Published December 1996
by AAAI Press .
Written in English
|The Physical Object|
|Number of Pages||391|
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining Sponsored by the American Association for Artificial Intelligence Edited by Evangelos Simoudis, Jiawei Han, and Usama Fayyad. The Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK ) was held in Greenwich, UK 4–6 September. DaWaK was a forum where researchers from data warehousing and knowledge discovery disciplines could exchange ideas on improving next generation decision support and data mining systems. Knowledge discovery in databases (KDD), also referred to as data mining, is an area of common interest to researchers in machine discovery, statistics, databases, knowledge acquisition, machine learning, data visualization, high performance computing, and knowledge-based systems. The International Conference on Knowledge Discovery and Data. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining Edited by Evangelos Simoudis, Jiawei Han, and Usama Fayyad pp., references, index, illus., $ softcover.
Huang C, Wong R and Su Z Corporate memory in the ecotourism Proceedings of the 14th Annual International Conference on Electronic Commerce, () Hu X and Cercone N () Data Mining via Discretization, Generalization and Rough Set Feature Selection, Knowledge and Information Systems, , (), Online publication date: 1-Feb The Third International Conference on Knowledge Discovery and Data Mining (KDD) will follow up the success of KDD and KDD by bringing together researchers and application devel-opers from different areas focusing on unifying themes. KDD Organization Keynote Address: From Large to Huge. A Statistician’s Reactions to KDD and DM. KDD is a premier conference that brings together researchers and practitioners from data mining, knowledge discovery, data analytics, and big data. KDD will be the first Australian edition of KDD, and is its second time in the Asia Pacific region. Publication: KDD ' Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining August Pages 3
Fast Spatio-Temporal Data Mining of Large Geophysical Datasets, In Proceedings of KDD First International Conference on Knowledge Discovery and Data Mining, pp. , AAAI Press. Google Scholar. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Naive-Bayes induction algorithms were previously shown to be surprisingly accurate on many classification tasks even when the conditional independence assumption on which they are based is violated. However, most studies were done on small databases. We show that in some larger . Second International Conference on Knowledge Discovery & Data Mining: Proceedings Paperback – December 1, by Simoudis (Author) See all formats and editions Hide other formats and editions. Price New from Used from Paperback "Please retry" Author: Simoudis. from book The Data Mining and Knowledge Discovery Handbook Conference Paper. Full-text available. Dec ; In the second part of the paper, results of .