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On Propositionalization For Knowledge Discovery In Relational Databases
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Book Synopsis On Propositionalization for Knowledge Discovery in Relational Databases by : Mark-André Krogel
Download or read book On Propositionalization for Knowledge Discovery in Relational Databases written by Mark-André Krogel and published by . This book was released on 2005 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Database Mining by : Mark-André Krogel
Download or read book Database Mining written by Mark-André Krogel and published by . This book was released on 2008 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Relational Data Mining by : Saso Dzeroski
Download or read book Relational Data Mining written by Saso Dzeroski and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.
Book Synopsis Relational Knowledge Discovery by : M. E. Müller
Download or read book Relational Knowledge Discovery written by M. E. Müller and published by Cambridge University Press. This book was released on 2012-06-21 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory textbook presenting relational methods in machine learning.
Book Synopsis Knowledge Discovery in Databases: PKDD 2007 by : Joost N. Kok
Download or read book Knowledge Discovery in Databases: PKDD 2007 written by Joost N. Kok and published by Springer Science & Business Media. This book was released on 2007-08-31 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. The 28 revised full papers and 35 revised short papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.
Book Synopsis Improving Knowledge Discovery through the Integration of Data Mining Techniques by : Usman, Muhammad
Download or read book Improving Knowledge Discovery through the Integration of Data Mining Techniques written by Usman, Muhammad and published by IGI Global. This book was released on 2015-08-03 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.
Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Toon Calders
Download or read book Machine Learning and Knowledge Discovery in Databases written by Toon Calders and published by Springer. This book was released on 2014-09-01 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.
Book Synopsis Representation Learning by : Nada Lavrač
Download or read book Representation Learning written by Nada Lavrač and published by Springer Nature. This book was released on 2021-07-10 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph addresses advances in representation learning, a cutting-edge research area of machine learning. Representation learning refers to modern data transformation techniques that convert data of different modalities and complexity, including texts, graphs, and relations, into compact tabular representations, which effectively capture their semantic properties and relations. The monograph focuses on (i) propositionalization approaches, established in relational learning and inductive logic programming, and (ii) embedding approaches, which have gained popularity with recent advances in deep learning. The authors establish a unifying perspective on representation learning techniques developed in these various areas of modern data science, enabling the reader to understand the common underlying principles and to gain insight using selected examples and sample Python code. The monograph should be of interest to a wide audience, ranging from data scientists, machine learning researchers and students to developers, software engineers and industrial researchers interested in hands-on AI solutions.
Book Synopsis Emerging Technologies in Data Mining and Information Security by : Aboul Ella Hassanien
Download or read book Emerging Technologies in Data Mining and Information Security written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2021-05-04 with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of things (IoT) and information security.
Book Synopsis Advanced Data Mining and Applications by : Longbing Cao
Download or read book Advanced Data Mining and Applications written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2010-11-05 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, held in Chongqing, China, in November 2010. 63 carefully reviewed regular papers and 55 revised short papers were presented. The papers are organized in topical sections on data mining foundations; data mining in specific areas; data mining methodologies and processes; and data mining applications and systems.
Book Synopsis Advances in Knowledge Discovery and Data Mining by : Takashi Washio
Download or read book Advances in Knowledge Discovery and Data Mining written by Takashi Washio and published by Springer Science & Business Media. This book was released on 2008-05-08 with total page 1125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008, held in Osaka, Japan, in May 2008. The 37 revised long papers, 40 revised full papers, and 36 revised short papers presented together with 1 keynote talk and 4 invited lectures were carefully reviewed and selected from 312 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 Synopsis Inductive Logic Programming by : Dimitar Kazakov
Download or read book Inductive Logic Programming written by Dimitar Kazakov and published by Springer Nature. This book was released on 2020-06-05 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019. The 11 papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.
Book Synopsis Speeding Up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm by : A. Freitas
Download or read book Speeding Up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm written by A. Freitas and published by . This book was released on 1996 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Generic, Set-oriented Primitives to Support Data-parallel Knowledge Discovery in Relational Database Systems by : Alex Alves Freitas
Download or read book Generic, Set-oriented Primitives to Support Data-parallel Knowledge Discovery in Relational Database Systems written by Alex Alves Freitas and published by . This book was released on 1997 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Rule-Based Reasoning, Programming, and Applications by : Nick Bassiliades
Download or read book Rule-Based Reasoning, Programming, and Applications written by Nick Bassiliades and published by Springer Science & Business Media. This book was released on 2011-07-12 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Symposium on Rules, RuleML 2011 - Europe, held in Barcelona, Spain, in July 2011 - collocated with the 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011. It is the first of two RuleML events that take place in 2011. The second RuleML Symposium - RuleML 2011 - America - will be held in Fort Lauderdale, FL, USA, in November 2011. The 18 revised full papers, 8 revised short papers and 3 invited track papers presented together with the abstracts of 2 keynote talks were carefully reviewed and selected from 58 submissions. The papers are organized in the following topical sections: rule-based distributed/multi-agent systems; rules, agents and norms; rule-based event processing and reaction rules; fuzzy rules and uncertainty; rules and the semantic Web; rule learning and extraction; rules and reasoning; and rule-based applications.
Book Synopsis Scientific and Statistical Database Management by : Michael Gertz
Download or read book Scientific and Statistical Database Management written by Michael Gertz and published by Springer Science & Business Media. This book was released on 2010-06-17 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010, held in Heidelberg, Germany in June/July 2010. The 30 long and 11 short papers presented were carefully reviewed and selected from 94 submissions. The topics covered are query processing; scientific data management and analysis; data mining; indexes and data representation; scientific workflow and provenance; and data stream processing.
Book Synopsis Scientific and Statistical Database Management by : Marianne Winslett
Download or read book Scientific and Statistical Database Management written by Marianne Winslett and published by Springer. This book was released on 2009-05-21 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st International Conference on Scientific and Statistical Database Management, SSDBM 2009, held in New Orleans, LA, USA in June 2009. The 29 revised full papers and 12 revised short papers including poster and demo papers presented together with three invited presentations were carefully reviewed and selected from 76 submissions. The papers are organized in topical sections on improving the end-user experience, indexing, physical design, and energy, application experience, workflow, query processing, similarity search, mining, as well as spatial data.