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Data Warehousing and Knowledge Discovery
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9783540482987

Detailangaben zum Buch - Data Warehousing and Knowledge Discovery


EAN (ISBN-13): 9783540482987
Erscheinungsjahr: 2003
Herausgeber: Springer Berlin Heidelberg

Buch in der Datenbank seit 2017-05-10T01:37:29+02:00 (Vienna)
Detailseite zuletzt geändert am 2023-05-20T09:59:38+02:00 (Vienna)
ISBN/EAN: 9783540482987

ISBN - alternative Schreibweisen:
978-3-540-48298-7
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: ferdinand springer, linskens
Titel des Buches: knowledge discovery

Daten vom Verlag:

Autor/in: Mukesh Mohania; A Min Tjoa
Titel: Lecture Notes in Computer Science; Data Warehousing and Knowledge Discovery - First International Conference, DaWaK'99 Florence, Italy, August 30 - September 1, 1999 Proceedings
Verlag: Springer; Springer Berlin
408 Seiten
Erscheinungsjahr: 2003-07-31
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XII, 408 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; Data warehousing; Web Mining; algorithms; data analysis; data mining; data warehouse; database; design; genetic algorithms; knowledge discovery; optimization; performance; performance evaluation; relational database; verification; C; Data Structures and Information Theory; Database Management; Information Storage and Retrieval; Artificial Intelligence; Computer Communication Networks; Computer and Information Systems Applications; Computer Science; Informationstheorie; Datenbanken; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Künstliche Intelligenz; Netzwerk-Hardware; Angewandte Informatik; BC

Data Warehouse Design.- Dynamic Data Warehouse Design.- Star/Snow-Flake Schema Driven Object-Relational Data Warehouse Design and Query Processing Strategies.- The Design and Implementation of Modularized Wrappers/Monitors in a Data Warehouse.- Managing Meta Objects for Design of Warehouse Data.- On-Line Analytical Processing.- Dealing with Complex Reports in OLAP Applications.- OLAP-based Scalable Profiling of Customer Behavior.- Compressed Datacubes for Fast OLAP Applications.- Compact Representation: An Approach to Efficient Implementation for the Data Warehouse Architecture.- View Maintenance, Selection and Optimisation.- On the Independence of Data Warehouse from Databases in Maintaining Join Views.- Heuristic Algorithms for Designing a Data Warehouse with SPJ Views.- POSSE: A Framework for Optimizing Incremental View Maintenance at Data Warehouses.- Genetic Algorithm for Materialized View Selection in Data Warehouse Environments.- Optimization of Sequences of Relational Queries in Decision-Support Environments.- Invited Talk.- Dynamic Data Warehousing.- Multidimensional Databases.- Set-Derivability of Multidimensional Aggregates.- Using the Real Dimension of the Data.- On Schema Evolution in Multidimensional Databases.- Lazy Aggregates for Real-Time OLAP.- Knowledge Discovery.- Incremental Refinement of Mining Queries.- The Item-Set Tree: A Data Structure for Data Mining.- A New Approach for the Discovery of Frequent Itemsets.- K-means Clustering Algorithm for Categorical Attributes.- Association Rules.- Considering Main Memory in Mining Association Rules.- Discovery of Association Rule Meta-Patterns.- Fuzzy Functional Dependencies and Fuzzy Association Rules.- Performance Evaluation and Optimization of Join Queries for Association Rule Mining.- Indexing and Object Similarities.- Efficient Bulk Loading of Large High-Dimensional Indexes.- Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases.- Similarity between Event Types in Sequences.- Generalised Association Rules and Data & Web Mining.- Mining Generalized Association Rule Using Parallel RDB Engine on PC Cluster.- Modeling KDD Processes within the Inductive Database Framework.- Research Issues in Web Data Mining.- DAMISYS: An Overview.- Time Series Databases.- Mining Interval Time Series.- A New Modeling Technique Based on Markov Chains to Mine Behavioral Patterns in Event Based Time Series.- SQL/LPP+: A Cascading Query Language for Temporal Correlation Verification.- Temporal Structures in Data Warehousing.- Data Mining Applications and Data Analysis.- Target Group Selection in Retail Banking through Neuro-Fuzzy Data Mining and Extensive Pre- and Postprocessing.- Using Data Mining Techniques in Fiscal Fraud Detection.- Analysis of Accuracy of Data Reduction Techniques.- Data Swapping: Balancing Privacy against Precision in Mining for Logic Rules.
Includes supplementary material: sn.pub/extras

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