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ORCIDKDD Workshop 1994: Seattle, Washington, USA
- Usama M. Fayyad, Ramasamy Uthurusamy:
Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, Seattle, Washington, USA, July 1994. Technical Report WS-94-03. AAAI Press 1994, ISBN 0-929280-73-3
Foundational Issues and Core Problems
- Ronald J. Brachman, Tej Anand:
The Process of Knowledge Discovery in Databases: A First Sketch. KDD Workshop 1994: 1-12 - Brian R. Gaines:
Exception Dags as Knowledge Structures. KDD Workshop 1994: 13-24 - Gregory Piatetsky-Shapiro, Christopher J. Matheus:
The Interingness of Deviations. KDD Workshop 1994: 25-36 - Evangelos Simoudis, Brian Livezey, Randy Kerber:
Integrating Inductive and Deductive Reasoning for Database Mining. KDD Workshop 1994: 37-48
Statistical and Probabilistic Models
- Robert St. Amant, Paul R. Cohen:
Toward the Integration of Exploration and Modeling in a Planning Framework. KDD Workshop 1994: 49-60 - Inderpal S. Bhandari, Shriram Biyani:
On the Role of Statistical Significance in Exploratory Data Analysis. KDD Workshop 1994: 61-72 - Dawn E. Gregory, Paul R. Cohen:
Two Algorithms for Inducing Causal Models from Data. KDD Workshop 1994: 73-84 - David Heckerman, Dan Geiger, David Maxwell Chickering:
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. KDD Workshop 1994: 85-96 - Arno Siebes:
Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases. KDD Workshop 1994: 97-108 - Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona:
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. KDD Workshop 1994: 109-120 - Shusaku Tsumoto, Hiroshi Tanaka:
Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods. KDD Workshop 1994: 121-132
Concept Discovery
- Wesley W. Chu, Kuorong Chiang:
Abstraction of High Level Concepts from Numerical Values in Databases. KDD Workshop 1994: 133-144 - Isabelle Guyon, Nada Matic, Vladimir Vapnik:
Discovering Informative Patterns and Data Cleaning. KDD Workshop 1994: 145-156 - Jiawei Han, Yongjian Fu:
Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases. KDD Workshop 1994: 157-168 - Lawrence B. Holder, Diane J. Cook, Surnjani Djoko:
Substucture Discovery in the SUBDUE System. KDD Workshop 1994: 169-180 - Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994: 181-192 - Molly Troxel, Kim Swarm, Robert Zembowicz, Jan M. Zytkow:
From Law-Like Knowledge to Concept Hierarchies in Data. KDD Workshop 1994: 193-204 - Hiroshi Tsukimoto:
The Discovery of Logical Propositions in Numerical Data. KDD Workshop 1994: 205-216
Integrated and Interactive Systems
- Marcel Holsheimer, Martin L. Kersten:
Architectural Support for Data Mining. KDD Workshop 1994: 217-228 - Ibrahim F. Imam, Ryszard S. Michalski:
From Facts to Rules to Decisions: An Overview of the FRD-1 System. KDD Workshop 1994: 229-236 - Mikhail V. Kiselev:
PolyAnalyst - A Machine Discovery System Inferring Functional Programs. KDD Workshop 1994: 237-250 - Willi Klösgen:
Exploration of Simulation Experiments by Discovery. KDD Workshop 1994: 251-262 - Wim Van Laer, Luc Dehaspe, Luc De Raedt:
Applications of a Logical Discovery Engine. KDD Workshop 1994: 263-274 - Jean-Daniel Zucker, Vincent Corruble, J. Thomas, Geber L. Ramalho:
DICE: A Discovery Environment Integrating Inductive Bias. KDD Workshop 1994: 275-286
Database-Specific Techniques
- Sarabjot S. Anand, David A. Bell, John G. Hughes:
Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization. KDD Workshop 1994: 287-298 - Roger H. L. Chiang, Terence M. Barron, Veda C. Storey:
Extracting Domain Semantics for Knowledge Discovery in Relational Databases. KDD Workshop 1994: 299-310 - Chun-Nan Hsu, Craig A. Knoblock:
Rule Induction for Semantic Query Optimization. KDD Workshop 1994: 311-322 - Xiaohua Hu, Nick Cercone, Jinshi Xie:
Learning Data Trend Regularities From Databases in a Dynamic Environment. KDD Workshop 1994: 323-334 - Wei-Min Shen, Bharat G. Mitbander, KayLiang Ong, Carlo Zaniolo:
Using Metagueries to Integrate Inductive Learning and Deductive Database Technology. KDD Workshop 1994: 335-346
Methodology and Application Issues
- John M. Aronis, Foster J. Provost:
Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning. KDD Workshop 1994: 347-358 - Donald J. Berndt, James Clifford:
Using Dynamic Time Warping to Find Patterns in Time Series. KDD Workshop 1994: 359-370 - Johannes Fürnkranz:
A Comparison of Pruning Methods for Relational Concept Learning. KDD Workshop 1994: 371-382 - Kristian J. Hammond, Robin D. Burke, Kathryn Schmitt:
A Case-Based Approach to Knowledge Navigation. KDD Workshop 1994: 383-394 - T. J. Monk, R. S. Mitchell, L. A. Smith, G. Holmes:
Geometric Comparison of Clarifications and Rule Sets. KDD Workshop 1994: 395-406
Applications
- Chidanand Apté, Se June Hong:
Predicting Equity Returns from Securities Data with Minimal Rule Generation. KDD Workshop 1994: 407-418 - Marek J. Druzdze, Clark Glymour:
Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges. KDD Workshop 1994: 419-430 - Kenneth A. Kaufman:
Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools. KDD Workshop 1994: 431-440 - Christopher J. Matheus, Gregory Piatetsky-Shapiro, Dwight McNeill:
An Application of KEFM to the Analysis of Healthcare Information. KDD Workshop 1994: 441-452 - Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss:
Proactive Network Maintenance Using Machine Learning. KDD Workshop 1994: 453-462
Machine Discovery Terminology
- Willi Klösgen, Jan M. Zytkow:
Machine Discovery Terminology. KDD Workshop 1994: 463-
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