Industrial Papers (Invited)
Data Mining as an Automated Service
Trends and Challenges in the Industrial Applications of KDD
Stream Mining I
Finding Event-Oriented Patterns in Long Temporal Sequences
Mining Frequent Episodes for Relating Financial Events and Stock Trends
Graph Mining
An Efficient Algorithm of Frequent Connected Subgraph Extraction
Classifier Construction by Graph-Based Induction for Graph-Structured Data
Clustering I
Comparison of the Performance of Center-Based Clustering Algorithms
Automatic Extraction of Clusters from Hierarchical Clustering Representations
Text Mining
Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information
Extracting Shared Topics of Multiple Documents
An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition
A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data
Bio Mining
Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules
Predicting Protein Structural Class from Closed Protein Sequences
Learning Rules to Extract Protein Interactions from Biomedical Text
Predicting Protein Interactions in Human by Homologous Interactions in Yeast
Web Mining
Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation
A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules
A Markovian Approach for Web User Profiling and Clustering
Extracting User Interests from Bookmarks on the Web
Stream Mining II
Mining Frequent Instances on Workflows
Real Time Video Data Mining for Surveillance Video Streams
Distinguishing Causal and Acausal Temporal Relations
Bayesian Networks
Online Bayes Point Machines
Exploiting Hierarchical Domain Values for Bayesian Learning
A New Restricted Bayesian Network Classifier
Clustering II
AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets
Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus
An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data
Association Rules I
Enhancing SWF for Incremental Association Mining by Itemset Maintenance
Reducing Rule Covers with Deterministic Error Bounds
Evolutionary Approach for Mining Association Rules on Dynamic Databases
Semi-structured Data Mining
Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining
An Integrated System of Mining HTML Texts and Filtering Structured Documents
A New Sequential Mining Approach to XML Document Similarity Computation
Classification I
Optimization of Fuzzy Rules for Classification Using Genetic Algorithm
Fast Pattern Selection for Support Vector Classifiers
Averaged Boosting: A Noise-Robust Ensemble Method
Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule
Data Analysis
HOT: Hypergraph-Based Outlier Test for Categorical Data
A Method for Aggregating Partitions, Applications in K.D.D.
Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding
Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data
Association Rules II
Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube
Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining
Mining Open Source Software (OSS) Data Using Association Rules Network
Parallel FP-Growth on PC Cluster
Feature Selection
Active Feature Selection Using Classes
Electricity Based External Similarity of Categorical Attributes
Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers
Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach
Stream Mining III
Considering Correlation between Variables to Improve Spatiotemporal Forecasting
Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach
When to Update the Sequential Patterns of Stream Data?
Clustering III
A New Clustering Algorithm for Transaction Data via Caucus
DBRS: A Density-Based Spatial Clustering Method with Random Sampling
Optimized Clustering for Anomaly Intrusion Detection
Classification II
Finding Frequent Subgraphs from Graph Structured Data with Geometric Information and Its Application to Lossless Compression
Upgrading ILP Rules to First-Order Bayesian Networks
A Clustering Validity Assessment Index.