Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
About the Book Series
As the field of data mining and knowledge discovery continues to grow, the timely dissemination of emerging research has become increasingly important both in math and stats, as well as across a range of disciplines seeking to take advantage of the wealth of data made available through informatics. This series aims to capture new developments and applications in data mining and knowledge discovery, while summarizing the computational tools and techniques useful in data analysis. This series is being established to encourage the integration of mathematical, statistical, and computational methods and techniques through the publication of a broad range of textbooks, reference works, and handbooks. We are looking to include those single author and contributed works that will—
- Provide introductory and advanced instructional and reference material for students and professionals in the mathematical, statistical, and computational sciences
- Supply researchers with the latest discoveries and the resources they need to advance the field
- Offer assistance to those interdisciplinary researchers and practitioners seeking to make use of data mining technology without advanced mathematical backgrounds
The inclusion of concrete examples and applications is highly encouraged. The scope of the series includes, but is not limited to, titles in the areas of data mining and knowledge discovery methods and applications, modeling, algorithms, theory and foundations, data and knowledge visualization, data mining systems and tools, and privacy and security issues. We are willing to consider other relevant topics that might be proposed by potential contributors.
Feature Engineering for Machine Learning and Data Analytics
1st Edition
Edited
By Guozhu Dong, Huan Liu
June 30, 2020
Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the ...
Graph-Based Social Media Analysis
1st Edition
Edited
By Ioannis Pitas
June 30, 2020
Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of...
Healthcare Data Analytics
1st Edition
Edited
By Chandan K. Reddy, Charu C. Aggarwal
June 30, 2020
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear ...
Human Capital Systems, Analytics, and Data Mining
1st Edition
By Robert C. Hughes
June 30, 2020
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining. The main purpose of this book is to provide a rich tool set of methods and tutorials for ...
Large-Scale Machine Learning in the Earth Sciences
1st Edition
Edited
By Ashok N. Srivastava, Ramakrishna Nemani, Karsten Steinhaeuser
June 30, 2020
From the Foreword:"While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by AshokSrivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an ...
Social Networks with Rich Edge Semantics
1st Edition
By Quan Zheng, David Skillicorn
June 30, 2020
Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and ...
Text Mining and Visualization: Case Studies Using Open-Source Tools
1st Edition
Edited
By Markus Hofmann, Andrew Chisholm
June 30, 2020
This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, ...
Advanced Data Science and Analytics with Python
1st Edition
By Jesús Rogel-Salazar
May 05, 2020
Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with ...
Introduction to Computational Health Informatics
1st Edition
By Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam
January 14, 2020
This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and ...
Multimedia Data Mining: A Systematic Introduction to Concepts and Theory
1st Edition
By Zhongfei Zhang, Ruofei Zhang
October 18, 2019
Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications. Two of the most active researchers in multimedia data mining explore how this young area has rapidly developed ...
Knowledge Discovery for Counterterrorism and Law Enforcement
1st Edition
By David Skillicorn
September 19, 2019
Most of the research aimed at counterterrorism, fraud detection, or other forensic applications assumes that this is a specialized application domain for mainstream knowledge discovery. Unfortunately, knowledge discovery changes completely when the datasets being used have been manipulated in order...
Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques
1st Edition
Edited
By Francesco Bonchi, Elena Ferrari
September 05, 2019
Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and ...