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Soft Computing for Knowledge Discovery and Data Mining

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It;

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Pattern Recognition Algorithms for Data Mining

computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery;

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Pattern Recognition Algorithms for Data Mining

computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery;

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Soft Computing for Data Mining Applications

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an;

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Pattern Recognition And Big Data

describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the;

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Multimedia Data Mining

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;

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Multimedia Data Mining

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;

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Soft Computing for Knowledge Discovery

other information. Soft Computing for Knowledge Discovery is for advanced undergraduates, professionals and researchers in computer science;

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Trends and Applications in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining (PAKDD) held in Tainan, Taiwan, in May 2014. The 73 revised papers presented were carefully reviewed and;

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Recent Advances on Soft Computing and Data Mining

extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines;

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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Advances in Artificial Intelligence IBERAMIA 2016

systems; planning and scheduling; natural language processing; machine learning; big data, knowledge discovery and data mining; computer vision;

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Data Science and Security

learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and;

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Intelligent Computing Theories

, knowledge discovery and data mining, evolutionary learning and genetic algorithms machine learning theory and methods, natural language processing;

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Intelligent Computing Theories and Methodologies

swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning;

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Intelligent Computing Theories and Methodologies

swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery;

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Intelligent Computing Theories and Application

signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing;

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Intelligent Computing Theories and Application

signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing;

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Intelligent Computing Methodologies

signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing;

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Applied Soft Computing

, fusion-based learning, intelligent healthcare systems, bioinformatics, data mining, functional approximation, genetic and evolutionary algorithms;

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AI 2008: Advances in Artificial Intelligence

, planning, grammar and language processing, statistical learning, machine learning, data mining, knowledge discovery, soft computing, vision and;

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Advances in Machine Learning and Computational Intelligence

; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.;

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Data Mining Methods for Knowledge Discovery

chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate;

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Knowledge Mining Using Intelligent Agents

techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge;

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Big Data Analytics and Knowledge Discovery

This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015;

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