Advances in Knowledge Discovery and Data Mining

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Author :
Release : 1996
Genre : Computers
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Book Rating : /5 ( reviews)

Advances in Knowledge Discovery and Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Knowledge Discovery and Data Mining write by Usama M. Fayyad. This book was released on 1996. Advances in Knowledge Discovery and Data Mining available in PDF, EPUB and Kindle. Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.

Data Mining and Knowledge Discovery Handbook

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Release : 2006-05-28
Genre : Computers
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Book Rating : 65X/5 ( reviews)

Data Mining and Knowledge Discovery Handbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining and Knowledge Discovery Handbook write by Oded Maimon. This book was released on 2006-05-28. Data Mining and Knowledge Discovery Handbook available in PDF, EPUB and Kindle. Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Knowledge Discovery and Data Mining

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Release : 2000-12-31
Genre : Computers
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Book Rating : 478/5 ( reviews)

Knowledge Discovery and Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Discovery and Data Mining write by O. Maimon. This book was released on 2000-12-31. Knowledge Discovery and Data Mining available in PDF, EPUB and Kindle. This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

Data Mining

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Release : 2007-10-05
Genre : Computers
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Book Rating : 950/5 ( reviews)

Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining write by Krzysztof J. Cios. This book was released on 2007-10-05. Data Mining available in PDF, EPUB and Kindle. This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining projects should be performed, from problem and data understanding through data 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 of relevant mathematical material.

Knowledge Discovery and Data Mining: Challenges and Realities

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Release : 2007-04-30
Genre : Computers
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Book Rating : 541/5 ( reviews)

Knowledge Discovery and Data Mining: Challenges and Realities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Discovery and Data Mining: Challenges and Realities write by Zhu, Xingquan. This book was released on 2007-04-30. Knowledge Discovery and Data Mining: Challenges and Realities available in PDF, EPUB and Kindle. "This book provides a focal point for research and real-world data mining practitioners that advance knowledge discovery from low-quality data; it presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying low-quality data. Contributions also focus on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing"--Provided by publisher.