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.
Handbook of Data Mining and Knowledge Discovery
Handbook of Data Mining and Knowledge Discovery - 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 Handbook of Data Mining and Knowledge Discovery write by Jan M. Żytkow. This book was released on 2002. Handbook of Data Mining and Knowledge Discovery available in PDF, EPUB and Kindle. Data mining, or knowledge discovery in databases (KDD), is one of the fastest growing areas in computing application: it offers powerful tools to analyze the many large data bases used in business, science, and industry. Data mining technology searches large databases to extract information and patterns that can be translated into useful applications, such as classifying or predicting customer behavior. This book brings together fundamental knowledge on all aspects of data mining--concepts, theory, techniques, applications, and case studies. Designed for students and professionals in such fields as computing applications, information systems management and strategic research and management, the Handbook is a comprehensive guide to essential tools and technology, from neural networks to artificial intelligence. There is a strong emphasis on real-world case studies in such areas as banking, finance, marketing management, real estate, engineering, medicine, pharmacology, and the biosciences. A much needed resource on one of the fastest growing areas of computer applications--the development and use of tools to analyze, interpret, and make use of the enormous amounts of information stored in the world's databases.
Magnetic Bubble Technology
Magnetic Bubble Technology - 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 Magnetic Bubble Technology write by A. H. Eschenfelder. This book was released on 2012-12-06. Magnetic Bubble Technology available in PDF, EPUB and Kindle. Magnetic bubbles are of interest to engineers because their properties can be used for important practical electronic devices and they are of interest to physicists because their properties are manifestations of intriguing physical principles. At the same time, the fabrication of useful configurations challenges the materials scientists and engineers. A technology of magnetic bubbles has developed to the point where commercial products are being marketed. In addition, new discovery and development are driving this technology toward substantially lower costs and presumably broader application. For all of these reasons there is a need to educate newcomers to this field in universities and in industry. The purpose of this book is to provide a text for a one-semester course that can be taught under headings of Solid State Physics, Materials Science, Computer Technology or Integrated Electronics. It is expected that the student of anyone of these disciplines will be interested in each of the chapters of this book to some degree, but may concentrate on some more than others, depending on the discipline. At the end of each chapter there is a brief summary which will serve as a reminder of the contents of the chapter but can also be read ahead of time to determine the depth of your interest in the chapter.
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 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 from Data Streams
Knowledge Discovery from Data Streams - 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 from Data Streams write by Joao Gama. This book was released on 2010-05-25. Knowledge Discovery from Data Streams available in PDF, EPUB and Kindle. Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents
