SIGKDD(KDD) 1996 论文列表
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, Oregon, USA.
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Efficient Implementation of Data Cubes Via Materialized Views.
Harnessing the Human in Knowledge Discovery.
Performing Effective Feature Selection by Investigating the Deep Structure of the Data.
Reverse Engineering Databases for Knowledge Discovery.
Efficient Search for Strong Partial Determinations.
Static Versus Dynamic Sampling for Data Mining.
Inferring Hierarchical Clustering Structures by Deterministic Annealing.
Data Mining with Sparse and Simplified Interaction Selection.
Exploiting Background Knowledge in Automated Discovery.
Pattern Discovery in Temporal Databases: A Temporal Logic Approach.
Extraction of Spatial Proximity Patterns by Concept Generalization.
Mining Associations in Text in the Presence of Background Knowledge.
RITIO - Rule Induction Two In One.
Learning Limited Dependence Bayesian Classifiers.
SE-Trees Outperform Decision Trees in Noisy Domains.
Induction of Condensed Determinations.
Data Mining and Tree-Based Optimization.
Efficient Specific-to-General Rule Induction.
Growing Simpler Decision Trees to Facilitate Knowledge Discovery.
Analysing Binary Associations.
Maintenance of Discovered Knowledge: A Case in Multi-Level Association Rules.
Deriving Queries from Results Using Genetic Programming.
A Genetic Algorithm-Based Approach to Data Mining.
Undiscovered Public Knowledge: A Ten-Year Update.
Mining Entity-Identification Rules for Database Integration.
Developing Tightly-Coupled Data Mining Applications on a Relational Database System.
Representing Discovered Patterns Using Attributed Hypergraph.
Interactive Knowledge Discovery from Marketing Questionnaire Using Simulated Breeding and Inductive Learning Methods.
Exceptional Knowledge Discovery in Databases Based on Information Theory.
Discovering Classification Knowledge in Databases Using Rough Sets.
The Field Matching Problem: Algorithms and Applications.
Evaluating the Interestingness of Characteristic Rules.
DataMine: Application Programming Interface and Query Language for Database Mining.
DBMiner: A System for Mining Knowledge in Large Relational Databases.
The Quest Data Mining System.
Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration.
A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System.
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.
Mining Knowledge in Noisy Audio Data.
Extensibility in Data Mining Systems.
Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space.
Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid.
A Comparison of Approaches for Maximizing Business Payoff of Prediction Models.
Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract).
An Empirical Test of the Weighted Effect Approach to Generalized Prediction Using Recursive Neural Nets.
Predictive Data Mining with Finite Mixtures.
Planning Tasks for Knowledge Discovery in Databases; Performing Task-Oriented User-Guidance.
A Linear Method for Deviation Detection in Large Databases.
Automated Pattern Mining with a Scale Dimension.
Metapattern Generation for Integrated Data Mining.
Discovering Generalized Episodes Using Minimal Occurrences.
Imputation of Missing Data Using Machine Learning Techniques.
Harnessing Graphical Structure in Markov Chain Monte Carlo Learning.
Clustering Using Monte Carlo Cross-Validation.
Rethinking the Learning of Belief Network Probabilities.
Error-Based and Entropy-Based Discretization of Continuous Features.
Discovery of Relevant New Features by Generating Non-Linear Decision Trees.
Learning from Biased Data Using Mixture Models.
Linear-Time Rule Induction.
An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications.
Knowledge Discovery and Data Mining: Towards a Unifying Framework.
Detecting Early Indicator Cars in an Automotive Database: A Multi-Strategy Approach.
Automated Discovery of Active Motifs in Multiple RNA Secondary Structures.
Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets.
Data Mining and Model Simplicity: A Case Study in Diagnosis.
KDD for Science Data Analysis: Issues and Examples.
Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques.
Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data.
Scalable Exploratory Data Mining of Distributed Geoscientific Data.
Parallel Halo Finding in N-Body Cosmology Simulations.
Knowledge Discovery in RNA Sequence Families of HIV Using Scalable Computers.
Local Induction of Decision Trees: Towards Interactive Data Mining.
Combining Data Mining and Machine Learning for Effective User Profiling.
Sharing Learned Models among Remote Database Partitions by Local Meta-Learning.
