Knowledge Discovery and Data Mining. Current Issues and New Applications Current Issues and New Applications: 4th Pacific-Asia Conference, PAKDD 2000 Kyoto, Japan, April 18-20, 2000 Proceedings /

The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000) was held at the Keihanna-Plaza, Kyoto, Japan, April 18 - 20, 2000. PAKDD 2000 provided an international forum for researchers and applica­ tion developers to share their original research results and practical dev...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Terano, Takao (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Liu, Huan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Chen, Arbee L.P (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
Έκδοση:1st ed. 2000.
Σειρά:Lecture Notes in Artificial Intelligence ; 1805
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Keynote Speeches and Invited Talk
  • Perspective on Data Mining from Statistical Viewpoints
  • Inductive Databases and Knowledge Scouts
  • Hyperlink-Aware Mining and Analysis of the Web
  • Data Mining Theory
  • Polynomial Time Matching Algorithms for Tree-Like Structured Patterns in Knowledge Discovery
  • Fast Discovery of Interesting Rules
  • Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
  • Minimum Message Length Criterion for Second-Order Polynomial Model Discovery
  • Frequent Itemset Counting Across Multiple Tables
  • Frequent Closures as a Concise Representation for Binary Data Mining
  • An Optimization Problem in Data Cube System Design
  • Exception Rule Mining with a Relative Interestingness Measure
  • Feature Selection and Transformation
  • Consistency Based Feature Selection
  • Feature Selection for Clustering
  • A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases
  • Missing Value Estimation Based on Dynamic Attribute Selection
  • On Association, Similarity and Dependency of Attributes
  • Clustering
  • Prototype Generation Based on Instance Filtering and Averaging
  • A Visual Method of Cluster Validation with Fastmap
  • COE: Clustering with Obstacles Entities A Preliminary Study
  • Combining Sampling Technique with DBSCAN Algorithm for Clustering Large Spatial Databases
  • Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases
  • Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble Averaging
  • Application of Data Mining
  • Attribute Transformations on Numerical Databases
  • Efficient Detection of Local Interactions in the Cascade Model
  • Extracting Predictors of Corporate Bankruptcy: Empirical Study on Data Mining Methods
  • Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets
  • Discovering Protein Functional Models Using Inductive Logic Programming
  • Mining Web Transaction Patterns in an Electronic Commerce Environment
  • Association Rules and Related Topics
  • Making Use of the Most Expressive Jumping Emerging Patterns for Classification
  • Mining Structured Association Patterns from Databases
  • Association Rules
  • Density-Based Mining of Quantitative Association Rules
  • AViz: A Visualization System for Discovering Numeric Association Rules
  • Discovering Unordered and Ordered Phrase Association Patterns for Text Mining
  • Using Random Walks for Mining Web Document Associations
  • Induction
  • A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction Method
  • Scaling Up a Boosting-Based Learner via Adaptive Sampling
  • Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
  • Robust Ensemble Learning for Data Mining
  • Interactive Visualization in Mining Large Decision Trees
  • VQTree: Vector Quantization for Decision Tree Induction
  • Making Knowledge Extraction and Reasoning Closer
  • Discovery of Relevant Weights by Minimizing Cross-Validation Error
  • Efficient and Comprehensible Local Regression
  • Information Granules for Spatial Reasoning
  • Text, Web, and Graph Mining
  • Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive Architecture
  • Mining Access Patterns Efficiently from Web Logs
  • A Comparative Study of Classification Based Personal E-mail Filtering
  • Extension of Graph-Based Induction for General Graph Structured Data
  • Text-Source Discovery and GlOSS Update in a Dynamic Web
  • Extraction of Fuzzy Clusters from Weighted Graphs
  • Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms.