Data Warehousing and Knowledge Discovery : 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings - neues Buch
2008, ISBN: 9783540858362
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Data Warehousing and Knowledge Discovery : 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings - neues Buch
2008, ISBN: 9783540858362
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations as a means of improving their abilities in data analysis, decision… Mehr…
hive.co.uk No. 9783540858362. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten. Details... |
2008, ISBN: 9783540858362
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations as a means of improving their abilities in data analysis, decision… Mehr…
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2008, ISBN: 9783540858362
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations as a means of improving their abilities in data analysis, decision… Mehr…
Springer.com new in stock. Versandkosten:zzgl. Versandkosten. Details... |
2008, ISBN: 9783540858362
10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, 2008
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Data Warehousing and Knowledge Discovery : 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings - neues Buch
2008, ISBN: 9783540858362
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations as a means of improving their abilities in data analysis, decision… Mehr…
Kenneth Pye:
Data Warehousing and Knowledge Discovery : 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings - neues Buch2008, ISBN: 9783540858362
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations as a means of improving their abilities in data analysis, decision… Mehr…
2008
ISBN: 9783540858362
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations as a means of improving their abilities in data analysis, decision… Mehr…
2008, ISBN: 9783540858362
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations as a means of improving their abilities in data analysis, decision… Mehr…
2008, ISBN: 9783540858362
10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, 2008
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Detailangaben zum Buch - Data Warehousing and Knowledge Discovery
EAN (ISBN-13): 9783540858362
Erscheinungsjahr: 2008
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2017-04-21T03:15:51+02:00 (Vienna)
Detailseite zuletzt geändert am 2023-04-08T11:59:03+02:00 (Vienna)
ISBN/EAN: 9783540858362
ISBN - alternative Schreibweisen:
978-3-540-85836-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: eder
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 - 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings
Verlag: Springer; Springer Berlin
434 Seiten
Erscheinungsjahr: 2008-08-30
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XIV, 434 p.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Datenkommunikation, Netzwerke; Netzwerk-Hardware; Verstehen; Clustering; classification; data mining; data warehouse; knowledge; knowledge discovery; learning; machine learning; modeling; text mining; C; Computer Communication Networks; Data Mining and Knowledge Discovery; Computer Engineering and Networks; Database Management; Computer and Information Systems Applications; Artificial Intelligence; Computer Science; Data Mining; Wissensbasierte Systeme, Expertensysteme; Computerhardware; Datenbanken; Angewandte Informatik; Künstliche Intelligenz; BC
Conceptual Design and Modeling.- UML-Based Modeling for What-If Analysis.- Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses.- An MDA Approach for the Development of Spatial Data Warehouses.- OLAP and Cube Processing.- Built-In Indicators to Discover Interesting Drill Paths in a Cube.- Upper Borders for Emerging Cubes.- Top_Keyword: An Aggregation Function for Textual Document OLAP.- Distributed Data Warehouse.- Summarizing Distributed Data Streams for Storage in Data Warehouses.- Efficient Data Distribution for DWS.- Data Partitioning in Data Warehouses: Hardness Study, Heuristics and ORACLE Validation.- Data Privacy in Data Warehouse.- A Robust Sampling-Based Framework for Privacy Preserving OLAP.- Generalization-Based Privacy-Preserving Data Collection.- Processing Aggregate Queries on Spatial OLAP Data.- Data Warehouse and Data Mining.- Efficient Incremental Maintenance of Derived Relations and BLAST Computations in Bioinformatics Data Warehouses.- Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization.- Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies.- Clustering I.- Efficient K-Means Clustering Using Accelerated Graphics Processors.- Extracting Knowledge from Life Courses: Clustering and Visualization.- A Hybrid Clustering Algorithm Based on Multi-swarm Constriction PSO and GRASP.- Clustering II.- Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering.- Clustered Dynamic Conditional Correlation Multivariate GARCH Model.- Document Clustering by Semantic Smoothing and Dynamic Growing Cell Structure (DynGCS) for Biomedical Literature.- Mining Data Streams.- Mining Serial Episode Rules with Time Lags over Multiple Data Streams.- Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams.- Continuous Trend-Based Clustering in Data Streams.- Mining Multidimensional Sequential Patterns over Data Streams.- Classification.- Towards a Model Independent Method for Explaining Classification for Individual Instances.- Selective Pre-processing of Imbalanced Data for Improving Classification Performance.- A Parameter-Free Associative Classification Method.- Text Mining and Taxonomy I.- The Evaluation of Sentence Similarity Measures.- Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets.- Towards the Automatic Construction of Conceptual Taxonomies.- Text Mining and Taxonomy II.- Adapting LDA Model to Discover Author-Topic Relations for Email Analysis.- A New Semantic Representation for Short Texts.- Document-Base Extraction for Single-Label Text Classification.- Machine Learning Techniques.- How an Ensemble Method Can Compute a Comprehensible Model.- Empirical Analysis of Reliability Estimates for Individual Regression Predictions.- User Defined Partitioning - Group Data Based on Computation Model.- Data Mining Applications.- Workload-Aware Histograms for Remote Applications.- Is a Voting Approach Accurate for Opinion Mining?.- Mining Sequential Patterns with Negative Conclusions.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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