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Book Knowledge Acquisition from Databases

Download or read book Knowledge Acquisition from Databases written by Xindong Wu and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Automated Knowledge Acquisition from Databases

Download or read book Automated Knowledge Acquisition from Databases written by Qing Yan and published by . This book was released on 1993 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Knowledge Acquisition from Databases

Download or read book Knowledge Acquisition from Databases written by Xindong Wu and published by Intellect Books. This book was released on 1995 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive English-Russian and Russian-English collection of modern statistical terminology, containing some 13,500 terms and some 1,000 names. Topics covered include mathematical statistics and probability theory, computational statistics and statistical software, and applied statistical components in economics, sociology, demography, medicine, natural sciences, and technology. The volume provides an extensive collection of terms in the fields of computer terminology related to problems of data processing and statistical software, theory of random processes, statistical quality control, operations research, and some supplementary areas such as the terminology of Russian official statistics. For translators and other experts who work with English and Russian statistical literature. Annotation copyright by Book News, Inc., Portland, OR

Book Advances in Database and Expert Systems

    Book Details:
  • Author : George E. Lasker
  • Publisher : Windsor, Ont. : International Institute for Advanced Studies in Systems Research and Cybernetics
  • Release : 1995
  • ISBN : 9780921836339
  • Pages : 120 pages

Download or read book Advances in Database and Expert Systems written by George E. Lasker and published by Windsor, Ont. : International Institute for Advanced Studies in Systems Research and Cybernetics. This book was released on 1995 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Knowledge Acquisition Method for Information Systems

Download or read book A Knowledge Acquisition Method for Information Systems written by Ahmad A. Barfoursh and published by . This book was released on 1989* with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advanced Methods for Knowledge Discovery from Complex Data

Download or read book Advanced Methods for Knowledge Discovery from Complex Data written by Ujjwal Maulik and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the following chapters.

Book Semi automated Knowledge Acquisition from Existing Textual Databases  microform

Download or read book Semi automated Knowledge Acquisition from Existing Textual Databases microform written by Joozar Khozem Vasi and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 1992 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Knowledge Discovery in Databases

Download or read book Knowledge Discovery in Databases written by Gregory Piatetsky-Shapiro and published by MIT Press. This book was released on 1991 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Discovery in Databases brings together current research on the exciting problem of discovering useful and interesting knowledge in databases. It spans many different approaches to discovery, including inductive learning, bayesian statistics, semantic query optimization, knowledge acquisition for expert systems, information theory, and fuzzy 1 sets.The rapid growth in the number and size of databases creates a need for tools and techniques for intelligent data understanding. Relationships and patterns in data may enable a manufacturer to discover the cause of a persistent disk failure or the reason for consumer complaints. But today's databases hide their secrets beneath a cover of overwhelming detail. The task of uncovering these secrets is called discovery in databases. This loosely defined subfield of machine learning is concerned with discovery from large amounts of possible uncertain data. Its techniques range from statistics to the use of domain knowledge to control search.Following an overview of knowledge discovery in databases, thirty technical chapters are grouped in seven parts which cover discovery of quantitative laws, discovery of qualitative laws, using knowledge in discovery, data summarization, domain specific discovery methods, integrated and multi-paradigm systems, and methodology and application issues. An important thread running through the collection is reliance on domain knowledge, starting with general methods and progressing to specialized methods where domain knowledge is built in. Gregory Piatetski-Shapiro is Senior Member of Technical Staff and Principal Investigator of the Knowledge Discovery Project at GTE Laboratories. William Frawley is Principal Member of Technical Staff at GTE and Principal Investigator of the Learning in Expert Domains Project.

Book Knowledge Acquisition from a Database with an OLAP Cube

Download or read book Knowledge Acquisition from a Database with an OLAP Cube written by Laurent Perez and published by . This book was released on 2001 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Knowledge Acquisition

Download or read book Advances in Knowledge Acquisition written by Nigel Shadbolt and published by Springer Science & Business Media. This book was released on 1996-04-26 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the 9th European Knowledge Acquisition Workshop, EKAW '96, held in Nottingham, UK, in May 1996. The 23 revised full papers included address the most relevant theoretical and applicational aspects of knowledge acquisition with a certain emphasis on the acquisition of knowledge for the modelling or automation of complex problem-solving behaviour. The volume is organized in sections on theoretical and general issues, eliciting knowledge from textual or other sources, data-mining, group elicitation, and planning.

Book Advances in Knowledge Acquisition and Management

Download or read book Advances in Knowledge Acquisition and Management written by Achim Hoffmann and published by Springer Science & Business Media. This book was released on 2006-12-14 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since knowledge was recognized as a crucial part of intelligent systems in the 1970s and early 1980s, the problem of the systematic and efficient acquisition of knowledge was an important research problem. In the early days of expert systems, the focus of knowledge acquisition was to design a suitable knowledge base for the problem - main by eliciting the knowledge from available experts before the system was c- pleted and deployed. Over the years, alternative approaches were developed, such as incremental approaches which would build a provisional knowledge base initially and would improve the knowledge base while the system was used in practice. Other approaches sought to build knowledge bases fully automatically by employing machine-learning methods. In recent years, a significant interest developed regarding the problem of constructing ontologies. Of particular interest have been ontologies that could be re-used in a number of ways and could possibly be shared across diff- ent users as well as domains. The Pacific Knowledge Acquisition Workshops (PKAW) have a long tradition in providing a forum for researchers to exchange the latest ideas on the topic. Parti- pants come from all over the world but with a focus on the Pacific Rim region. PKAW is one of three international knowledge acquisition workshop series held in the Pacific-Rim, Canada and Europe over the last two decades. The previous Pacific Knowledge Acquisition Workshop, PKAW 2004, had a strong emphasis on inc- mental knowledge acquisition, machine learning, neural networks and data mining.

Book Collaborative Knowledge Acquisition from Semantically Disparate  Distributed Data Sources

Download or read book Collaborative Knowledge Acquisition from Semantically Disparate Distributed Data Sources written by Vasant Honavar and published by Springer. This book was released on 2012-08-28 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to offer a cohesive treatment of the research problems in collaborative knowledge acquisition from semantically disparate information sources & approaches for addressing the problems. The book discusses the fundamental advances in this area covering a broad range & complexity of research issues. The approach taken incorporates a synergistic synthesis of insights, algorithms & results drawn from multiple areas including: • Artificial Intelligence – especially machine learning, data mining, knowledge representation & inference, intelligent agents & multi-agent systems; • Information Systems – especially databases, information integration, semantic web; & • Distributed computing & software engineering (e.g. service-oriented computing). Written for researchers & graduate students as well as advanced practitioners in data mining, semantic technologies, AI, Information integration, the semantic web, & information systems, this accessible self-contained survey will be a valuable reference tool.

Book Automated Knowledge Acquisition from a Prenatal Health Care Database

Download or read book Automated Knowledge Acquisition from a Prenatal Health Care Database written by Bryan James Aho and published by . This book was released on 1997 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Knowledge Discovery and Data Mining

Download or read book Advances in Knowledge Discovery and Data Mining written by Thanaruk Theeramunkong and published by Springer. This book was released on 2009-04-21 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Book Knowledge Acquisition  Approaches  Algorithms and Applications

Download or read book Knowledge Acquisition Approaches Algorithms and Applications written by Debbie Richards and published by Springer Science & Business Media. This book was released on 2009-05-25 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, held in Hanoi, Vietnam, in December 2008 as part of 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008. The 20 revised papers presented were carefully reviewed and selected from 57 submissions and went through two rounds of reviewing and improvement. The papers are organized in topical sections on machine learning and data mining, incremental knowledge acquisition, web-based techniques and applications, as well as domain specific knowledge acquisition methods and applications.