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3. 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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