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Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied...Savoir plus
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
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
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
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
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...Savoir plus
Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for desc...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
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
Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and servic...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
This second edition includes updated material on geographic knowledge discovery, geographic data warehouse research, map cubes, spatial dependency, sp...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
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms...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
Because the analysis of copious amounts of data and the preparation of custom reports often take away time from true research, the automation of these...Savoir plus
This new edition includes some key topics relating to the latest version of MS Office, including use of the ribbon, current Excel file types, Dashboar...Savoir plus
This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Pytho...Savoir plus
As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown ...Savoir plus