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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
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This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. The author first c...Lees meer
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefo...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
Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and servic...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
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support ...Lees meer
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 ...Lees meer
An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economie...Lees meer
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms...Lees meer
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...Lees meer
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...Lees meer
As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown ...Lees meer
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...Lees meer
Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art pr...Lees meer
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and ...Lees meer
A culmination of the authors' years of extensive research on the topic, this book provides a complete, self-contained introduction to advances in rela...Lees meer