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kdd | Knowledge Discovery and Data Mining (KDD)

  • 主办方 / 出版社:ACM
  • 方向:数据挖掘
  • CCF等级 / JCR分区:A类类
Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, Seattle, Washington, July 1994. Technical Report WS-94-03.
注意,当前年度会议可能有其他论文集合,点击查看
The Process of Knowledge Discovery in Databases: A First Sketch.

Ronald J. Brachman, Tej Anand

Exception Dags as Knowledge Structures.

Brian R. Gaines

The Interingness of Deviations.

Gregory Piatetsky-Shapiro, Christopher J. Matheus

Integrating Inductive and Deductive Reasoning for Database Mining.

Evangelos Simoudis, Brian Livezey, Randy Kerber

Toward the Integration of Exploration and Modeling in a Planning Framework.

Robert St. Amant, Paul R. Cohen

On the Role of Statistical Significance in Exploratory Data Analysis.

Inderpal S. Bhandari, Shriram Biyani

Two Algorithms for Inducing Causal Models from Data.

Dawn E. Gregory, Paul R. Cohen

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data.

David Heckerman, Dan Geiger, David Maxwell Chickering

Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases.

Arno Siebes

Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth.

Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona

Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods.

Shusaku Tsumoto, Hiroshi Tanaka

Abstraction of High Level Concepts from Numerical Values in Databases.

Wesley W. Chu, Kuorong Chiang

Discovering Informative Patterns and Data Cleaning.

Isabelle Guyon, Nada Matic, Vladimir Vapnik

Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases.

Jiawei Han, Yongjian Fu

Substucture Discovery in the SUBDUE System.

Lawrence B. Holder, Diane J. Cook, Surnjani Djoko

Efficient Algorithms for Discovering Association Rules.

Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo

From Law-Like Knowledge to Concept Hierarchies in Data.

Molly Troxel, Kim Swarm, Robert Zembowicz, Jan M. Zytkow

The Discovery of Logical Propositions in Numerical Data.

Hiroshi Tsukimoto

Architectural Support for Data Mining.

Marcel Holsheimer, Martin L. Kersten

From Facts to Rules to Decisions: An Overview of the FRD-1 System.

Ibrahim F. Imam, Ryszard S. Michalski

PolyAnalyst - A Machine Discovery System Inferring Functional Programs.

Mikhail V. Kiselev

Exploration of Simulation Experiments by Discovery.

Willi Klösgen

Applications of a Logical Discovery Engine.

Wim Van Laer, Luc Dehaspe, Luc De Raedt

DICE: A Discovery Environment Integrating Inductive Bias.

Jean-Daniel Zucker, Vincent Corruble, J. Thomas, Geber Ramalho

Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization.

Sarabjot S. Anand, David A. Bell, John G. Hughes

Extracting Domain Semantics for Knowledge Discovery in Relational Databases.

Roger H. L. Chiang, Terence M. Barron, Veda C. Storey

Rule Induction for Semantic Query Optimization.

Chun-Nan Hsu, Craig A. Knoblock

Learning Data Trend Regularities From Databases in a Dynamic Environment.

Xiaohua Hu, Nick Cercone, Jinshi Xie

Using Metagueries to Integrate Inductive Learning and Deductive Database Technology.

Wei-Min Shen, Bharat G. Mitbander, KayLiang Ong, Carlo Zaniolo

Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning.

John M. Aronis, Foster J. Provost

Using Dynamic Time Warping to Find Patterns in Time Series.

Donald J. Berndt, James Clifford

A Comparison of Pruning Methods for Relational Concept Learning.

Johannes Fürnkranz

A Case-Based Approach to Knowledge Navigation.

Kristian J. Hammond, Robin D. Burke, Kathryn Schmitt

Geometric Comparison of Clarifications and Rule Sets.

T. J. Monk, R. S. Mitchell, L. A. Smith, G. Holmes

Predicting Equity Returns from Securities Data with Minimal Rule Generation.

Chidanand Apté, Se June Hong

Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges.

Marek J. Druzdze, Clark Glymour

Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools.

Kenneth A. Kaufman

An Application of KEFM to the Analysis of Healthcare Information.

Christopher J. Matheus, Gregory Piatetsky-Shapiro, Dwight McNeill

Proactive Network Maintenance Using Machine Learning.

Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss

Machine Discovery Terminology.

Willi Klösgen, Jan M. Zytkow


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