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Chapman & Hall/CRC Data Mining and Knowledge Discovery Series


About the 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.

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Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner

Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner

1st Edition

By Dothang Truong
February 23, 2024

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this ...

Knowledge Guided Machine Learning Accelerating Discovery using Scientific Knowledge and Data

Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data

1st Edition

Edited By Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar
August 15, 2022

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of ...

Automated Data Analysis Using Excel

Automated Data Analysis Using Excel

2nd Edition

By Brian D. Bissett
August 19, 2020

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 ribbons by injecting XML code into Excel Workbooks and how to link Excel VBA macros to customize ribbon objects.  It now also provides examples in using ...

Advanced Data Science and Analytics with Python

Advanced Data Science and Analytics with Python

1st Edition

By Jesus 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

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

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

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

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 ...

Industrial Applications of Machine Learning

Industrial Applications of Machine Learning

1st Edition

By Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana, Concha Bielza
December 10, 2018

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces ...

Data Clustering Algorithms and Applications

Data Clustering: Algorithms and Applications

1st Edition

Edited By Charu C. Aggarwal, Chandan K. Reddy
August 21, 2013

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, ...

Human Capital Systems, Analytics, and Data Mining

Human Capital Systems, Analytics, and Data Mining

1st Edition

By Robert C. Hughes
August 22, 2018

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 ...

Spectral Feature Selection for Data Mining

Spectral Feature Selection for Data Mining

1st Edition

By Zheng Alan Zhao, Huan Liu
April 18, 2018

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified ...

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