icdm 2002 论文列表Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 9-12 December 2002, Maebashi City, Japan. |
Demand Forecasting by the Neural Network with Discrete Fourier Transform.
Experimentation and Self Learning in Continuous Database Marketing.
Visually Mining Web User Clickpaths.
Mining Optimal Actions for Profitable CRM.
Discovery of Interesting Association Rules from Livelink Web Log Data.
Mining Online Users? Access Records for Web Business Intelligence.
webSPADE: A Parallel Sequence Mining Algorithm to Analyze Web Log Data.
Telecommunications Strategic Marketing - KDD and Economic Modeling.
Adaptive Parallel Sentences Mining from Web Bilingual News Collection.
Mining Surveillance Video for Independent Motion Detection.
Clustering Spatial Data when Facing Physical Constraints.
Mining Genes in DNA Using GeneScout.
FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences.
InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties.
gSpan: Graph-Based Substructure Pattern Mining.
Mixtures of ARMA Models for Model-Based Time Series Clustering.
Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification.
A Comparative Study of RNN for Outlier Detection in Data Mining.
An Incremental Approach to Building a Cluster Hierarchy.
Delta B+ Tree: Indexing 3D Point Sets for Pattern Discovery.
Concept Tree Based Clustering Visualization with Shaded Similarity Matrices.
Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences.
Mining Associated Implication Networks: Computational Intermarket Analysis.
Exploring the Parameter State Space of Stacking.
On Incorporating Subjective Interestingness Into the Mining Process.
Exploring Interestingness Through Clustering: A Framework.
Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock Patient Data.
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks.
Toward XML-Based Knowledge Discovery Systems.
Progressive and Interactive Analysis of Event Data Using Event Miner.
Improving Medical/Biological Data Classification Performance by Wavelet Preprocessing.
Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns.
A Personalized Music Filtering System Based on Melody Style Classification.
Learning from Order Examples.
On Evaluating Performance of Classifiers for Rare Classes.
Considering Both Intra-Pattern and Inter-Pattern Anomalies for Intrusion Detection.
Implementation of a Least Fixpoint Operator for Fast Mining of Relational Databases.
Association Analysis with One Scan of Databases.
Mining A Set of Coregulated RNA Sequences.
Ensemble Modeling Through Multiplicative Adjustment of Class Probability.
Wavelet Based UXO Detection.
An Algebraic Approach to Data Mining: Some Examples.
ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets.
Reviewing RELIEF and its Extensions: A new Approach for Estimating Attributes considering high-correlated Features.
Extraction Techniques for Mining Services from Web Sources.
Generating an informative cover for association rules.
Optimal Projections of High Dimensional Data.
A New Algorithm for Learning Parameters of a Bayesian Network from Distributed Data.
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods.
SmartMiner: A Depth First Algorithm Guided by Tail Information for Mining Maximal Frequent Itemsets.
On Active Learning for Data Acquisition.
A Comparison Study on Algorithms for Incremental Update of Frequent Sequences.
Using Category-Based Adherence to Cluster Market-Basket Data.
Heterogeneous Learner for Web Page Classification.
Adaptive Ripple Down Rules Method based on Minimum Description Length Principle.
Mining Case Bases for Action Recommendation.
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns.
Adapting Information Extraction Knowledge For Unseen Web Sites.
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming.
Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning.
Mining Associations by Pattern Structure in Large Relational Tables.
Predicting Rare Events In Temporal Domains.
Estimating the number of segments in time series data using permutation tests.
Computing Frequent Graph Patterns from Semistructured Data.
TreeFinder: a First Step towards XML Data Mining.
On the Mining of Substitution Rules for Statistically Dependent Items.
A Self-Organizing Map with Expanding Force for Data Clustering and Visualization.
Objective-Oriented Utility-Based Association Mining.
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint.
On a Capacity Control Using Boolean Kernels for the Learning of Boolean Functions.
Mining Significant Associations in Large Scale Text Corpora.
User-directed Exploration of Mining Space with Multiple Attributes.
Automatic Web Page Classification in a Dynamic and Hierarchical Way.
On Computing Condensed Frequent Pattern Bases.
Mining Motifs in Massive Time Series Databases.
Efficient Discovery of Common Substructures in Macromolecules.
Efficient Progressive Sampling for Association Rules.
A new implementation technique for fast Spectral based document retrieval systems.
Adaptive and Resource-Aware Mining of Frequent Sets.
PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series.
Mining Association Rules from Stars.
Multivariate supervised discretization, a neighborhood graph approach.
Feature Selection Algorithms: A Survey and Experimental Evaluation.
Employing Discrete Bayes Error rate for discretization and feature selection.
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets.
Attribute (Feature) Completion - The Theory of Attributes from Data Mining Prospect.
Linear Causal Model Discovery Using the MML criterion.
Adapting classification rule induction to subgroup discovery.
Discovering Frequent Geometric Subgraphs.
Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification.
Convex Hull Ensemble Machine.
A Formal Model for User Preference.
Mining Generalized Association Rules Using Pruning Techniques.
Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine.
Mining Top-K Frequent Closed Patterns without Minimum Support.
Phrase-based Document Similarity Based on an Index Graph Model.
Using Text Mining to Infer Semantic Attributes for Retail Data Mining.
Discriminative Category Matching: Efficient Text Classification for Huge Document Collections.
A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets.
Unsupervised Clustering of Symbol Strings and Context Recognition.
Progressive Modeling.
Modal-style operators in qualitative data analysis.
Adaptive dimension reduction for clustering high dimensional data.
Cluster merging and splitting in hierarchical clustering algorithms.
Iterative Clustering of High Dimensional Text Data Augmented by Local Search.
A Theory of Inductive Query Answering.
Feature Selection for Clustering - A Filter Solution.
Speed-up Iterative Frequent Itemset Mining with Constraint Changes.
Unsupervised Segmentation of Categorical Time Series into Episodes.
Using functional PCA for cardiac motion exploration.
Evolutionary Time Series Segmentation for Stock Data Mining.
Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach.
Learning with Progressive Transductive Support Vector Machine.
Mining General Temporal Association Rules for Items with Different Exhibition Periods.
Mining Molecular Fragments: Finding Relevant Substructures of Molecules.
High Performance Data Mining Using the Nearest Neighbor Join.
A Lazy Approach to Pruning Classification Rules.
Online Algorithms for Mining Semi-structured Data Stream.
Text Document Categorization by Term Association.
Investigative Profiling with Computer Forensic Log Data and Association Rules.
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.