Published 1999
by University of Illinois Graduate School of Library and Information Science in Champaign .
Written in English
Edition Notes
| Statement | Jian Qin and M. Jay Norton, issue editors. |
| Series | Library trends -- 48 (1) |
| Contributions | Qin, Jian., Norton, M. Jay. |
| The Physical Object | |
|---|---|
| Pagination | 1-281 p. |
| Number of Pages | 281 |
| ID Numbers | |
| Open Library | OL18298135M |
By Jian Qin and M. Jay Norton, Published on 06/01/ Recommended Citation. Qin, J., Norton, M. J. (). Knowledge Discovery in Bibliographic Databases - by: 4. Knowledge Discovery in Databases brings together current research on the exciting problem of discovering useful and interesting knowledge in databases. It spans many different approaches to discovery, including inductive learning, bayesian statistics, semantic query optimization, knowledge acquisition for expert systems, information theory, and. John M. Long, E. A. Irani, James R. Slagle: Automating the Discovery of Causal Relationships in a Medical Records Database: The POSCH AI Project. Knowledge Discovery in Databases . CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases.
Book Title Knowledge Discovery in Databases Book Subtitle Eine Analyse des Änderungsmanagements in der Produktentwicklung Authors. Armin Sharafi; Series Title Informationsmanagement und Computer Aided Team Copyright Publisher Gabler Verlag Copyright Holder Springer Fachmedien Wiesbaden eBook ISBN DOI / Brand: Springer Shop. The book Knowledge Discovery in Databases, edited by Piatetsky-Shapiro and Frawley [P-SF91], is an early collection of research papers on knowledge discovery from data. The book Advances in Knowledge Discovery and Data Mining, edited by Fayyad, Piatetsky-Shapiro, Smyth, and Uthurusamy [FPSS+96], is a collection of later research results on knowledge discovery and data mining. Bibliographic Notes The book Knowledge Discovery in Databases, edited by Piatetsky-Shapiro and Frawley [P-SF91], is an early collection of research papers on knowledge discovery from data. The book Advances in Knowledge Discovery and Data Mining, edited by Fayyad, Piatetsky-Shapiro, Smyth, and Uthurusamy [FPSS+96], is a collection of later research results on knowledge discovery and data . Knowledge Discovery in Databases: PKDD 10th European Conference on Principles and Practice of Knowledge Discovery in Databases Berlin, Germany, September , Proceedings.
Books; SIGs; Conferences; People; More. Search ACM Digital Library Upcoming Events; Authors; Affiliations; Award Winners; More. Home Conferences SAC Proceedings SAC '97 Science watch by knowledge discovery in bibliographic databases. ARTICLE. Free Access. Science watch by knowledge discovery in bibliographic databases. Share on. Author: T. 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September , Part of the Lecture Notes in Computer Science book series (LNCS, volume ) Also part of the Lecture Notes in Artificial Intelligence book sub series Bibliographic . 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. This article presents a description and case study of CiteSpace II, a Java application which supports visual exploration with knowledge discovery in bibliographic databases. Highly cited and pivotal documents, areas of specialization within a knowledge domain, and emergence of research topics are visually mapped through a progressive knowledge domain visualization approach to detecting and .
