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ORCID2. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: Orlando, FL, USA
- Belur V. Dasarathy:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, Orlando, FL, USA, April 24, 2000. SPIE Proceedings 4057, SPIE 2000, ISBN 978-0-8194-3683-2
Cluster Analysis and Classification Tools
- Belur V. Dasarathy:
Metric sensitivity of reciprocal relationship bonds in the knowledge discovery process. 2-10 - Lewis L. H. Chung, Keith C. C. Chan, Henry Leung:
Discovering fuzzy clusters in databases using an evolutionary approach. 11-21 - Seppo Puuronen, Alexey Tsymbal, Vagan Y. Terziyan
:
Distance functions in dynamic integration of data mining techniques. 22-32 - Alexander Strehl, Joydeep Ghosh:
Value-based customer grouping from large retail data sets. 33-42 - Girish Kulkarni:
Classification analysis of customer satisfaction and repeat buyers survey data. 43-48 - Sayee Sumathi, S. N. Sivanandam, R. Ravindran:
Design of a hybrid model classifier for data mining applications. 49-61
Approximate Reasoning, Neural Networks, and Wavelets
- James F. Smith III, Robert D. Rhyne II:
Genetic-algorithm-based optimization of a fuzzy logic resource manager for electronic attack. 62-73 - Shusaku Tsumoto:
Discovery of approximate concepts in clinical databases based on a rough set model. 74-81 - Jan M. Zytkow:
Granularity refined by knowledge: contingency tables and rough sets as tools of discovery. 82-91 - Yanqing Zhang:
Numerical-linguistic knowledge discovery using granular neural networks. 92-99 - Shusaku Tsumoto:
Fuzzification of attribute-oriented generalization and its application to medicine. 100-107 - Yiyu Yao:
Information tables with neighborhood semantics. 108-116 - Guoyin Wang, Paul S. Fisher:
Knowledge acquisition: neural network learning. 117-129
Rule-Discerning Approaches
- I-Jen Chiang:
Auditing health insurance reimbursement by constructing association rules. 130-137 - Osmar R. Zaïane, Jiawei Han:
Discovering spatial associations in images. 138-147 - Eric Louie, Tsau Young Lin:
Data mining approach using machine-oriented modeling: finding association rules using canonical names. 148-154 - Petteri Sevon:
Using closed itemsets in association rule mining with taxonomies. 155-162 - Maybin K. Muyeba, John A. Keane:
Distributed data mining: an attribute-oriented key-preserving method. 163-172 - Donald J. Berndt, Ronald K. Satterfield:
Customer and household matching: resolving entity identity in data warehouses. 173-180 - Guoyin Wang, Yu Wu, Paul S. Fisher:
Rule generation based on rough set theory. 181-191
Temporal Data Mining
- Tsau Young Lin:
Theoretical sampling for data mining. 192-200 - Jong P. Yoon, Jieun Lee, Sungrim Kim:
Trend similarity and prediction in time-series databases. 201-212 - Mariko Yoshida, Tetsuya Iizuka, Hisako Shiohara, Masanori Ishiguro:
Mining sequential patterns including time intervals. 213-220 - Monica Wachowicz:
How can knowledge discovery methods uncover spatio-temporal patterns in environmental data? 221-229 - Jennifer Seitzer, James P. Buckley:
Cycle mining in active database environments. 230-239 - Michael C. Burl, Dominic Lucchetti:
Autonomous visual discovery. 240-249
Scientific and Remotely Sensed Data Mining
- Stephan Rudolph:
Knowledge discovery in scientific data. 250-258 - Rahul Ramachandran, Helen Conover, Sara J. Graves, Ken Keiser:
Challenges and solutions to mining Earth science data. 259-264 - Peter W. Eklund, Jane You, Peter J. Deer:
Mining remote sensing image data: an integration of fuzzy set theory and image understanding techniques for environmental change detection. 265-272 - Peter Hertkorn, Stephan Rudolph:
Systematic method to identify patterns in engineering data. 273-280 - Julius Stuller:
Integration inconsistency removal in data mining. 281-291 - Jonathan S. Litt, Donald L. Simon, Claudia Meyer, Hans DePold, J. R. Curtis, Howard Winston, Yao Wang, Irving C. Statler, Yuri Gawdiak:
NASA aviation safety program: Aircraft Engine Health Management Data Mining Tools roadmap. 292-298 - Ari Visa, Jarmo Toivonen, Barbro Back, Hannu Vanharanta:
Toward text understanding: classification of text documents by word map. 299-307
Biomedical Applications
- Marek R. Ogiela, Ryszard Tadeusiewicz:
Application of syntactic methods of pattern recognition for data mining and knowledge discovery in medicine. 308-318 - Sorin Draghici, Lonnie T. Cumberland Jr., Ladislau C. Kovari:
Correlation of HIV protease structure with Indinavir resistance: a data mining and neural networks approach. 319-329 - Gautam B. Singh, Stephen A. Krawetz:
Data mining algorithm for discovering matrix association regions (MARs). 330-341 - Donglin Liu, Gautam B. Singh:
Data mining approaches for information retrieval from genomic databases. 342-351 - Michael M. Yin, Jason T. L. Wang:
Application of hidden Markov models to biological data mining: a case study. 352-358 - Petra Perner:
Mining knowledge in medical image databases. 359-368 - Shuhua Zhang, John D. Coleman:
Data mining and intelligent queries in a knowledge-based multimedia medical database system. 369-379
Web and Other Miscellaneous Applications
- Hui Xiong, Sam Yuan Sung, Stephen Huang:
Adapting the right web pages to the right users. 380-387 - Alfred Grasso, Harry Sleeper, Bhavani M. Thuraisingham, Yike Guo:
Data mining for the e-business: developments and directions. 388-392 - Jenifer S. McCormack, Brian Wohlschlaeger:
Harnessing agent technologies for data mining and knowledge discovery. 393-400 - Eduardo R. Sevilla:
Application of data mining and knowledge discovery in emergency models and simulations. 401-408 - Edmond C. P. Chang:
National traffic system evaluation using data mining techniques. 409-411 - Karin Becker, Cinara Guellner Ghedini, Egidio L. Terra:
Using KDD to analyze the impact of curriculum revisions in a Brazilian university. 412-419 - Sayee Sumathi, S. N. Sivanandam, Jagadeeswari:
Self-organized neural network scheme as a data mining tool. 420-
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