Data Warehousing and Data Mining
Integral University
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Data Warehousing and Data Mining
- Package deal • 4 items • 2018
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Data Warehousing, Data Mart, Business, Data Mining.
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Data Warehousing and Data Mining
- Class notes • 9 pages • 2018
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DSS Uses, Definition, Operational Database, Introduction to Data Warehousing, Data Mart, Concept of Data Warehousing, Multi Dimensional Database Structures, Client/Server Computing Model and Data Warehousing, Parallel Processors and Cluster Systems, Distributed DBMS Implementations.
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Data Warehousing and Data Mining:- (Data Mining)
- Class notes • 7 pages • 2018
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Knowledge Discovery, Data Mining, Introduction to Data Mining, Techniques of Data Mining, Decision Trees, Neural Networks, Nearest Neighbor and Clustering, Genetic Algorithms, Rule Introduction, Selecting and using the Right Technique.
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Data Warehousing and Data Mining:- (Business)
- Class notes • 6 pages • 2018
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Business Analysis, Reporting and Query Tools, Applications, Online Analytical Processing (OLAP), Patterns and Models, Statistics, Artificial Intelligence.
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Data Warehousing and Data Mining:- (Data Warehousing)
- Class notes • 19 pages • 2018
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Data Warehousing, Data Warehousing Components, Building a Data Warehouse, Warehouse Database, Mapping the Data Warehouse to a Multiprocessor Architecture, DBMS Schemas for Decision Support, Data Extraction, Cleanup and Transformation Tools, Metadata.
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