Advances In 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 | : 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 | : Saso Dzeroski |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 422 |
| Release | : 2001-08 |
| Genre | : Business & Economics |
| ISBN | : 9783540422891 |
Download Relational Data Mining Book in PDF, ePub and Kindle
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.
| Author | : Wolfram Burgard |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 321 |
| Release | : 1999-09-01 |
| Genre | : Computers |
| ISBN | : 3540664955 |
Download KI-99: Advances in Artificial Intelligence Book in PDF, ePub and Kindle
For many years, Arti?cial Intelligence technology has served in a great variety of successful applications. AI researchand researchershave contributed much to the vision of the so-called Information Society. As early as the 1980s, some of us imagined distributed knowledge bases containing the explicable knowledge of a company or any other organization. Today, such systems are becoming reality. In the process, other technologies have had to be developed and AI-technology has blended with them, and companies are now sensitive to this topic. TheInternetandWWWhaveprovidedtheglobalinfrastructure,whileatthe same time companies have become global in nearly every aspect of enterprise. This process has just started, a little experience has been gained, and therefore it is tempting to re?ect and try to forecast, what the next steps may be. This has given us one of the two main topics of the 23rd Annual German Conference on Arti?cial Intelligence (KI-99)held at the University of Bonn: The Knowledge Society. Two of our invited speakers, Helmut Willke, Bielefeld, and Hans-Peter Kriegel, Munich, dwell on di?erent aspects with di?erent perspectives. Helmut Willke deals with the concept of virtual organizations, while Hans-Peter Kriegel applies data mining concepts to pattern recognitiontasks.The three application forums are also part of the Knowledge Society topic: “IT-based innovation for environment and development”, “Knowledge management in enterprises”, and “Knowledgemanagementinvillageandcityplanningoftheinformationsociety”.
| Author | : Shichao Zhang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 250 |
| Release | : 2004-08-30 |
| Genre | : Computers |
| ISBN | : 9781852337032 |
Download Knowledge Discovery in Multiple Databases Book in PDF, ePub and Kindle
The Web has emerged as a large, distributed data repository, and information on the Internet and in existing transaction databases can be analyzed for commercial gains in decision making. Therefore, how to efficiently identify quality knowledge from different data sources uncovers a significant challenge. This challenge has attracted wide interest from both academia and the industry. Knowledge Discovery in Multiple Databases provides a comprehensive introduction to the latest advancements in multi-database mining, and presents a local-pattern analysis framework for pattern discovery from multiple data sources. Based on this framework, data preparation techniques in multiple databases, an application-independent database classification for data reduction, and efficient algorithms for pattern discovery from multiple databases are described. Knowledge Discovery in Multiple Databases is suitable for researchers, professionals and students in data mining, distributed data analysis, and machine learning, who are interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might involve knowledge discovery in databases and data mining.
| Author | : Xue Z. Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 263 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1447104218 |
Download Data Mining and Knowledge Discovery for Process Monitoring and Control Book in PDF, ePub and Kindle
Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support. This book introduces developments in automatic analysis and interpretation of process-operational data both in real-time and over the operational history, and describes new concepts and methodologies for developing intelligent, state space-based systems for process monitoring, control and diagnosis. The book brings together new methods and algorithms from process monitoring and control, data mining and knowledge discovery, artificial intelligence, pattern recognition, and causal relationship discovery, as well as signal processing. It also provides a framework for integrating plant operators and supervisors into the design of process monitoring and control systems.
| Author | : Petra Perner |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 115 |
| Release | : 2002-08-21 |
| Genre | : Business & Economics |
| ISBN | : 3540441166 |
Download Advances in Data Mining Book in PDF, ePub and Kindle
This book presents six thoroughly reviewed and revised full papers describing selected projects on data mining. Three papers deal with data mining and e-commerce, focusing on sequence rule analysis, association rule mining and knowledge discovery in databases, and intelligent e-marketing with Web mining. One paper is devoted to experience management and process learning. The last two papers report on medical applications, namely on genomic data processing and on case-based reasoning for prognosis of influenza.
| Author | : Pang-Ning Tan |
| Publisher | : Springer |
| Total Pages | : 642 |
| Release | : 2012-05-10 |
| Genre | : Computers |
| ISBN | : 3642302173 |
Download Advances in Knowledge Discovery and Data Mining, Part I Book in PDF, ePub and Kindle
The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume.
| Author | : Fabrice Guillet |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 340 |
| Release | : 2010-06-11 |
| Genre | : Computers |
| ISBN | : 3642005799 |
Download Advances in Knowledge Discovery and Management Book in PDF, ePub and Kindle
During the last decade, the French-speaking scientific community developed a very strong research activity in the field of Knowledge Discovery and Management (KDM or EGC for “Extraction et Gestion des Connaissances” in French), which is concerned with, among others, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and SemanticWeb. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2009 Conference held in Strasbourg, France on January 2009. The volume is organized in four parts. Part I includes five papers concerned by various aspects of supervised learning or information retrieval. Part II presents five papers concerned with unsupervised learning issues. Part III includes two papers on data streaming and two on security while in Part IV the last four papers are concerned with ontologies and semantic.
| Author | : Krzysztof J. Cios |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 601 |
| Release | : 2007-10-05 |
| Genre | : Computers |
| ISBN | : 0387367950 |
Download Data Mining Book in PDF, ePub and Kindle
This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining projects should be performed, from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes Data Mining from other texts in this area. The book provides a suite of exercises and includes links to instructional presentations. Furthermore, it contains appendices of relevant mathematical material.
