1996 AdvancesInKnowledgeDiscovery

• (Fayyad et al., 1996a) ⇒ Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy. (1996). “Advances in Knowledge Discovery and Data Mining.” In: American Association for Artificial Intelligence. ISBN 0-262-56097-6

Subject Headings: Data Mining Algorithm, KDD Process.

Publishers Abstract

• During the last decade, we have seen an explosive growth in our capabilities to both generate and collect data. Advances in data collection, widespread use of bar codes for most commercial products, and the computerization of many business and government transactions have flooded us with information, and generated an urgent need for new techniques and tools that can intelligently and automatically assist us in transforming this data into useful knowledge. This book examines and describes many such new techniques and tools, in the emerging field of data mining and knowledge discovery in databases (KDD).
• The chapters of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augmented database systems, and application case studies.
• Advances in Knowledye Discovery and Data Mining brings together the latest research — in statistics, databases, machine learning, and artificial intelligence — that are part of the exciting and rapidly growing field of knowledge discovery and data mining. Topics covered include fundamental issues, classification and clustering, trend and deviation analysis, dependency modeling, integrated discovery systems, next generation database systems, and application case studies. The contributors include leading researchers and practitioners from academia, government laboratories, and private industry.
• Advances in data collection, widespread use of bar codes for most commercial products, and the computerization of many business and government transactions have flooded us with data and generated an urgent need for new techniques and tools that can intelligently and automatically assist in transforming this data into useful knowledge. This book is a timely and comprehensive overview of the new generation of techniques and tools for knowledge discovery in data.

Table of Contents

• Usama M. Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth. (1996). “From Data Mining to Knowledge Discovery: an overview.” In: (Fayyad et al., 1996a)
• Ronald J. Brachman, Tej Anand. (1996). “The process of knowledge discovery in databases.” In: (Fayyad et al., 1996a)
• Wray Buntine. (1996). “Graphical models for discovering knowledge.” In: (Fayyad et al., 1996a)
• John F. Elder, IV, Dary Pregibon. (1996). “A statistical perspective on knowledge discovery in databases.” In: (Fayyad et al., 1996a)
• Sašo Džeroski. (1996). “Inductive logic programming and knowledge discovery in databases.” In: (Fayyad et al., 1996a)
• Peter Cheeseman, John Stutz. (1996). “Bayesian classification (AutoClass): theory and results.” In: (Fayyad et al., 1996a)
• Isabelle M. Guyon, Nada Matic, Vladimir N. Vapnik. (1996). “Discovering Informative Patterns and Data Cleaning.” In: (Fayyad et al., 1996a)
• Brian R. Gaines. (1996). “Transforming rules and trees.” In: (Fayyad et al., 1996a)
• Donald J. Berndt, James Clifford. (1996). “Finding patterns in time series: a dynamic programming approach.” In: (Fayyad et al., 1996a)
• Willi Klösgen. (1996). “Explora: a multipattern and multistrategy discovery assistant.” In: (Fayyad et al., 1996a)
• David Heckerman. (1996). “Bayesian networks for knowledge discovery.” In: (Fayyad et al., 1996a)
• (Agrawal et al., 1996) ⇒ Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, and A. Inkeri Verkamo. (1996). “Fast Discovery of Association Rules.” In: (Fayyad et al., 1996a)
• Robert Zembowicz, Jan M. Zytkow. (1996). “From contingency tables to various forms of knowledge in databases.” In: (Fayyad et al., 1996a)
• Evangelos Simoudis, Brian Livezey, Randy Kerber. (1996). “Integrating inductive and deductive reasoning for data mining.” In: (Fayyad et al., 1996a)
• Wei-Min Shen, KayLiang Ong, Bharat Mitbander, Carlo Zaniolo. (1996). “Metaqueries for data mining.” In: (Fayyad et al., 1996a)
• Jiawei Han, Yongjian Fu. (1996). “Attribute-oriented induction in data mining.” In: (Fayyad et al., 1996a)
• Chun-Nan Hsu, Craig A. Knoblock. (1996). “Using inductive learning to generate rules for semantic query optimization.” In: (Fayyad et al., 1996a)
• Marcel Holsheimer, Martin L. Kersten, Arno P. J. M. Siebes. (1996). “Data surveyor: the nuggets in parallel.” In: (Fayyad et al., 1996a)
• Usama M. Fayyad, S. George Djorgovski, Nicholas Weir. (1996). “Automating the analysis and cataloging of sky surveys.” In: (Fayyad et al., 1996a)
• Christopher J. Matheus, Gregory Piatetsky-Shapiro, Dwight McNeill. (1996). “Selecting and reporting what is interesting.” In: (Fayyad et al., 1996a)
• Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona. (1996). “Modeling subjective uncertainty in image annotation.” In: (Fayyad et al., 1996a)
• Chidanand Apte, Se June Hong. (1996). “Predicting equity returns from securities data.” In: (Fayyad et al., 1996a)
• Ramasamy Uthurusamy. (1996). “From data mining to knowledge discovery: current challenges and future directions.” In: (Fayyad et al., 1996a)
• Willi Klösgen, Jan M. Zytkow. (1996). “Knowledge discovery in databases terminology.” In: (Fayyad et al., 1996a)
• Gregory Piatetsky-Shapiro . (1996). “Data mining and knowledge discovery Internet resources.” In: (Fayyad et al., 1996a),

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1996 AdvancesInKnowledgeDiscovery	Usama M. Fayyad Gregory Piatetsky-Shapiro Padhraic Smyth Ramasamy Uthurusamy			Advances in Knowledge Discovery and Data Mining			http://www.aaai.org/Press/Books/fayyad.php