Advances in Knowledge Discovery and Data Mining 7th Pacific-Asia Conference, PAKDD 2003. Seoul, Korea, April 30 - May 2, 2003, Proceedings /

The 7th Paci?c Asia Conference on Knowledge Discovery and Data Mining (PAKDD) was held from April 30 to May 2, 2003 in the Convention and Ex- bition Center (COEX), Seoul, Korea. The PAKDD conference is a major forum for academic researchers and industry practitioners in the Paci?c Asia region to sha...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Whang, Kyu-Young (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jeon, Jongwoo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Shim, Kyuseok (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Srivatava, Jaideep (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Έκδοση:1st ed. 2003.
Σειρά:Lecture Notes in Artificial Intelligence ; 2637
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.