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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
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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
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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
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
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
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support ...Savoir plus
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Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the ...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
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
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
Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art pr...Savoir plus
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and ...Savoir plus
A culmination of the authors' years of extensive research on the topic, this book provides a complete, self-contained introduction to advances in rela...Savoir plus