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Focusing on data mining mechanics and applications, this book explores the most common matrix decompositions, including singular value, semidiscrete, ...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
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied...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
Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use o...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
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
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
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
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
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
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support ...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
Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and servic...Savoir plus
An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economie...Savoir plus
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms...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
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and ...Savoir plus