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Discovery Science [electronic resource] :7th International Conference, DS 2004, Padova, Italy, October 2-5, 2004. Proceedings /

Contributor(s): Suzuki, Einoshin [editor.] | Arikawa, Setsuo [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 3245Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.Description: XII, 430 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540302148.Subject(s): Philosophy | Philosophy and science | Database management | Information storage and retrieval | Artificial intelligence | Application software | Philosophy | Philosophy of Science | Artificial Intelligence (incl. Robotics) | Database Management | Information Storage and Retrieval | Computer Appl. in Administrative Data Processing | Computer Appl. in Social and Behavioral SciencesOnline resources: Click here to access online
Contents:
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.
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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.

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