Data Warehousing and Knowledge Discovery 7th International Conference, DaWak 2005, Copenhagen, Denmark, August 22-26, 2005, Proceedings - neues Buch

EAN (ISBN-13): 9783540285588
ISBN (ISBN-10): 354028558X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2005
Herausgeber: Springer Berlin
538 Seiten
Gewicht: 0,836 kg
Sprache: eng/Englisch

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ISBN/EAN: 9783540285588

ISBN - alternative Schreibweisen:
3-540-28558-X, 978-3-540-28558-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: tjoa
Titel des Buches: knowledge warehouse, august, you know denmark, 7th international, data warehousing and knowledge discovery, data science, lecture notes computer science, copenhagen, hci

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Daten vom Verlag:

Autor/in: A Min Tjoa
Titel: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI; Data Warehousing and Knowledge Discovery - 7th International Conference, DaWak 2005, Copenhagen, Denmark, August 22-26, 2005, Proceedings
Verlag: Springer; Springer Berlin
544 Seiten
Erscheinungsjahr: 2005-08-17
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVI, 544 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; Informatik; algorithms; classification; data mining; data warehouse; database; knowledge discovery; service-oriented computing; tools; warehousing; Data Structures and Information Theory; Database Management; Information Storage and Retrieval; Computer and Information Systems Applications; Computer Communication Networks; Artificial Intelligence; Informationstheorie; Datenbanken; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Angewandte Informatik; Netzwerk-Hardware; Künstliche Intelligenz; EA

Data Warehouse I.- A Tree Comparison Approach to Detect Changes in Data Warehouse Structures.- Extending the UML for Designing Association Rule Mining Models for Data Warehouses.- Event-Feeded Dimension Solution.- XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses.- Data Warehouse II.- Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates.- Extending UML 2 Activity Diagrams with Business Intelligence Objects.- Automatic Selection of Bitmap Join Indexes in Data Warehouses.- Evaluating Data Warehouses and Tools.- A Survey of Open Source Tools for Business Intelligence.- DWEB: A Data Warehouse Engineering Benchmark.- A Set of Quality Indicators and Their Corresponding Metrics for Conceptual Models of Data Warehouses.- Design and Development of a Tool for Integrating Heterogeneous Data Warehouses.- Schema Transformations.- An Evolutionary Approach to Schema Partitioning Selection in a Data Warehouse.- Using Schema Transformation Pathways for Incremental View Maintenance.- Data Mapper: An Operator for Expressing One-to-Many Data Transformations.- Materialized Views.- Parallel Consistency Maintenance of Materialized Views Using Referential Integrity Constraints in Data Warehouses.- Selective View Materialization in a Spatial Data Warehouse.- PMC: Select Materialized Cells in Data Cubes.- Aggregates.- Progressive Ranking of Range Aggregates.- On Efficient Storing and Processing of Long Aggregate Lists.- Data Warehouse Queries and Database Processing Issues.- Ad Hoc Star Join Query Processing in Cluster Architectures.- A Precise Blocking Method for Record Linkage.- Flexible Query Answering in Data Cubes.- An Extendible Array Based Implementation of Relational Tables for Multi Dimensional Databases.- Data Mining Algorithms and Techniques.- Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data.- A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data.- Hybrid System of Case-Based Reasoning and Neural Network for Symbolic Features.- Data Mining.- Spatio–temporal Rule Mining: Issues and Techniques.- Hybrid Approach to Web Content Outlier Mining Without Query Vector.- Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views.- A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases.- Association Rules.- Discovering Richer Temporal Association Rules from Interval-Based Data.- Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques.- Maintenance of Generalized Association Rules Under Transaction Update and Taxonomy Evolution.- Prince: An Algorithm for Generating Rule Bases Without Closure Computations.- Text Processing and Classification.- Efficient Compression of Text Attributes of Data Warehouse Dimensions.- Effectiveness of Document Representation for Classification.- 2-PS Based Associative Text Classification.- Miscellaneous Applications.- Intrusion Detection via Analysis and Modelling of User Commands.- Dynamic Schema Navigation Using Formal Concept Analysis.- Security and Privacy Issues.- FMC: An Approach for Privacy Preserving OLAP.- Information Driven Evaluation of Data Hiding Algorithms.- Patterns.- Essential Patterns: A Perfect Cover of Frequent Patterns.- Processing Sequential Patterns in Relational Databases.- Optimizing a Sequence of Frequent Pattern Queries.- A General Effective Framework for Monotony and Tough Constraint Based Sequential Pattern Mining.- Cluster and Classification I.- Hiding Classification Rules for Data Sharing with PrivacyPreservation.- Clustering-Based Histograms for Multi-dimensional Data.- Weighted K-Means for Density-Biased Clustering.- Cluster and Classification II.- A New Approach for Cluster Detection for Large Datasets with High Dimensionality.- Gene Expression Biclustering Using Random Walk Strategies.- Spectral Kernels for Classification.- Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges.