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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
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied...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
This class-tested textbook is designed for a semester-long graduate, or senior undergraduate course on Computational Health Informatics. Integrating a...Lees meer
The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the Field Giving a broad perspective of the field from num...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
Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive informa...Lees meer
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable gu...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
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
Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better busines...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
Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an exte...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
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
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms...Lees meer
Exploring existing and emerging work in the field, this volume shows how specification mining techniques can help find software bugs and improve progr...Lees meer
Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better busines...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 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
This new edition covers some of the key topics relating to the latest version of MS Office through Excel 2019, including the creation of custom ribbon...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
Covering research at the frontier of this field, this volume presents state-of-the-art privacy-preserving data mining techniques for application domai...Lees meer