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ORCID3. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: Orlando, FL, USA
- Belur V. Dasarathy:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology III, Orlando, FL, USA, April 16, 2001. SPIE Proceedings 4384, SPIE 2001, ISBN 978-0-8194-4079-2
Clustering and Classification Techniques
- Chi-Man Kwan
, Roger Xu, Leonard S. Haynes:
New data clustering technique and its applications. 1-5 - Gunjan Gupta, Joydeep Ghosh:
Value-balanced agglomerative connectivity clustering. 6-15 - José Alfredo Ferreira Costa, Márcio Luiz De Andrade Netto:
Clustering of complex shaped data sets via Kohonen maps and mathematical morphology. 16-27 - Claudia Diamantini, Maurizio Panti:
Efficient boundary hunting via vector quantization. 28-37 - Dianhui Wang, Tharam S. Dillon:
Extraction and optimization of classification rules for continuous or mixed-mode data using neural nets. 38-45
Image and Web Mining I
- Jiang Li, Ram M. Narayanan, William J. Waltman, Albert J. Peters:
Fuzzy feature-based image mining in remote sensing. 46-55 - Irwin Alber, Morton S. Farber, Nancy Yeager, Ziyou Xiong, William M. Pottenger:
Retrieval of multi- and hyperspectral images using an interactive relevance feedback form of content-based image retrieval. 56-66 - Kelda L. Hearn, Yanqing Zhang:
Fuzzy, crisp, and human logic in e-commerce marketing data mining. 67-74
Image and Web Mining II
- Valery A. Petrushin:
eShopper modeling and simulation. 75-83 - Amidha Shyamsukha, Archana Sathaye, Arun Swami:
Web caching and prefetching: a data mining approach. 84-91
Data Mining and Knowledge Discovery: Theory and Tools
- James F. Smith III, Robert D. Rhyne II:
Knowledge discovery through games and game theory. 92-103 - Wojciech Moczulski, Jan M. Zytkow:
Discovery of diagnostic knowledge from multisensor data. 104-115 - Jong P. Yoon, Sungrim Kim:
Schema extraction and levelization for XML data. 116-125 - Claudio Meneses, Georges G. Grinstein:
Visualization for enhancing the data mining process. 126-137 - Rajeev Ayyagari, Byong-Hoon Park, Daryl E. Hershberger, Hillol Kargupta:
Toward ubiquitous mining of distributed data. 138-148 - Ari Visa, Jarmo Toivonen, Sami Autio, Jarno Mäkinen, Barbro Back, Hannu Vanharanta:
Data mining of text as a tool in authorship attribution. 149-156 - Michael Dewsnip, Malika Mahoui:
Efficiently mining maximal frequent patterns: fast-miner. 157-162
Soft Computing, Rough Sets, and Fuzzy Logic
- Joseph C. C. Chan, Tsau Young Lin:
Application of preprocessing filtering on Decision Tree C4.5 and rough set theory. 163-170 - Gary Witus:
System to build fuzzy logic models from databases and application to multisensor data. 171-179 - Shusaku Tsumoto:
Statistical extension of rough set rule induction. 180-188 - Sayee Sumathi, S. N. Sivanandam, Suresh Babu:
New soft computing model for data mining. 189-199 - Guoyin Wang:
Algebra view and information view of rough sets theory. 200-207
Data Mining and Knowledge Discovery Technology: Applications I
- Steffen Brückner, Stephan Rudolph:
Knowledge discovery in scientific data using hierarchical modeling in dimensional analysis. 208-217 - John F. Gilmore, Michael A. Pagels, Justin Palk:
Asymmetric threat data mining and knowledge discovery. 218-228 - Shusaku Tsumoto:
Medical knowledge discovery in hospital information systems. 229-237
Data Mining and Knowledge Discovery Technology: Applications II
- John F. Gilmore, Michael A. Pagels, Justin Palk:
Multimedia agent monitoring and assessment system. 238-245 - Victor F. Dailyudenko:
Fractal and multidimensional analysis of data from delay complex systems. 246-257 - John F. Gilmore, Michael A. Pagels, Justin Palk:
Project X: competitive intelligence data mining and analysis. 258-266 - Andrew Kusiak:
Decomposition in data mining: a medical case study. 267-278
Association Rules and Time Series Analysis
- Ishwar K. Sethi, Ioana L. Coman, Daniela Stan:
Mining association rules between low-level image features and high-level concepts. 279-290 - Alaaeldin Hafez:
Association mining of dependency between time series. 291-301 - Jong P. Yoon, Yixin Luo, Junghyun Nam:
Bitmap approach to trend clustering for prediction in time series databases. 302-312 - Mo Wang, Guang Rong, S. Y. Liao:
Fuzzy-logic-based method for chaotic time series prediction. 313-322 - Sayee Sumathi, S. N. Sivanandam, Suresh Babu:
Multichannel art network with rule extraction: as a data mining tool. 323-
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