new material on random forests and model selection. The book retains its popular algorithmic approach as well... more...
- World Scientific Publishing Company 2003; US$ 211.00
This book provides the first comprehensive look at the emerging field of web document analysis. It sets the scene in this new field by combining state-of-the-art reviews of challenges and opportunities with research papers by leading researchers. Readers will find in-depth discussions on the many diverse and interdisciplinary areas within the field,... more...
- World Scientific Publishing Company 2005; US$ 354.00
This unique volume presents major developments and trends in bioinformatics and its applications. Comprising high-quality scientific research papers and state-of-the-art survey articles, the book has been divided into five main sections: Microarray Analysis and Regulatory Networks; Machine Learning and Statistical Analysis; Biomolecular Sequence and... more...
- World Scientific Publishing Company 2006; US$ 189.00
This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science. The cutting-edge topics presented include bio-surveillance, disease outbreak detection, high throughput bioimaging,... more...
- World Scientific Publishing Company 2008; US$ 346.00
The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as “enterprise data”. The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing... more...
- Taylor and Francis 2010; US$ 125.95
Handbook of Educational Data Mining (EDM) provides a thorough overview of the current state of knowledge in this area. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25 case studies that give a rich overview of the problems... more...