Inductive Databases And Constraint Based Data Mining

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Inductive Databases and Constraint-Based Data Mining

Author : Sašo Džeroski
Publisher : Springer Science & Business Media
ISBN 13 : 1441977384
Total Pages : 458 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Inductive Databases and Constraint-Based Data Mining by : Sašo Džeroski

Download or read book Inductive Databases and Constraint-Based Data Mining written by Sašo Džeroski and published by Springer Science & Business Media. This book was released on 2010-11-18 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ”?rst-class citizens” and KDD becomes an extended querying process in which both the data and the patterns/models that hold in the data are queried.

Inductive Databases and Constraint-Based Data Mining

Author : Sa O. D Eroski
Publisher :
ISBN 13 : 9781441977397
Total Pages : 476 pages
Book Rating : 4.9/5 (773 download)

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Book Synopsis Inductive Databases and Constraint-Based Data Mining by : Sa O. D Eroski

Download or read book Inductive Databases and Constraint-Based Data Mining written by Sa O. D Eroski and published by . This book was released on 2011-03-30 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Content-Addressable Memories

Author : T. Kohonen
Publisher : Springer
ISBN 13 : 9783642965548
Total Pages : 0 pages
Book Rating : 4.9/5 (655 download)

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Book Synopsis Content-Addressable Memories by : T. Kohonen

Download or read book Content-Addressable Memories written by T. Kohonen and published by Springer. This book was released on 2012-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designers and users of computer systems have long been aware of the fact that inclusion of some kind of content-addressable or "associative" functions in the storage and retrieval mechanisms would allow a more effective and straightforward organization of data than with the usual addressed memories, with the result that the computing power would be significantly increased. However, although the basic principles of content-addressing have been known for over twenty years, the hardware content-addressable memories (CAMs) have found their way only to special roles such as small buffer memories and con trol units. This situation now seems to be changing: Because of the develop ment of new technologies such as very-large-scale integration of semiconduc tor circuits, charge-coupled devices, magnetic-bubble memories, and certain devices based on quantum-mechanical effects, an increasing amount of active searching functions can be transferred to memory units. The prices of the more complex memory components which earlier were too high to allow the application of these principles to mass memories will be reduced to a fraction of the to tal system costs, and this will certainly have a significant impact on the new computer architectures. In order to advance the new memory principles and technologies, more in formation ought to be made accessible to a common user.

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.

Proceedings of the Seventh SIAM International Conference on Data Mining

Author : Chid Apte
Publisher : Proceedings in Applied Mathema
ISBN 13 :
Total Pages : 674 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Proceedings of the Seventh SIAM International Conference on Data Mining by : Chid Apte

Download or read book Proceedings of the Seventh SIAM International Conference on Data Mining written by Chid Apte and published by Proceedings in Applied Mathema. This book was released on 2007 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Seventh SIAM International Conference on Data Mining (SDM 2007) continues a series of conferences whose focus is the theory and application of data mining to complex datasets in science, engineering, biomedicine, and the social sciences. These datasets challenge our abilities to analyze them because they are large and often noisy. Sophisticated, highperformance, and principled analysis techniques and algorithms, based on sound statistical foundations, are required. Visualization is often critically important; tuning for performance is a significant challenge; and the appropriate levels of abstraction to allow end-users to exploit sophisticated techniques and understand clearly both the constraints and interpretation of results are still something of an open question.

Knowledge Discovery in Inductive Databases

Author : Saso Dzeroski
Publisher : Springer
ISBN 13 : 3540755497
Total Pages : 310 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Knowledge Discovery in Inductive Databases by : Saso Dzeroski

Download or read book Knowledge Discovery in Inductive Databases written by Saso Dzeroski and published by Springer. This book was released on 2007-09-29 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed joint postproceedings of the 5th International Workshop on Knowledge Discovery in Inductive Databases, KDID 2006, held in association with ECML/PKDD. Bringing together the fields of databases, machine learning, and data mining, the papers address various current topics in knowledge discovery and data mining in the framework of inductive databases such as constraint-based mining, database technology and inductive querying.

Knowledge Discovery in Inductive Databases

Author : Francesco Bonchi
Publisher : Springer Science & Business Media
ISBN 13 : 3540332928
Total Pages : 259 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Knowledge Discovery in Inductive Databases by : Francesco Bonchi

Download or read book Knowledge Discovery in Inductive Databases written by Francesco Bonchi and published by Springer Science & Business Media. This book was released on 2006-03-31 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the thoroughly refereed joint postproceedings of the 4th International Workshop on Knowledge Discovery in Inductive Databases, October 2005. 20 revised full papers presented together with 2 are reproduced here. Bringing together the fields of databases, machine learning, and data mining, the papers address various current topics in knowledge discovery and data mining in the framework of inductive databases such as constraint-based mining, database technology and inductive querying.

Formal Concept Analysis

Author : Petko Valtchev
Publisher : Springer
ISBN 13 : 3642205143
Total Pages : 278 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Formal Concept Analysis by : Petko Valtchev

Download or read book Formal Concept Analysis written by Petko Valtchev and published by Springer. This book was released on 2011-04-27 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Formal Concept Analysis, ICFCA 2011, held in Nicosia, Cyprus, in May 2011. The 16 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 49 submissions. The central theme was the mathematical formalization of concept and conceptual hierarchy. The field has developed into a constantly growing research area in its own right with a thriving theoretical community and an increasing number of applications in data and knowledge processing including disciplines such as data visualization, information retrieval, machine learning, software engineering, data analysis, data mining, social networks analysis, etc.

Database Systems for Advanced Applications

Author : Hiroyuki Kitagawa
Publisher : Springer Science & Business Media
ISBN 13 : 3642120970
Total Pages : 515 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Database Systems for Advanced Applications by : Hiroyuki Kitagawa

Download or read book Database Systems for Advanced Applications written by Hiroyuki Kitagawa and published by Springer Science & Business Media. This book was released on 2010-03-18 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 5981 and LNCS 5982 constitutes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. The 39 revised full papers and 16 revised short papers presented together with 3 invited keynote papers, 22 demonstration papers, 6 industrial papers, and 2 keynote talks were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in topical sections on P2P-based technologies, data mining technologies, XML search and matching, graphs, spatial databases, XML technologies, time series and streams, advanced data mining, query processing, Web, sensor networks and communications, information management, as well as communities and Web graphs. The second volume contains contributions related to trajectories and moving objects, skyline queries, privacy and security, data streams, similarity search and event processing, storage and advanced topics, industrial, demo papers, and tutorials and panels.

Discovery Science

Author : Gunter Grieser
Publisher : Springer
ISBN 13 : 3540396446
Total Pages : 515 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Discovery Science by : Gunter Grieser

Download or read book Discovery Science written by Gunter Grieser and published by Springer. This book was released on 2003-10-02 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Discovery Science, DS 2003, held in Sapporo, Japan in October 2003. The 18 revised full papers and 29 revised short papers presented together with 3 invited papers and abstracts of 2 invited talks were carefully reviewed and selected from 80 submissions. The papers address all current issues in discovery science including substructure discovery, Web navigation patterns discovery, graph-based induction, time series data analysis, rough sets, genetic algorithms, clustering, genome analysis, chaining patterns, association rule mining, classification, content based filtering, bioinformatics, case-based reasoning, text mining, Web data analysis, and more.

Data Warehousing and Knowledge Discovery

Author : Mukesh Mohania
Publisher : Springer Science & Business Media
ISBN 13 : 3540664580
Total Pages : 413 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Data Warehousing and Knowledge Discovery by : Mukesh Mohania

Download or read book Data Warehousing and Knowledge Discovery written by Mukesh Mohania and published by Springer Science & Business Media. This book was released on 1999-08-20 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Data Warehousing and Knowledge Discovery, DaWaK'99, held in Florence, Italy in August/September 1999. The 31 revised full papers and nine short papers presented were carefully reviewed and selected from 88 submissions. The book is divided in topical sections on data warehouse design; online analytical processing; view synthesis, selection, and optimization; multidimensional databases; knowledge discovery; association rules; inexing and object similarities; generalized association rules and data and web mining; time series data bases; data mining applications and data analysis.

Data Mining and Knowledge Discovery Handbook

Author : Oded Maimon
Publisher : Springer Science & Business Media
ISBN 13 : 038725465X
Total Pages : 1378 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Data Mining and Knowledge Discovery Handbook by : Oded Maimon

Download or read book Data Mining and Knowledge Discovery Handbook written by Oded Maimon and published by Springer Science & Business Media. This book was released on 2006-05-28 with total page 1378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning and Knowledge Discovery in Databases

Author : Walter Daelemans
Publisher : Springer
ISBN 13 : 354087481X
Total Pages : 721 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Walter Daelemans

Download or read book Machine Learning and Knowledge Discovery in Databases written by Walter Daelemans and published by Springer. This book was released on 2008-08-17 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Databases Theory and Applications

Author : Hua Wang
Publisher : Springer
ISBN 13 : 3319086081
Total Pages : 251 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Databases Theory and Applications by : Hua Wang

Download or read book Databases Theory and Applications written by Hua Wang and published by Springer. This book was released on 2014-07-04 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th Australasian Database Conference, ADC 2014, held in Brisbane, NSW, Australia, in July 2014. The 15 full papers presented together with 6 short papers and 2 keynotes were carefully reviewed and selected from 38 submissions. A large variety of subjects are covered, including hot topics such as data warehousing; database integration; mobile databases; cloud, distributed, and parallel databases; high dimensional and temporal data; image/video retrieval and databases; database performance and tuning; privacy and security in databases; query processing and optimization; semi-structured data and XML; spatial data processing and management; stream and sensor data management; uncertain and probabilistic databases; web databases; graph databases; web service management; and social media data management.

Machine Learning and Knowledge Discovery in Databases

Author : Annalisa Appice
Publisher : Springer
ISBN 13 : 3319235281
Total Pages : 760 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Annalisa Appice

Download or read book Machine Learning and Knowledge Discovery in Databases written by Annalisa Appice and published by Springer. This book was released on 2015-08-28 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, and 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.

Discovery Science

Author : Bernahrd Pfahringer
Publisher : Springer Science & Business Media
ISBN 13 : 3642161839
Total Pages : 396 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Discovery Science by : Bernahrd Pfahringer

Download or read book Discovery Science written by Bernahrd Pfahringer and published by Springer Science & Business Media. This book was released on 2010-09-27 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNAI series reports state-of-the-art results in artificial intelligence research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R & D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelligent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes proceedings (published in time for the respective conference) post-proceedings (consisting of thoroughly revised final full papers) research monographs (which may be based on PhD work) More recently, several color-cover sublines have been added featuring, beyond a collection of papers, various added-value components; these sublines include tutorials (textbook-like monographs or collections of lectures given at advance courses) state-of-the-art surveys (offering complete and mediated coverage of a topic) hot topics (introducing emergent topics to the broader community) In parallel to the printed book, each new volume is published electronically in LNCS Online. Book jacket.

Data Warehousing and Knowledge Discovery

Author : Yahiko Kambayashi
Publisher : Springer Science & Business Media
ISBN 13 : 9783540229377
Total Pages : 672 pages
Book Rating : 4.2/5 (293 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 Science & Business Media. This book was released on 2004-08-18 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2004, held in Zaragoza, Spain, in September 2004. The 40 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers are organized in topical sections on data warehouse design; knowledge discovery framework and XML data mining, data cubes and queries; multidimensional schema and data aggregation; inductive databases and temporal rules; industrial applications; data clustering; data visualization and exploration; data classification, extraction, and interpretation; data semantics, association rule mining; event sequence mining; and pattern mining.