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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
Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusse...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
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and ...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
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
This book provides a comprehensive introduction to the use of graph analysis in the study of social media and digital media. It covers the following t...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
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
Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extract...Savoir plus
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable gu...Savoir plus
With a focus on computing system management, this book presents a variety of event mining approaches for improving the quality and efficiency of IT se...Savoir plus
This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. The author first c...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
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support ...Savoir plus
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since the publication of the first edition ...Savoir plus
Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an exte...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
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms...Savoir plus