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Data Warehousing and Knowledge Discovery [[electronic resource] ] : 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings / / edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß
Data Warehousing and Knowledge Discovery [[electronic resource] ] : 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings / / edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß
Edizione [1st ed. 2004.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Descrizione fisica 1 online resource (XIV, 412 p.)
Disciplina 005.74
Collana Lecture Notes in Computer Science
Soggetto topico Data structures (Computer science)
Database management
Information storage and retrieval
Application software
Computer communication systems
Artificial intelligence
Data Structures and Information Theory
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Computer Communication Networks
Artificial Intelligence
ISBN 3-540-30076-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Warehousing Design -- Conceptual Design of XML Document Warehouses -- Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses -- GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas -- Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses -- Knowledge Discovery Framework and XML Data Minig -- Novelty Framework for Knowledge Discovery in Databases -- Revisiting Generic Bases of Association Rules -- Mining Maximal Frequently Changing Subtree Patterns from XML Documents -- Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents -- Data Cubes and Queries -- Space-Efficient Range-Sum Queries in OLAP -- Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees -- Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding -- Multidimensional Schema and Data Aggregation -- An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses -- A Partial Pre-aggregation Scheme for HOLAP Engines -- Discovering Multidimensional Structure in Relational Data -- Inductive Databases and Temporal Rules -- Inductive Databases as Ranking -- Inductive Databases of Polynomial Equations -- From Temporal Rules to Temporal Meta-rules -- Industrial Track -- How Is BI Used in Industry?: Report from a Knowledge Exchange Network -- Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments -- Data Clustering -- Exploring Possible Adverse Drug Reactions by Clustering Event Sequences -- SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes -- Novel Clustering Approach that Employs Genetic Algorithm with New Representation Scheme and Multiple Objectives -- Data Visualization and Exploration -- Categorical Data Visualization and Clustering Using Subjective Factors -- Multidimensional Data Visual Exploration by Interactive Information Segments -- Metadata to Support Transformations and Data & Metadata Lineage in a Warehousing Environment -- Data Classification, Extraction and Interpretation -- Classification Based on Attribute Dependency -- OWDEAH: Online Web Data Extraction Based on Access History -- Data Mining Approaches to Diffuse Large B–Cell Lymphoma Gene Expression Data Interpretation -- Data Semantics -- Deriving Multiple Topics to Label Small Document Regions -- Deriving Efficient SQL Sequences via Read-Aheads -- Diversity in Random Subspacing Ensembles -- Association Rule Mining -- Partitioned Approach to Association Rule Mining over Multiple Databases -- A Tree Partitioning Method for Memory Management in Association Rule Mining -- Mining Interesting Association Rules for Prediction in the Software Project Management Area -- Mining Event Sequences -- PROWL: An Efficient Frequent Continuity Mining Algorithm on Event Sequences -- Algorithms for Discovery of Frequent Superset, Rather Than Frequent Subset -- Pattern Mining -- Improving Direct Counting for Frequent Itemset Mining -- Mining Sequential Patterns with Item Constraints -- Mining Borders of the Difference of Two Datacubes -- Mining Periodic Patterns in Sequence Data.
Record Nr. UNISA-996465385703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Data Warehousing and Knowledge Discovery : 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings / / edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß
Data Warehousing and Knowledge Discovery : 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings / / edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß
Edizione [1st ed. 2004.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Descrizione fisica 1 online resource (XIV, 412 p.)
Disciplina 005.74
Collana Lecture Notes in Computer Science
Soggetto topico Data structures (Computer science)
Database management
Information storage and retrieval
Application software
Computer communication systems
Artificial intelligence
Data Structures and Information Theory
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Computer Communication Networks
Artificial Intelligence
ISBN 3-540-30076-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Warehousing Design -- Conceptual Design of XML Document Warehouses -- Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses -- GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas -- Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses -- Knowledge Discovery Framework and XML Data Minig -- Novelty Framework for Knowledge Discovery in Databases -- Revisiting Generic Bases of Association Rules -- Mining Maximal Frequently Changing Subtree Patterns from XML Documents -- Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents -- Data Cubes and Queries -- Space-Efficient Range-Sum Queries in OLAP -- Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees -- Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding -- Multidimensional Schema and Data Aggregation -- An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses -- A Partial Pre-aggregation Scheme for HOLAP Engines -- Discovering Multidimensional Structure in Relational Data -- Inductive Databases and Temporal Rules -- Inductive Databases as Ranking -- Inductive Databases of Polynomial Equations -- From Temporal Rules to Temporal Meta-rules -- Industrial Track -- How Is BI Used in Industry?: Report from a Knowledge Exchange Network -- Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments -- Data Clustering -- Exploring Possible Adverse Drug Reactions by Clustering Event Sequences -- SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes -- Novel Clustering Approach that Employs Genetic Algorithm with New Representation Scheme and Multiple Objectives -- Data Visualization and Exploration -- Categorical Data Visualization and Clustering Using Subjective Factors -- Multidimensional Data Visual Exploration by Interactive Information Segments -- Metadata to Support Transformations and Data & Metadata Lineage in a Warehousing Environment -- Data Classification, Extraction and Interpretation -- Classification Based on Attribute Dependency -- OWDEAH: Online Web Data Extraction Based on Access History -- Data Mining Approaches to Diffuse Large B–Cell Lymphoma Gene Expression Data Interpretation -- Data Semantics -- Deriving Multiple Topics to Label Small Document Regions -- Deriving Efficient SQL Sequences via Read-Aheads -- Diversity in Random Subspacing Ensembles -- Association Rule Mining -- Partitioned Approach to Association Rule Mining over Multiple Databases -- A Tree Partitioning Method for Memory Management in Association Rule Mining -- Mining Interesting Association Rules for Prediction in the Software Project Management Area -- Mining Event Sequences -- PROWL: An Efficient Frequent Continuity Mining Algorithm on Event Sequences -- Algorithms for Discovery of Frequent Superset, Rather Than Frequent Subset -- Pattern Mining -- Improving Direct Counting for Frequent Itemset Mining -- Mining Sequential Patterns with Item Constraints -- Mining Borders of the Difference of Two Datacubes -- Mining Periodic Patterns in Sequence Data.
Record Nr. UNINA-9910144161103321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Warehousing and Knowledge Discovery [[electronic resource] ] : 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings / / edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß
Data Warehousing and Knowledge Discovery [[electronic resource] ] : 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings / / edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß
Edizione [1st ed. 2003.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Descrizione fisica 1 online resource (XIV, 438 p.)
Disciplina 005.7/4
Collana Lecture Notes in Computer Science
Soggetto topico Computer science
Computer Science, general
ISBN 3-540-45228-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talk -- XML for Data Warehousing Chances and Challenges -- Data Cubes and Queries -- CPM: A Cube Presentation Model for OLAP -- Computation of Sparse Data Cubes with Constraints -- Answering Joint Queries from Multiple Aggregate OLAP Databases -- An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy -- Multidimensional Data Model -- A Multidimensional Aggregation Object (MAO) Framework for Computing Distributive Aggregations -- The GMD Data Model for Multidimensional Information: A Brief Introduction -- An Application of Case-Based Reasoning in Multidimensional Database Architecture -- Web Warehousing -- MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems -- Designing Web Warehouses from XML Schemas -- Building XML Data Warehouse Based on Frequent Patterns in User Queries -- Change Detection -- A Temporal Study of Data Sources to Load a Corporate Data Warehouse -- Automatic Detection of Structural Changes in Data Warehouses -- Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin -- Web Mining and Association Rule -- Recent Developments in Web Usage Mining Research -- Parallel Vector Computing Technique for Discovering Communities on the Very Large Scale Web Graph -- Association Rules and Decision Trees -- Ordinal Association Rules towards Association Rules -- Rough Set Based Decision Tree Model for Classification -- Inference Based Classifier: Efficient Construction of Decision Trees for Sparse Categorical Attributes -- Generating Effective Classifiers with Supervised Learning of Genetic Programming -- Clustering I -- Clustering by Regression Analysis -- Handling Large Workloads by Profiling and Clustering -- Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering -- Clustering II -- On Complementarity of Cluster and Outlier Detection Schemes -- Cluster Validity Using Support Vector Machines -- FSSM: Fast Construction of the Optimized Segment Support Map -- Association Rule Mining -- Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited -- Parameterless Data Compression and Noise Filtering Using Association Rule Mining -- Performance Evaluation of SQL-OR Variants for Association Rule Mining -- Data Analysis and Discovery -- A Distance-Based Approach to Find Interesting Patterns -- Similarity Search in Structured Data -- Ontologies and Improving Data Quality -- Using an Interest Ontology for Improved Support in Rule Mining -- Fraud Formalization and Detection -- Combining Noise Correction with Feature Selection -- Queries and Data Patterns -- Pre-computing Approximate Hierarchical Range Queries in a Tree-Like Histogram -- Comprehensive Log Compression with Frequent Patterns -- Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations -- Improving Database Query Engine -- A New Computation Model for Rough Set Theory Based on Database Systems -- Computing SQL Queries with Boolean Aggregates -- Fighting Redundancy in SQL -- Sampling and Vector Classification -- “On-the-fly” VS Materialized Sampling and Heuristics -- Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients.
Record Nr. UNISA-996465963303316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Data Warehousing and Knowledge Discovery : 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings / / edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß
Data Warehousing and Knowledge Discovery : 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings / / edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß
Edizione [1st ed. 2003.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Descrizione fisica 1 online resource (XIV, 438 p.)
Disciplina 005.7/4
Collana Lecture Notes in Computer Science
Soggetto topico Computer science
Computer Science, general
ISBN 3-540-45228-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talk -- XML for Data Warehousing Chances and Challenges -- Data Cubes and Queries -- CPM: A Cube Presentation Model for OLAP -- Computation of Sparse Data Cubes with Constraints -- Answering Joint Queries from Multiple Aggregate OLAP Databases -- An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy -- Multidimensional Data Model -- A Multidimensional Aggregation Object (MAO) Framework for Computing Distributive Aggregations -- The GMD Data Model for Multidimensional Information: A Brief Introduction -- An Application of Case-Based Reasoning in Multidimensional Database Architecture -- Web Warehousing -- MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems -- Designing Web Warehouses from XML Schemas -- Building XML Data Warehouse Based on Frequent Patterns in User Queries -- Change Detection -- A Temporal Study of Data Sources to Load a Corporate Data Warehouse -- Automatic Detection of Structural Changes in Data Warehouses -- Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin -- Web Mining and Association Rule -- Recent Developments in Web Usage Mining Research -- Parallel Vector Computing Technique for Discovering Communities on the Very Large Scale Web Graph -- Association Rules and Decision Trees -- Ordinal Association Rules towards Association Rules -- Rough Set Based Decision Tree Model for Classification -- Inference Based Classifier: Efficient Construction of Decision Trees for Sparse Categorical Attributes -- Generating Effective Classifiers with Supervised Learning of Genetic Programming -- Clustering I -- Clustering by Regression Analysis -- Handling Large Workloads by Profiling and Clustering -- Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering -- Clustering II -- On Complementarity of Cluster and Outlier Detection Schemes -- Cluster Validity Using Support Vector Machines -- FSSM: Fast Construction of the Optimized Segment Support Map -- Association Rule Mining -- Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited -- Parameterless Data Compression and Noise Filtering Using Association Rule Mining -- Performance Evaluation of SQL-OR Variants for Association Rule Mining -- Data Analysis and Discovery -- A Distance-Based Approach to Find Interesting Patterns -- Similarity Search in Structured Data -- Ontologies and Improving Data Quality -- Using an Interest Ontology for Improved Support in Rule Mining -- Fraud Formalization and Detection -- Combining Noise Correction with Feature Selection -- Queries and Data Patterns -- Pre-computing Approximate Hierarchical Range Queries in a Tree-Like Histogram -- Comprehensive Log Compression with Frequent Patterns -- Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations -- Improving Database Query Engine -- A New Computation Model for Rough Set Theory Based on Database Systems -- Computing SQL Queries with Boolean Aggregates -- Fighting Redundancy in SQL -- Sampling and Vector Classification -- “On-the-fly” VS Materialized Sampling and Heuristics -- Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients.
Record Nr. UNINA-9910767535603321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui