Active Data Mining
Agrawal, Rakesh and Psaila, Giuseppe; IBM Almaden Research Center
STAR: A General Architecture for the Support of Distortion Oriented Displays
Anderson, P., Smith, R., and Zhang, Z.; Monash University, Australia
Learning First Order Logic Rules With A Genetic Algorithm
Augier, S., Venturini, G., and Kodratoff, Y.; University De Paris-Sud, France
Discovery Of Functional Dependencies By Independencies
Bell, Siegfried; University Dortmund, Germany
Intelligent Instruments: Discovering How To Turn Spectral Data Into Information
Buntine, Wray L. and Patel, Tarang; NASA Ames Research Center
Learning Arbiter And Combiner Trees From Partitioned Data For
Scaling Machine Learning
Chan, Philip K. and Stolfo, Salvatore J.; Columbia University
Designing Neural Networks From Statistical Models:
A New Approach To Data Exploration
Ciampi, Antonio and Lechevallier, Y.; Mcgill University and INRIA-R, France
Capacity And Complexity Control In Predicting The Spread
Between Borrowing And Lending Interest Rates
Cortes, C., Hoover, D., Drucker, H., and Vapnik, V.; AT&T Bell Laboratories
Limits On Learning Machine Accuracy Imposed By Data Quality
Cortes, C., Jackel, L.D., and Chiang, W-P.; AT&T Bell Laboratories
Experience With Applying A Data Miner To Heterogeneous Schema Integration
Dao, Son and Perry, Brad; Hughes Research Laboratories
Exploiting Upper Approximation In The Rough Set Methodology
Deogun, J.S., Raghavan, V.V., and Sever, H.;
University Of Nebraska at Lincoln and University of Southwestern Louisiana
Analyzing The Benefits Of Domain Knowledge In Substructure Discovery
Djoko, S., Cook, D.J., and Holder, L.B.; University Of Texas at Arlington
Knowledge Discovery in A Water Quality Database
Dzeroski, Saso and Grbovic, J.; Jozef Stefan Institute, Slovenia
A Statistical Perspective On Knowledge Discovery In Databases
Elder, John; Rice University and Pregibon, Daryl; AT&T Bell Laboratories
A Database Interface For Clustering In Large Spatial Databases
Ester, M., Kriegel, H-P., and Xu, X.; University Of Munich, Germany
Knowledge Discovery In Telecommunication Services Data Using Bayesian Network Models
Ezawa, Kazuo J. and Norton, Steve; AT&T Bell Laboratories
Data Mining For Loan Evaulation At ABN AMRO: A Case Study
Feelders, A.J., le Loux, A.J.F., and van't Zand, J.W.;
University Of Twente, The Netherlands and ABN AMRO Bank, The Netherlands
Knowledge Discovery in Texts (KDT)
Feldman, Ronen and Dagan, Ido; Bar-Ilan University, Israel
Iterative Optimization And Simplification Of Hierarchical Clusterings
Fisher, Doug; Vanderbilt University
Structured And Unstructured Induction With EDAGs
Gaines, Brian R. University Of Calgary, Canada
Available Technology For Discovering Causal Relations,
Constructing Causal Models And Building Bayes Nets: The Tetrad II Program
Glymour, Clark; Carnegie Mellon University
Restructuring Databases for Knowledge Discovery by
Consolidation and Link Formation
Goldberg, H.G. and Senator, T.E.; U.S. Department of the Treasury
Are We Losing Accuracy While Gaining Confidence In Induced Rules -
An Assessment Of PrIL
Gur-Ali, F. Ozden and Wallace, W.A.; GE Corporate Research & Development
Discriminant Adaptive Nearest Neighbor Classification
Hastie, Trevor and Tibshirani, Robert; Stanford University
A Perspective On Databases And Data Mining
Holsheimer, M., and Kersten, M.; CWI, The Netherlands and
Mannila, H., and Toivonen, H.; University of Helsinki, Finland
Estimating The Robustness Of Discovered Knowledge
Hsu, Chun-Nan and Knoblock, Craig A.; University Of Southern California
Rough Sets Similarity-Based Learning From Databases
Hu, Xiaohua and Cercone, N. University Of Regina Canada
Efficient Algorithms For Attribute-Oriented Induction
Hwang, Hoi-Yee and Fu, Ada Wai-Chee; Chinese University Of Hong Kong
Robust Decision Trees: Removing Outliers In Databses
John, George H.; Stanford University
Conceptual Clustering In Structured Databases: A Practical Approach
Ketterlin, A., Gancarski, P., and Korczak, J.J.; Univ. Louis Pasteur, France
Anonymization Techniques For Knowledge Discovery In Databases
Kloesgen, Willi; GMD, Germany
Feature Subset Selection Using The Wraper Model:
Overfitting And Dynamic Search Space Topology
Kohavi, Ron and Sommerfield, D.; Stanford University
Exploiting Visualization In Knowledge Discovery
Lee, Hing-Yan, Ong, Hwee-Leng, and Quek, Lee-Hian; Info. Tech. Inst. Singapore
Knowledge-Based Scientific Discovery In Geological Databases
Li, Cen and Biswas, Gautam; Vanderbilt University
Discovering Frequent Episodes In Sequences
Mannila, H., Toivonen, H., and Verkamo, A.I.; University Of Helsinki, Finland
MDL-Based Decision Tree Pruning
Mehta, M., Rissanen, J., and Agrawal, R.; IBM Almaden Research Center
Decision Tree Induction: How Effective Is The Greedy Heuristic?
Murthy, S.K. and Salzberg, S.; Johns Hopkins University
An Iterative-Improvement Approach For The Discretization Of Numeric
Attributes In Bayesian Classifiers
Pazzani, Michael; University of California at Irvine
Using Multidimensional Projection To Discover Relations In Attribute-Based Data
Perez, Eduardo and Rendell, L.A.; Beckman Institute, University Of Illinois
Compression-Based Evaluation Of Partial Determinations
Pfahringer, B. and Kramer, S.; Austrian Research Institute For AI, Austria
Knowledge Discovery From Multiple Databases
Ribeiro, J.S., Kaufman, K.A., and Kerschberg, L.; George Mason University
Discovering Enrollment Knolwedge In University Databases
Sanjeev, Arun and Zytkow, J.M.; Wichita State University
Extracting Support Data For A Given Task
Schoelkopf, B., Burges, C., and Vapnik, V.; AT&T Bell Laboratories
Feature Extraction For Massive Data Mining
Seshadri, V., Weiss, S.M., and Sasisekharan, R.; AT&T Bell Laboratories
Using Rough Sets As Tools For Knowledge Discovery
From Large Relational Databases
Shan, N., Ziarko, W., Hamilton, H.J., and Cercone, N.; Univ. Of Regina, Canada
Data Surveying: Foundations Of An Inductive Query Language
Siebes, Arno; CWI, The Netherlands
On Subjective Measures Of Interestingness In Knowledge Discovery
Silberschatz, Avi; AT&T Bell Laboratories and
Tuzhilin, Alexander; New York University
Using Recon For Data Cleaning
Simoudis, Evangelos; IBM Almaden Research Center and
Livezey, Brian and Kerber, Randy; Lockheed Palo Alto Research Laboratories
Discovery Of Concurrent Data Models From Experimental Tables:
A Rough Set Approach
Skowron, Andrzej and Suraj, Zbigniew; Warsaw University, Poland
Learning Bayesian Networks From Data
Spirtes, Peter; Carnegie Mellon University
Fast Spatio-Temporal Data Mining From Large Geophysical Datasets
Stolorz, Paul, et al.; Jet Propulsion Laboratory, California Inst. of Tech.
Accelerated Quantification Of Bayesian Networks With Incomplete Data
Thiesson, Bo; Aalborg University, Denmark
Automated Selection Of Rule Induction Methods Based On Recursive Iteration
Of Resampling Methods And Multiple Statistical Testing
Tsumoto, Shusaku and Tanaka, Hiroshi; Tokyo Medical & Dental University, Japan
Automated Discovery Of Functional Components Of Proteins From Amino-Acid
Sequences Based On Rough Sets And Change Of Representation
Tsumoto, Shusaku and Tanaka, Hiroshi; Tokyo Medical & Dental University, Japan
Fuzzy Interpretation Of Induction Results
Wu, Xindong and Mahlen, Petter; Monash University, Australia
Resource and Knowledge Discovery in Global Information Systems:
A Preliminary Design and Experiment
Zaiane, Osmar R. and Han, Jiawei; Simon Fraser University, Canada
Toward Multi-Strategy And Cooperative Discovery System
Zhong, Ning and Ohsuga, Setsuo; The University Of Tokyo, Japan