Data Mining: A Knowledge Discovery Approach

Krzysztof J. Cios

ISBN 10: 1441941207 / ISBN 13: 9781441941206

Editore: Springer New York, 2010

Leichte Kratzer / Abnutzungen / Druckstellen. "If you torture the data long enough, Nature will confess," stated Nobel-winning economist Ronald Coase. This remains true, yet achieving this goal is challenging. The phrase "long enough" can often translate to "too long" in many applications, making it impractical. To extract insights from large data sets, one must employ advanced "torturing" tools, and Nature is often reluctant to reveal its secrets. Despite these challenges, readers will discover several effective data mining tools within this insightful book. It addresses a wide range of issues related to data mining methodologies, techniques, and algorithms. The content begins with data understanding and preprocessing, progresses through supervised and unsupervised learning methods, and concludes with model assessment and considerations of data security and privacy. This comprehensive approach to the knowledge discovery process distinguishes the book, making it an essential resource among data mining literature. In today's world, virtually every aspect of human activity is influenced by the necessity and desire to collect data, leading to significant implications for how we understand and utilize this information. Codice articolo 8b3d9452-66a7-4713-ae6b-feb8f6d0cadb

Riassunto:

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which projects should be performed, from data understanding and preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes Data Mining from other texts in this area. The book provides a suite of exercises and includes links to instructional presentations. Furthermore, it contains appendices covering relevant mathematical material.

The authors' experience and expertise ensure that this text will be an authoritative instructional tool. Researchers, practitioners and students are certain to consider this text an indispensable resource in successfully accomplishing the goals of their data mining projects.

Dalla quarta di copertina:

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.

Based upon the authors previous successful book on data mining and knowledge discovery, this new volume has been extensively expanded, making it an effective instructional tool for advanced-level undergraduate and graduate courses. This book offers:

• A suite of exercises at the end of every chapter, designed to enhance the reader s understanding of the theory and proficiency with the tools presented

• Links to all-inclusive instructional presentations for each chapter to ensure easy use in classroom teaching

• Extensive appendices covering relevant mathematical material for convenient look-up

• Methods for addressing issues related to data privacy and security within the context of data mining, enabling the reader to balance potentially conflicting aims

• Summaries and bibliographical notes for each chapter, providing a broader perspective of the concepts and methods described

Researchers, practitioners and students are certain to consider this volume an indispensable resource in successfully accomplishing the goals of their data mining projects.

 

 

Dati bibliografici

Titolo: Data Mining: A Knowledge Discovery Approach
Casa editrice: Springer New York
Data di pubblicazione: 2010
Legatura: Softcover
Condizione: As New