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Knowledge Discovery and Measures of Interest

Author : Robert J. Hilderman
Publisher : Springer Science & Business Media
ISBN 13 : 147573283X
Total Pages : 170 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Knowledge Discovery and Measures of Interest by : Robert J. Hilderman

Download or read book Knowledge Discovery and Measures of Interest written by Robert J. Hilderman and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Discovery and Measures of Interest is a reference book for knowledge discovery researchers, practitioners, and students. The knowledge discovery researcher will find that the material provides a theoretical foundation for measures of interest in data mining applications where diversity measures are used to rank summaries generated from databases. The knowledge discovery practitioner will find solid empirical evidence on which to base decisions regarding the choice of measures in data mining applications. The knowledge discovery student in a senior undergraduate or graduate course in databases and data mining will find the book is a good introduction to the concepts and techniques of measures of interest. In Knowledge Discovery and Measures of Interest, we study two closely related steps in any knowledge discovery system: the generation of discovered knowledge; and the interpretation and evaluation of discovered knowledge. In the generation step, we study data summarization, where a single dataset can be generalized in many different ways and to many different levels of granularity according to domain generalization graphs. In the interpretation and evaluation step, we study diversity measures as heuristics for ranking the interestingness of the summaries generated. The objective of this work is to introduce and evaluate a technique for ranking the interestingness of discovered patterns in data. It consists of four primary goals: To introduce domain generalization graphs for describing and guiding the generation of summaries from databases. To introduce and evaluate serial and parallel algorithms that traverse the domain generalization space described by the domain generalization graphs. To introduce and evaluate diversity measures as heuristic measures of interestingness for ranking summaries generated from databases. To develop the preliminary foundation for a theory of interestingness within the context of ranking summaries generated from databases. Knowledge Discovery and Measures of Interest is suitable as a secondary text in a graduate level course and as a reference for researchers and practitioners in industry.

Author :
Publisher : IOS Press
ISBN 13 :
Total Pages : 7289 pages
Book Rating : 4./5 ( download)

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Book Synopsis by :

Download or read book written by and published by IOS Press. This book was released on with total page 7289 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Methodologies for Knowledge Discovery and Data Mining

Author : Ning Zhong
Publisher : Springer
ISBN 13 : 3540489126
Total Pages : 566 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Methodologies for Knowledge Discovery and Data Mining by : Ning Zhong

Download or read book Methodologies for Knowledge Discovery and Data Mining written by Ning Zhong and published by Springer. This book was released on 2003-06-29 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.

Intelligent Databases

Author : Zongmin Ma
Publisher : IGI Global
ISBN 13 : 1599041200
Total Pages : 335 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Intelligent Databases by : Zongmin Ma

Download or read book Intelligent Databases written by Zongmin Ma and published by IGI Global. This book was released on 2007-01-01 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book integrates data management in databases with intelligent data processing and analysis in artificial intelligence. It challenges today's database technology and promotes its evolution"--Provided by publisher.

Logic Programming

Author : Jan Maluszynski
Publisher : MIT Press
ISBN 13 : 9780262631808
Total Pages : 454 pages
Book Rating : 4.6/5 (318 download)

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Book Synopsis Logic Programming by : Jan Maluszynski

Download or read book Logic Programming written by Jan Maluszynski and published by MIT Press. This book was released on 1997-10-10 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: The themes of the 1997 conference are new theoretical and practical accomplishments in logic programming, new research directions where ideas originating from logic programming can play a fundamental role, and relations between logic programming and other fields of computer science. The annual International Logic Programming Symposium, traditionally held in North America, is one of the main international conferences sponsored by the Association of Logic Programming. The themes of the 1997 conference are new theoretical and practical accomplishments in logic programming, new research directions where ideas originating from logic programming can play a fundamental role, and relations between logic programming and other fields of computer science. Topics include theoretical foundations, constraints, concurrency and parallelism, deductive databases, language design and implementation, nonmonotonic reasoning, and logic programming and the Internet.

Pattern Detection and Discovery

Author : David J Hand
Publisher : Springer
ISBN 13 : 3540457283
Total Pages : 239 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Pattern Detection and Discovery by : David J Hand

Download or read book Pattern Detection and Discovery written by David J Hand and published by Springer. This book was released on 2003-08-02 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: The collation of large electronic databases of scienti?c and commercial infor- tion has led to a dramatic growth of interest in methods for discovering struc- res in such databases. These methods often go under the general name of data mining. One important subdiscipline within data mining is concerned with the identi?cation and detection of anomalous, interesting, unusual, or valuable - cords or groups of records, which we call patterns. Familiar examples are the detection of fraud in credit-card transactions, of particular coincident purchases in supermarket transactions, of important nucleotide sequences in gene sequence analysis, and of characteristic traces in EEG records. Tools for the detection of such patterns have been developed within the data mining community, but also within other research communities, typically without an awareness that the - sic problem was common to many disciplines. This is not unreasonable: each of these disciplines has a large literature of its own, and a literature which is growing rapidly. Keeping up with any one of these is di?cult enough, let alone keeping up with others as well, which may in any case be couched in an - familiar technical language. But, of course, this means that opportunities are being lost, discoveries relating to the common problem made in one area are not transferred to the other area, and breakthroughs and problem solutions are being rediscovered, or not discovered for a long time, meaning that e?ort is being wasted and opportunities may be lost.

Database and Expert Systems Applications

Author : Heinrich C. Mayr
Publisher : Springer
ISBN 13 : 3540447598
Total Pages : 1010 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Database and Expert Systems Applications by : Heinrich C. Mayr

Download or read book Database and Expert Systems Applications written by Heinrich C. Mayr and published by Springer. This book was released on 2003-06-29 with total page 1010 pages. Available in PDF, EPUB and Kindle. Book excerpt: th DEXA 2001, the 12 International Conference on Database and Expert Systems Applications was held on September 3–5, 2001, at the Technical University of Munich, Germany. The rapidly growing spectrum of database applications has led to the establishment of more specialized discussion platforms (DaWaK conference, EC Web conference, and DEXA workshop), which were all held in parallel with the DEXA conference in Munich. In your hands are the results of much effort, beginning with the preparation of the submitted papers. The papers then passed through the reviewing process, and the accepted papers were revised to final versions by their authors and arranged with the conference program. All this culminated in the conference itself. A total of 175 papers were submitted to this conference, and I would like to thank all the authors. They are the real base of the conference. The program committee and the supporting reviewers produced altogether 497 referee reports, on average of 2.84 reports per paper, and selected 93 papers for presentation. Comparing the weight or more precisely the number of papers devoted to particular topics at several recent DEXA conferences, an increase can be recognized in the areas of XMS databases, active databases, and multi and hypermedia efforts. The space devoted to the more classical topics such as information retrieval, distribution and Web aspects, and transaction, indexing and query aspects has remained more or less unchanged. Some decrease is visible for object orientation.

Advances in Knowledge Discovery and Data Mining

Author : Kyu-Young Whang
Publisher : Springer
ISBN 13 : 3540361758
Total Pages : 629 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Kyu-Young Whang

Download or read book Advances in Knowledge Discovery and Data Mining written by Kyu-Young Whang and published by Springer. This book was released on 2003-08-03 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 7th Paci?c Asia Conference on Knowledge Discovery and Data Mining (PAKDD) was held from April 30 to May 2, 2003 in the Convention and Ex- bition Center (COEX), Seoul, Korea. The PAKDD conference is a major forum for academic researchers and industry practitioners in the Paci?c Asia region to share original research results and development experiences from di?erent KDD-related areas such as data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and discovery, data visualization, and knowledge-based systems. The conference was organized by the Advanced Information Technology Research Center (AITrc) at KAIST and the Statistical Research Center for Complex Systems (SRCCS) at Seoul National University. It was sponsored by the Korean Datamining Society (KDMS), the Korea Inf- mation Science Society (KISS), the United States Air Force O?ce of Scienti?c Research, the Asian O?ce of Aerospace Research & Development, and KAIST. It was held with cooperation from ACM’s Special Group on Knowledge Dis- very and Data Mining (SIGKDD).

Temporal, Spatial, and Spatio-Temporal Data Mining

Author : John F. Roddick
Publisher : Springer
ISBN 13 : 3540452443
Total Pages : 184 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Temporal, Spatial, and Spatio-Temporal Data Mining by : John F. Roddick

Download or read book Temporal, Spatial, and Spatio-Temporal Data Mining written by John F. Roddick and published by Springer. This book was released on 2003-06-29 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Prin- ples and Practice of Knowledge Discovery in Databases (PKDD 2000) in Lyons, France in September, 2000. The aim of the workshop was to bring together experts in the analysis of temporal and spatial data mining and knowledge discovery in temporal, spatial or spatio-temporal database systems as well as knowledge engineers and domain experts from allied disciplines. The workshop focused on research and practice of knowledge discovery from datasets containing explicit or implicit temporal, spatial or spatio-temporal information. The ten original papers in this volume represent those accepted by peer review following an international call for papers. All papers submitted were refereed by an international team of data mining researchers listed below. We would like to thank the team for their expert and useful help with this process. Following the workshop, authors were invited to amend their papers to enable the feedback received from the conference to be included in the ?nal papers appearing in this volume. A workshop report was compiled by Kathleen Hornsby which also discusses the panel session that was held.

AI*IA 2003: Advances in Artificial Intelligence

Author : Amedeo Cappelli
Publisher : Springer
ISBN 13 : 3540398538
Total Pages : 567 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis AI*IA 2003: Advances in Artificial Intelligence by : Amedeo Cappelli

Download or read book AI*IA 2003: Advances in Artificial Intelligence written by Amedeo Cappelli and published by Springer. This book was released on 2003-10-24 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th Congress of the Italian Association for Artificial Intelligence, AI*IA 2003, held in Pisa, Italy in September 2003. The 44 revised full papers presented were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on knowledge representation and reasoning, soft computing, machine learning, data mining, intelligent agents, planning, robotics, natural language processing, and applications in various fields.

Advances in Database Technology - EDBT 2000

Author : Carlo Zaniolo
Publisher : Springer Science & Business Media
ISBN 13 : 3540672273
Total Pages : 521 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Advances in Database Technology - EDBT 2000 by : Carlo Zaniolo

Download or read book Advances in Database Technology - EDBT 2000 written by Carlo Zaniolo and published by Springer Science & Business Media. This book was released on 2000-03-08 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: EDBT 2000 is the seventh conference in a series dedicated to the advancement of database technology. This year’s conference special theme, \Connect Millions of Users and Data Sources," underscores the importance of databases for the information age that is dawning with the new millennium. The importance - rives not just from the observation that the information age essentially rests on theconvergenceofcommunications,computing,andstorage.Equallyimportant, many of the concepts and techniques underlying the success of databasesystems have independent meaning and impact for today’s distributed information s- tems. The papers in the volume should also be seen in this light. The EDBT 2000 conference program includes 30 research papers selected by the program committee out of 187 submissions, covering advances in research, development, and applications of databases. The conference program also - cludes six industry andapplications papers,a panel discussion,six tutorials,and several software demonstrations. The conference features three distinguished - vited speakers: Ashish Gupta discusses database issues in electronic commerce, Stefano Ceri addresses the impact and challenges of XML on databases, and Andreas Reuter shares his views on new perspectives on database technology. The technical contributions presented at the EDBT 2000 conference are colle- ed and preserved in this volume that we are pleased to present to you with the expectation that it will serve as a valuable research and reference tool in your professional life.

Advances in Data Mining

Author : Petra Perner
Publisher : Springer
ISBN 13 : 3540461310
Total Pages : 115 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advances in Data Mining by : Petra Perner

Download or read book Advances in Data Mining written by Petra Perner and published by Springer. This book was released on 2003-08-02 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine, and knowledge management. The objective is to report on current results and at the same time to give a review on the present activities in this field in Germany. An effort has been made to include the latest scientific results, as well as lead the reader to the various fields of activity and the problems related to them. Knowledge discovery on the basis of web data is a wide and fast growing area. E commerce is the principal theme of motivation in this field, as companies invest large sums in the electronic market, in order to maximize their profits and minimize their risks. Other applications are telelearning, teleteaching, service support, and citizen information systems. Concerning these applications, there is a great need to understand and support the user by means of recommendation systems, adaptive information systems, as well as by personalization. In this respect Giudici and Blanc present in their paper procedures for the generation of associative models from the tracking behavior of the user. Perner and Fiss present in their paper a strategy for intelligent e marketing with web mining and personalization. Methods and procedures for the generation of associative rules are presented in the paper by Hipp, Güntzer, and Nakhaeidizadeh.

Knowledge Discovery and Data Mining

Author : Max A. Bramer
Publisher : IET
ISBN 13 : 9780852967676
Total Pages : 334 pages
Book Rating : 4.9/5 (676 download)

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Book Synopsis Knowledge Discovery and Data Mining by : Max A. Bramer

Download or read book Knowledge Discovery and Data Mining written by Max A. Bramer and published by IET. This book was released on 1999 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considers knowledge discovery, which has been defined as the extraction of implicit, previously unknown and potentially useful information from data. Early chapters examine technical issues of importance to the future development of the field, including overcoming feature interaction problems, analysis of outliers, rule discovery, and temporal processing. Later chapters describe applications in fields such as medical and health information, meteorology, organic chemistry, and the electric supply industry. The editor is a professor of information technology at the University of Portsmouth, UK. Material originated at a May 1998 colloquium. Annotation copyrighted by Book News, Inc., Portland, OR

Intelligent Technologies for Information Analysis

Author : Ning Zhong
Publisher : Springer Science & Business Media
ISBN 13 : 3662079526
Total Pages : 724 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Intelligent Technologies for Information Analysis by : Ning Zhong

Download or read book Intelligent Technologies for Information Analysis written by Ning Zhong and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.

Data Warehousing and Knowledge Discovery

Author : Yahiko Kambayashi
Publisher : Springer
ISBN 13 : 3540448012
Total Pages : 374 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Data Warehousing and Knowledge Discovery by : Yahiko Kambayashi

Download or read book Data Warehousing and Knowledge Discovery written by Yahiko Kambayashi and published by Springer. This book was released on 2003-06-30 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Warehousing and Knowledge Discovery technology is emerging as a key technology for enterprises that wish to improve their data analysis, decision support activities, and the automatic extraction of knowledge from data. The objective of the Third International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2001) was to bring together researchers and practitioners to discuss research issues and experience in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. The conference focused on the logical and physical design of data warehousing and knowledge discovery systems. The scope of the papers covered the most recent and relevant topics in the areas of association rules, mining temporal patterns, data mining techniques, collaborative filtering, Web mining, visualization, matchmaking, evelopment and maintenance of data warehouses, OLAP, and distributed data warehouses. These proceedings contain the technical papers selected for presentation at the conference. We received more than 90 papers from over 20 countries, and the program committee finally selected 34 papers. The conference program included one invited talk: “Knowledge Management in Heterogeneous Data Warehouse Environments” by Professor Larry Kerschberg, George Mason University, USA.

Constraint-Based Mining and Inductive Databases

Author : Jean-Francois Boulicaut
Publisher : Springer
ISBN 13 : 3540313516
Total Pages : 409 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Constraint-Based Mining and Inductive Databases by : Jean-Francois Boulicaut

Download or read book Constraint-Based Mining and Inductive Databases written by Jean-Francois Boulicaut and published by Springer. This book was released on 2006-02-08 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interconnected ideas of inductive databases and constraint-based mining are appealing and have the potential to radically change the theory and practice of data mining and knowledge discovery. This book reports on the results of the European IST project "cInQ" (consortium on knowledge discovery by Inductive Queries) and its final workshop entitled Constraint-Based Mining and Inductive Databases organized in Hinterzarten, Germany in March 2004.

Advances in Knowledge Discovery and Data Mining

Author : Ming-Syan Cheng
Publisher : Springer
ISBN 13 : 3540478876
Total Pages : 582 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Ming-Syan Cheng

Download or read book Advances in Knowledge Discovery and Data Mining written by Ming-Syan Cheng and published by Springer. This book was released on 2003-08-01 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, data visualization, and high performance computing. In view of this, and following the success of the five previous PAKDD conferences, the sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2002) aimed to provide a forum for the sharing of original research results, innovative ideas, state-of-the-art developments, and implementation experiences in knowledge discovery and data mining among researchers in academic and industrial organizations. Much work went into preparing a program of high quality. We received 128 submissions. Every paper was reviewed by 3 program committee members, and 32 were selected as regular papers and 20 were selected as short papers, representing a 25% acceptance rate for regular papers. The PAKDD 2002 program was further enhanced by two keynote speeches, delivered by Vipin Kumar from the Univ. of Minnesota and Rajeev Rastogi from AT&T. In addition, PAKDD 2002 was complemented by three tutorials, XML and data mining (by Kyuseok Shim and Surajit Chadhuri), mining customer data across various customer touchpoints at- commerce sites (by Jaideep Srivastava), and data clustering analysis, from simple groupings to scalable clustering with constraints (by Osmar Zaiane and Andrew Foss).