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Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. ...Savoir plus
Focusing on data mining mechanics and applications, this book explores the most common matrix decompositions, including singular value, semidiscrete, ...Savoir plus
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biol...Savoir plus
This class-tested textbook is designed for a semester-long graduate, or senior undergraduate course on Computational Health Informatics. Integrating a...Savoir plus
Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use o...Savoir plus
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and ...Savoir plus
Giving a broad perspective of the field from numerous vantage points, Text Mining focuses on statistical methods for text mining and analysis. It exam...Savoir plus
A gentle introduction for those new to the area, this book presents state-of-the-art information sharing and data integration methods that take into a...Savoir plus
Assuming no prior knowledge of mathematics or data mining, this self-contained book presents a "do-it-yourself" approach to extracting interesting pat...Savoir plus
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing fe...Savoir plus
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable gu...Savoir plus
This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. The author first c...Savoir plus
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefo...Savoir plus
Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and servic...Savoir plus
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-rel...Savoir plus
Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as patt...Savoir plus
This second edition includes updated material on geographic knowledge discovery, geographic data warehouse research, map cubes, spatial dependency, sp...Savoir plus
If you want to learn how to analyze your data with R, this is your book. A broad range of real-world case studies highlights the breadth and depth of ...Savoir plus
Enabling a sound understanding of SVMs, this book gives readers the tools to solve real-world problems using SVMs. It presents an accessible treatment...Savoir plus
Most of the research aimed at counterterrorism, fraud detection, or other forensic applications assumes that this is a specialized application domain ...Savoir plus
Using object-oriented design and programming techniques in C++, this book explores the commonalities of all data clustering algorithms to create a fle...Savoir plus
Unstructured Mining Approaches to Solve Complex Scientific Problems As the volume of scientific data and literature increases exponentially, scientist...Savoir plus
Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and servic...Savoir plus
Exploring existing and emerging work in the field, this volume shows how specification mining techniques can help find software bugs and improve progr...Savoir plus