Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration - 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 Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration write by Earl Cox. This book was released on 2005-02. Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration available in PDF, EPUB and Kindle. Foundations and ideas -- Principal model types -- Approaches to model building -- Fundamental concepts of fuzzy logic -- Fundamental concepts of fuzzy systems -- Fuzzy SQL and intelligent queries -- Fuzzy clustering -- Fuzzy rule induction -- Fundamental concepts of genetic algorithms -- Genetic resource scheduling optimization -- Genetic tuning of fuzzy models.
Data Mining
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 Mehmed Kantardzic. This book was released on 2019-11-12. Data Mining available in PDF, EPUB and Kindle. Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on the topic—explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: • Explores big data and cloud computing • Examines deep learning • Includes information on convolutional neural networks (CNN) • Offers reinforcement learning • Contains semi-supervised learning and S3VM • Reviews model evaluation for unbalanced data Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration - 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 Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration write by Earl Cox. This book was released on 2005-02-24. Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration available in PDF, EPUB and Kindle. Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems. You don't need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system. - Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective data mining systems - Helps you to understand the trade-offs implicit in various models and model architectures - Provides extensive coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction - Lays out a roadmap for exploring data, selecting model system measures, organizing adaptive feedback loops, selecting a model configuration, implementing a working model, and validating the final model - In an extended example, applies evolutionary programming techniques to solve a complicated scheduling problem - Presents examples in C, C++, Java, and easy-to-understand pseudo-code - Extensive online component, including sample code and a complete data mining workbench
Data Mining: Know It All
Data Mining: Know It All - 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: Know It All write by Soumen Chakrabarti. This book was released on 2008-10-31. Data Mining: Know It All available in PDF, EPUB and Kindle. This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. - Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. - Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions. - Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.
Intelligence and Security Informatics
Intelligence and Security Informatics - 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 Intelligence and Security Informatics write by Hsinchun Chen. This book was released on 2010-06-03. Intelligence and Security Informatics available in PDF, EPUB and Kindle. This book constitutes the proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics 2010, held in Hyderabad, India, in June 2010.
