Data Warehousing and Knowledge Discovery: 9th International Conference, DaWaK 2007, Regensburg, Germany, September 3-7, 2007, Proceedings Il Yeol Song - neues Buch

EAN (ISBN-13): 9783540745525
ISBN (ISBN-10): 3540745521
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2007
Herausgeber: Springer Berlin Heidelberg Core >1
482 Seiten
Gewicht: 0,753 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-10-16T10:58:59+02:00 (Zurich)
Detailseite zuletzt geändert am 2024-03-21T19:32:10+01:00 (Zurich)
ISBN/EAN: 9783540745525

ISBN - alternative Schreibweisen:
3-540-74552-1, 978-3-540-74552-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: song, nguyen, eder, johann, tho, springer
Titel des Buches: sin knowledge, dis dat, wolfgang schule regensburg, regensburg lecture, what with germany, data warehousing and knowledge discovery, data science, science notes, computer science, regensburg 1933 1945

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Daten vom Verlag:

Autor/in: Il Yeol Song; Johann Eder; Tho Manh Nguyen
Titel: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI; Data Warehousing and Knowledge Discovery - 9th International Conference, DaWaK 2007, Regensburg, Germany, September 3-7, 2007, Proceedings
Verlag: Springer; Springer Berlin
484 Seiten
Erscheinungsjahr: 2007-08-21
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVI, 484 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; LA; OLAP; On-Line Analytical Processing; classification; data warehouse; knowledge discovery; ontology; service-oriented computing; warehousing; Data Structures and Information Theory; Database Management; Data Mining and Knowledge Discovery; Computer and Information Systems Applications; Computer Communication Networks; Artificial Intelligence; Informationstheorie; Datenbanken; Data Mining; Wissensbasierte Systeme, Expertensysteme; Angewandte Informatik; Netzwerk-Hardware; Künstliche Intelligenz; EA

Data Warehouse Architecture.- A Hilbert Space Compression Architecture for Data Warehouse Environments.- Evolution of Data Warehouses’ Optimization: A Workload Perspective.- What-If Analysis for Data Warehouse Evolution.- Data Warehouse Quality.- An Extensible Metadata Framework for Data Quality Assessment of Composite Structures.- Automating the Schema Matching Process for Heterogeneous Data Warehouses.- A Dynamic View Materialization Scheme for Sequences of Query and Update Statements.- Multidimensional Database.- Spatio-temporal Aggregations in Trajectory Data Warehouses.- Computing Join Aggregates over Private Tables.- An Annotation Management System for Multidimensional Databases.- Data Warehouse and OLAP.- On the Need of a Reference Algebra for OLAP.- OLAP Technology for Business Process Intelligence: Challenges and Solutions.- Built-In Indicators to Automatically Detect Interesting Cells in a Cube.- Emerging Cubes for Trends Analysis in Olap Databases.- Query Optimization.- Domination Mining and Querying.- Semantic Knowledge Integration to Support Inductive Query Optimization.- A Clustered Dwarf Structure to Speed Up Queries on Data Cubes.- Data Warehousing and Data Mining.- An OLAM-Based Framework for Complex Knowledge Pattern Discovery in Distributed-and-Heterogeneous-Data-Sources and Cooperative Information Systems.- Integrating Clustering Data Mining into the Multidimensional Modeling of Data Warehouses with UML Profiles.- A UML Profile for Representing Business Object States in a Data Warehouse.- Selection and Pruning Algorithms for Bitmap Index Selection Problem Using Data Mining.- Clustering.- MOSAIC: A Proximity Graph Approach for Agglomerative Clustering.- A Hybrid Particle Swarm Optimization Algorithm for Clustering Analysis.- Clustering Transactionswith an Unbalanced Hierarchical Product Structure.- Constrained Graph b-Coloring Based Clustering Approach.- Association Rules.- An Efficient Algorithm for Identifying the Most Contributory Substring.- Mining High Utility Quantitative Association Rules.- Extraction of Association Rules Based on Literalsets.- Healthcare and Biomedical Applications.- Cost-Sensitive Decision Trees Applied to Medical Data.- Utilization of Global Ranking Information in Graph- Based Biomedical Literature Clustering.- Ontology-Based Information Extraction and Information Retrieval in Health Care Domain.- Classification.- Fuzzy Classifier Based Feature Reduction for Better Gene Selection.- Two Way Focused Classification.- A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms.- Learning of Semantic Sibling Group Hierarchies - K-Means vs. Bi-secting-K-Means.- Partitioning.- Mining Top-K Multidimensional Gradients.- A Novel Similarity-Based Modularity Function for Graph Partitioning.- Dual Dimensionality Reduction for Efficient Video Similarity Search.- Privacy and Crytography.- Privacy-Preserving Genetic Algorithms for Rule Discovery.- Fast Cryptographic Multi-party Protocols for Computing Boolean Scalar Products with Applications to Privacy-Preserving Association Rule Mining in Vertically Partitioned Data.- Privacy-Preserving Self-Organizing Map.- Miscellaneous Knowledge Discovery Techniques.- DWFIST: Leveraging Calendar-Based Pattern Mining in Data Streams.- Expectation Propagation in GenSpace Graphs for Summarization.- Mining First-Order Temporal Interval Patterns with Regular Expression Constraints.- Mining Trajectory Patterns Using Hidden Markov Models.