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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. ...Lees meer
Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusse...Lees meer
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biol...Lees meer
This class-tested textbook is designed for a semester-long graduate, or senior undergraduate course on Computational Health Informatics. Integrating a...Lees meer
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and ...Lees meer
Giving a broad perspective of the field from numerous vantage points, Text Mining focuses on statistical methods for text mining and analysis. It exam...Lees meer
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...Lees meer
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing fe...Lees meer
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...Lees meer
Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extract...Lees meer
This book is designed both as a text for graduate level courses in human resource systems, human capital analytics, and data mining as well as a resou...Lees meer
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...Lees meer
This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. The author first c...Lees meer
Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and servic...Lees meer
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-rel...Lees meer
Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as patt...Lees meer
Enabling a sound understanding of SVMs, this book gives readers the tools to solve real-world problems using SVMs. It presents an accessible treatment...Lees meer
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 ...Lees meer
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since the publication of the first edition ...Lees meer
Most of the research aimed at counterterrorism, fraud detection, or other forensic applications assumes that this is a specialized application domain ...Lees meer
Using object-oriented design and programming techniques in C++, this book explores the commonalities of all data clustering algorithms to create a fle...Lees meer
Unstructured Mining Approaches to Solve Complex Scientific Problems As the volume of scientific data and literature increases exponentially, scientist...Lees meer
Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and servic...Lees meer
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms...Lees meer