Suzuki / Arikawa Discovery Science

7th International Conference, DS 2004, Padova, Italy, October 2-5, 2004. Proceedings
2004
ISBN: 978-3-540-30214-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 3245, 430 Seiten, eBook

Reihe: Lecture Notes in Computer Science

Zielgruppe

Research

Autoren/Hrsg.

Suzuki, Einoshin

Arikawa, Setsuo

Inhaltsverzeichnis

Long Papers.- Predictive Graph Mining.- An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases.- Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance.- Mining Noisy Data Streams via a Discriminative Model.- CorClass: Correlated Association Rule Mining for Classification.- Maximum a Posteriori Tree Augmented Naive Bayes Classifiers.- Improving Prediction of Distance-Based Outliers.- Detecting Outliers via Logical Theories and Its Data Complexity.- Fast Hierarchical Clustering Algorithm Using Locality-Sensitive Hashing.- Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach.- Constructive Inductive Learning Based on Meta-attributes.- Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection.- Extracting Positive Attributions from Scientific Papers.- Enhancing SVM with Visualization.- An Associative Information Retrieval Based on the Dependency of Term Co-occurrence.- On the Convergence of Incremental Knowledge Base Construction.- Privacy Problems with Anonymized Transaction Databases.- A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data.- Using the Computer to Study the Dynamics of the Handwriting Processes.- Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions.- Regular Papers.- Optimal Discovery of Subword Associations in Strings.- Tiling Databases.- A Clustering of Interestingness Measures.- Extracting Minimal and Closed Monotone DNF Formulas.- Characterizations of Multivalued Dependencies and Related Expressions.- Outlier Handling in the Neighbourhood-Based Learning of a Continuous Class.- A New Clustering Algorithm Based On Cluster Validity Indices.- An Efficient Rules Induction Algorithm for Rough Set Classification.- Analysing the Trade-Off Between Comprehensibility and Accuracy in Mimetic Models.- Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data.- Using WWW-Distribution of Words in Detecting Peculiar Web Pages.- DHT Facilitated Web Service Discovery Incorporating Semantic Annotation.- Discovering Relationships Among Catalogs.- Reasoning-Based Knowledge Extraction for Text Classification.- A Useful System Prototype for Intrusion Detection – Architecture and Experiments.- Discovery of Hidden Similarity on Collaborative Filtering to Overcome Sparsity Problem.- Seamlessly Supporting Combined Knowledge Discovery and Query Answering: A Case Study.- A Structuralist Approach Towards Computational Scientific Discovery.- Extracting Modal Implications and Equivalences from Cognitive Minds.