Knowledge Discovery In Databases PDF Download
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Author | : Animesh Adhikari |
Publisher | : Springer |
Total Pages | : 377 |
Release | : 2014-12-27 |
Genre | : Technology & Engineering |
ISBN | : 3319132121 |
Download Advances in Knowledge Discovery in Databases Book in PDF, ePub and Kindle
This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.
Author | : Oded Maimon |
Publisher | : Springer Science & Business Media |
Total Pages | : 1378 |
Release | : 2006-05-28 |
Genre | : Computers |
ISBN | : 038725465X |
Download Data Mining and Knowledge Discovery Handbook Book in PDF, ePub and Kindle
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.
Author | : Shichao Zhang |
Publisher | : Springer Science & Business Media |
Total Pages | : 237 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 0857293885 |
Download Knowledge Discovery in Multiple Databases Book in PDF, ePub and Kindle
Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining.
Author | : Andrew Stranieri |
Publisher | : Springer Science & Business Media |
Total Pages | : 307 |
Release | : 2006-03-30 |
Genre | : Computers |
ISBN | : 1402030371 |
Download Knowledge Discovery from Legal Databases Book in PDF, ePub and Kindle
Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit. Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.
Author | : Saso Dzeroski |
Publisher | : Springer |
Total Pages | : 310 |
Release | : 2007-09-29 |
Genre | : Computers |
ISBN | : 3540755497 |
Download Knowledge Discovery in Inductive Databases Book in PDF, ePub and Kindle
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.
Author | : Joost N. Kok |
Publisher | : Springer |
Total Pages | : 660 |
Release | : 2007-08-30 |
Genre | : Computers |
ISBN | : 3540749764 |
Download Knowledge Discovery in Databases: PKDD 2007 Book in PDF, ePub and Kindle
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.
Author | : Zhu, Xingquan |
Publisher | : IGI Global |
Total Pages | : 290 |
Release | : 2007-04-30 |
Genre | : Computers |
ISBN | : 1599042541 |
Download Knowledge Discovery and Data Mining: Challenges and Realities Book in PDF, ePub and Kindle
"This book provides a focal point for research and real-world data mining practitioners that advance knowledge discovery from low-quality data; it presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying low-quality data. Contributions also focus on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing"--Provided by publisher.
Author | : Usama M. Fayyad |
Publisher | : |
Total Pages | : 638 |
Release | : 1996 |
Genre | : Computers |
ISBN | : |
Download Advances in Knowledge Discovery and Data Mining Book in PDF, ePub and Kindle
Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.
Author | : |
Publisher | : |
Total Pages | : |
Release | : 1989 |
Genre | : |
ISBN | : |
Download Knowledge Discovery in databases Book in PDF, ePub and Kindle
Author | : Walter Daelemans |
Publisher | : Springer |
Total Pages | : 714 |
Release | : 2008-08-17 |
Genre | : Computers |
ISBN | : 3540874798 |
Download Machine Learning and Knowledge Discovery in Databases Book in PDF, ePub and Kindle
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.