|
 |
|
ICDM - Regular Papers
|
|
On Effective Conceptual Indexing and Similarity Search in Text Data
Comparisons of Classification Methods for Screening Potential Compounds
Knowledge Discovery from Diagrammatically Represented Data
Integrating E-Commerce and Data Mining: Architecture and Challenges
Classification with Degree of Membership: A Fuzzy Approach
Provably Fast Training Algorithms for Support Vector Machines
Who Links to Whom: Mining Linkage between Web Sites
Better Rules, Few Features: A Semantic Approach to Selecting Features from Text
Significance Tests for Patterns in Continuous Data
Distributed Web Mining Using Bayesian Networks from Multiple Data Streams
A Hypergraph Based Clustering Algorithm for Spatial Data Sets
Efficient Determination of Dynamic Split Points in a Decision Tree
Efficient Yet Accurate Clustering
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering
Preprocessing Opportunities in Optimal Numerical Range Partitioning
Using Artificial Anomalies to Detect Unknown and Known Network Intrusions
Using Rule Sets to Maximize ROC Performance
A Synchronization Based Algorithm for Discovering Ellipsoidal Clusters in Large Datasets
Functional Trees for Classification
A Tight Upper Bound on the Number of Candidate Patterns
Efficiently Mining Maximal Frequent Itemsets
The DIAsDEM Framework for Converting Domain-Specific Texts into XML Documents with Data Mining Techniques
A Scalable Algorithm for Clustering Sequential Data
Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set
Automatic Topic Identification Using Webpage Clustering
Time Series Segmentation for Context Recognition in Mobile Devices
Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure
Mining Coverage-Based Fuzzy Rules by Evolutional Computation
An Efficient Fuzzy C-Means Clustering Algorithm
Using Rough Sets Theory and Database Operations to Construct a Good Ensemble of Classifiers for Data Mining Applications
Fuzzy Data Mining: Effect of Fuzzy Discretization
The Computational Complexity of High-Dimensional Correlation Search
Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements
An Agglomerative Hierarchical Clustering Using Partial Maximum Array and Incremental Similarity Computation Method
Distance Measures for Effective Clustering of ARIMA Time-Series
Mining Decision Trees from Data Streams in a Mobile Environment
An Online Algorithm for Segmenting Time Series
AINE: An Immunological Approach to Data Mining
Concise Representation of Frequent Patterns Based on Disjunction-Free Generators
Frequent Subgraph Discovery
Statistical Considerations in Learning from Data
Subject Classification in the Oxford English Dictionary
On Mining General Temporal Association Rules in a Publication Database
Preparations for Semantics-Based XML Mining
Mining Image Features for Efficient Query Processing
Mining the Smallest Association Rule Set for Predictions
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules
Analyzing the Interestingness of Association Rules from the Temporal Dimension
Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform
Closing the Loop: Heuristics for Autonomous Discovery
Anchor Text Mining for Translation of Web Queries
Mining Mutually Dependent Patterns
The EQ Framework for Learning Equivalence Classes of Bayesian Networks
Visualizing Association Mining Results through Hierarchical Clusters
Mining Constrained Association Rules to Predict Heart Disease
H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases
FARM: A Framework for Exploring Mining Spaces with Multiple Attributes
Neural Analysis of Mobile Radio Access Network
Discovery of Association Rules in Tabular Data
Theory and Applications of Attribute Decomposition
FlExPat: Flexible Extraction of Sequential Patterns
Interestingness PreProcessing
Data Analysis and Mining in Ordered Information Tables
LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint
Document Clustering and Cluster Topic Extraction in Multilingual Corpora
Hierarchical Text Classification and Evaluation
Web Cartography for Online State Promotion: An Algorithm for Clustering Web Resources
Maintenance of Sequential Patterns for Record Deletion
SSDT: A Scalable Subspace-Splitting Classifier for Biased Data
Meta-patterns: Revealing Hidden Periodic Patterns
Using Boosting to Simplify Classification Models
Interestingness, Peculiarity, and Multi-Database Mining
Return to ICDM session listing
DiSC'02 © 2003 Association for Computing Machinery |
