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ORCID1. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 1999: Orlando, FL, USA
- Belur V. Dasarathy:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology I, Orlando, FL, USA, April 5, 1999. SPIE Proceedings 3695, SPIE 1999, ISBN 978-0-8194-3169-1
Cluster Analysis and Classification
- Belur V. Dasarathy:
Reciprocal relationship bonds: a tool in knowledge discovery process. 2-13 - Cen Li, Gautam Biswas:
Clustering sequence data using hidden Markov model representation. 14-21 - Keith C. C. Chan, Lewis L. H. Chung:
Discovering clusters in databases containing mixed continuous and discrete-valued attributes. 22-30 - Sheau-Dong Lang, Li-Jen Mao, Wen-Lin Hsu:
Probabilistic analysis of the RNN-CLINK clustering algorithm. 31-38 - Peter W. Eklund:
Comparative study of public-domain supervised machine-learning accuracy on the UCI database. 39-51
Rule Learning and Evaluation
- Robert E. Marmelstein, Lonnie P. Hammack, Gary B. Lamont:
Concurrent approach for evolving compact decision rule sets. 52-62 - Sigal Sahar, Yishay Mansour:
Empirical evaluation of interest-level criteria. 63-74 - Lisa Singh, Peter Scheuermann, Bin Chen:
IRIS: our prototype rule generation system. 75-82 - Chung K. Shin, Sang C. Park:
Memory- and neural-network-based expert system. 83-91 - Lissette Lemus del Cueto, Nancy Lopez, Luis J. Barrios, Roberto Cruz:
Search of hidden properties in sensor data using recurrent neural networks. 92-101
Data Mining Models and Fusion Techniques
- Ishwar K. Sethi:
Building a term association model for documents of interest. 102-107 - Wei-Min Shen, Weixiong Zhang, Xuejun Wang, Yigal Arens:
Model construction with key identification. 108-119 - Peter Hertkorn, Stephan Rudolph:
From data to models: synergies of a joint data mining and similarity theory approach. 120-127 - Seppo Puuronen, Vagan Y. Terziyan, Artyom Katasonov, Alexey Tsymbal:
Dynamic integration of multiple data mining techniques in a knowledge discovery management system. 128-141
Special Purpose Tools and Systems
- Christoph F. Eick, Walter D. Sanz, Ruijian Zhang:
Genetic programming system for building block analysis to enhance data analysis and data mining techniques. 142-149 - Ykä Huhtala, Juha Kärkkäinen, Hannu Toivonen
:
Mining for similarities in aligned time series using wavelets. 150-160 - Maria de Fatima Rodrigues, Carlos Ramos, Pedro Rangel Henriques:
Intelligent system to study demographic evolution. 161-170 - Jan M. Zytkow, Zbigniew W. Ras:
Mining distributed databases for attribute definitions. 171-178 - Muhammad A. Shahzad:
Data warehousing with Oracle. 179-191
Real-World Applications
- Lisa M. Sokol:
Data mining in the real world. 192-196 - Michael C. Burl, Charless C. Fowlkes, Joseph Roden, Andre Stechert, Saleem Mukhtar:
Diamond Eye: a distributed architecture for image data mining. 197-206 - Kathryn Burn-Thornton, Simon I. Thorpe:
Improving clinical decision support using data mining techniques. 207-214 - Maurizio Cibelli, Gennaro Costagliola:
Automatic generation of Web mining environments. 215-225 - Miyoung Shin, Amrit L. Goel:
Knowledge discovery and validation in software metrics databases. 226-
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