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Book Multi Relational Data Mining

Download or read book Multi Relational Data Mining written by B.L.J. Kaczmarek and published by IOS Press. This book was released on 2006-08-25 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This interest has inspired a rapidly maturing research field with developments both on a theoretical, as well as on a practical level with the availability of a range of commercial tools. Unfortunately, the widespread application of this technology has been limited by an important assumption in mainstream Data Mining approaches. This assumption – all data resides, or can be made to reside, in a single table – prevents the use of these Data Mining tools in certain important domains, or requires considerable massaging and altering of the data as a pre-processing step. This limitation has spawned a relatively recent interest in richer Data Mining paradigms that do allow structured data as opposed to the traditional flat representation. This publication goes into the different uses of Data Mining, with Multi-Relational Data Mining (MRDM), the approach to Structured Data Mining, as the main subject of this book.

Book Multi relational Data Mining

Download or read book Multi relational Data Mining written by Arno J. Knobbe and published by . This book was released on 1999 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Multi relational Data Mining

Download or read book Multi relational Data Mining written by and published by . This book was released on 2006 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This interest has inspired a rapidly maturing research field with developments both on a theoretical, as well as on a practical level with the availability of a range of commercial tools. Unfortunately, the widespread application of this technology has been limited by an important assumption in mainstream Data Mining approches. This assumption - all data resides, or can be made to reside, in a single table - prevents the use of these Data Mining tools in certain important domains, or requires considerable massaging and altering of the data as a pre-processing step. This liitation has spawned a relatively recent interest in richer Data Mining paradigms that do allow structured data as opposed to the traditional flat representation. This publication goes into the different uses of Data Mining, with Multi-Relational Data Minig (MRDM), the approach to Structured Data Mining, as the main subject of this book.

Book A NEW HYBRID MULTI RELATIONAL DATA MINING TECHNIQUE

Download or read book A NEW HYBRID MULTI RELATIONAL DATA MINING TECHNIQUE written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-relational learning has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational databases. As patterns involve multiple relations, the search space of possible hypotheses becomes intractably complex. Many relational knowledge discovery systems have been developed employing various search strategies, search heuristics and pattern language limitations in order to cope with the complexity of hypothesis space. In this work, we propose a relational concept learning technique, which adopts concept descriptions as associations between the concept and the preconditions to this concept and employs a relational upgrade of association rule mining search heuristic, APRIORI rule, to effectively prune the search space. The proposed system is a hybrid predictive inductive logic system, which utilizes inverse resolution for generalization of concept instances in the presence of background knowledge and refines these general patterns into frequent and strong concept definitions with a modified APRIORI-based specialization operator. Two versions of the system are tested for three real-world learning problems: learning a linearly recursive relation, predicting carcinogenicity of molecules within Predictive Toxicology Evaluation (PTE) challenge and mesh design. Results of the experiments show that the proposed hybrid method is competitive with state-of-the-art systems.

Book Multi relational Data Mining

Download or read book Multi relational Data Mining written by Arno Jan Knobbe and published by . This book was released on 2004 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Relational Data Mining

    Book Details:
  • Author : Saso Dzeroski
  • Publisher : Springer Science & Business Media
  • Release : 2013-04-17
  • ISBN : 3662045990
  • Pages : 410 pages

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 Multi relational Data Mining Using Vertical Database Technology

Download or read book Multi relational Data Mining Using Vertical Database Technology written by Qiang Ding and published by . This book was released on 2004 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Special Issue  Multi relational Data Mining and Statistical Relational Learning

Download or read book Special Issue Multi relational Data Mining and Statistical Relational Learning written by Hendrik Blockeel and published by . This book was released on 2006 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Multi relational Data Mining and Statistical Relational Learning

Download or read book Multi relational Data Mining and Statistical Relational Learning written by Hendrik Blockeel and published by . This book was released on 2006 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Progress on Multi relational Data Mining

Download or read book Progress on Multi relational Data Mining written by Workshop on Multi-Relational Data Mining and published by . This book was released on 2008 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Special Issue on Multi relational Data Mining  27 August 2003  Monroe West  USA

Download or read book Special Issue on Multi relational Data Mining 27 August 2003 Monroe West USA written by Sašo Džeroski and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Special Issue  Progress on Multi relational Data Mining

Download or read book Special Issue Progress on Multi relational Data Mining written by Donato Malerba and published by . This book was released on 2008 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Logical and Relational Learning

Download or read book Logical and Relational Learning written by Luc De Raedt and published by Springer Science & Business Media. This book was released on 2008-09-27 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.

Book Proceedings of the Workshop on Multi Relational Data Mining   MRDM 2002

Download or read book Proceedings of the Workshop on Multi Relational Data Mining MRDM 2002 written by Sašo Džeroski and published by . This book was released on 2002 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Proceedings of the 2nd International Workshop on Multi Relational Data Mining  MRDM 2003

Download or read book Proceedings of the 2nd International Workshop on Multi Relational Data Mining MRDM 2003 written by Sašo Džeroski and published by . This book was released on 2003 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Aggregation and Privacy in Multi Relational Databases

Download or read book Aggregation and Privacy in Multi Relational Databases written by Yasser Jafer and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: