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Case-Based Reasoning on Images and Signals
  • Language: en
  • Pages: 436

Case-Based Reasoning on Images and Signals

  • Type: Book
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  • Published: 2008-04-12
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  • Publisher: Springer

This is the first edited book that deals with the special topic of signals and images within Case-Based Reasoning (CBR). Signal-interpreting systems are becoming increasingly popular in medical, industrial, ecological, biotechnological and many other applications. Existing statistical and knowledge-based techniques lack robustness, accuracy and flexibility. New strategies are needed that can adapt to changing environmental conditions, signal variation, user needs and process requirements. Introducing CBR strategies into signal-interpreting systems can satisfy these requirements.

Advances in Data Science
  • Language: en
  • Pages: 374

Advances in Data Science

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Re...

Supervised and Unsupervised Ensemble Methods and their Applications
  • Language: en
  • Pages: 182

Supervised and Unsupervised Ensemble Methods and their Applications

  • Type: Book
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  • Published: 2008-04-20
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  • Publisher: Springer

This book results from the workshop on Supervised and Unsupervised Ensemble Methods and their Applications (briefly, SUEMA) in June 2007 in Girona, Spain. This workshop was held alongside the 3rd Iberian Conference on Pattern Recognition and Image Analysis.

Machine Learning: ECML 2006
  • Language: en
  • Pages: 873

Machine Learning: ECML 2006

This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers present a wealth of new results in the area and address all current issues in machine learning.

Applications of Supervised and Unsupervised Ensemble Methods
  • Language: en
  • Pages: 268

Applications of Supervised and Unsupervised Ensemble Methods

  • Type: Book
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  • Published: 2009-10-15
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  • Publisher: Springer

Expanding upon presentations at last year’s SUEMA (Supervised and Unsupervised Ensemble Methods and Applications) meeting, this volume explores recent developments in the field. Useful examples act as a guide for practitioners in computational intelligence.

Proceedings of the Fourth SIAM International Conference on Data Mining
  • Language: en
  • Pages: 556

Proceedings of the Fourth SIAM International Conference on Data Mining

  • Type: Book
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  • Published: 2004-01-01
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  • Publisher: SIAM

The Fourth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. This is reflected in the talks by the four keynote speakers who discuss data usability issues in systems for data mining in science and engineering, issues raised by new technologies that generate biological data, ways to find complex structured patterns in linked data, and advances in Bayesian inference techniques. This proceedings includes 61 research papers.

Encyclopedia of Data Warehousing and Mining, Second Edition
  • Language: en
  • Pages: 2542

Encyclopedia of Data Warehousing and Mining, Second Edition

  • Type: Book
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  • Published: 2008-08-31
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  • Publisher: IGI Global

There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

Survey of Text Mining II
  • Language: en
  • Pages: 243

Survey of Text Mining II

This Second Edition brings readers thoroughly up to date with the emerging field of text mining, the application of techniques of machine learning in conjunction with natural language processing, information extraction, and algebraic/mathematical approaches to computational information retrieval. The book explores a broad range of issues, ranging from the development of new learning approaches to the parallelization of existing algorithms. Authors highlight open research questions in document categorization, clustering, and trend detection. In addition, the book describes new application problems in areas such as email surveillance and anomaly detection.

Neural Nets WIRN VIETRI-96
  • Language: en
  • Pages: 344

Neural Nets WIRN VIETRI-96

This volume contains selected papers from WIRN VIETRI-96, the 8th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 23-25 May 1996. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluable contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-96 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.

Innovations in Big Data Mining and Embedded Knowledge
  • Language: en
  • Pages: 276

Innovations in Big Data Mining and Embedded Knowledge

  • Type: Book
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  • Published: 2019-07-03
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  • Publisher: Springer

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified ...