CS2032 - Data Warehousing and Data Mining UNIT I DATA WAREHOUSING Data warehousing Components –Building a Data warehouse –- Mapping the Data Warehouse to a Multiprocessor Architecture – DBMS Schemas for Decision Support – Data Extraction, Cleanup, and Transformation Tools –Metadata.
decisions on complex "black-box" models. Note that the goals of accuracy of the model and accuracy of its interpretation are somewhat contradictory. Usually, simple models are more interpretable, but they are also less accurate. Modern data-mining methods are expected to yield highly accurate results using highdimensional models.
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cs2032 data warehousing and data mining unit notes - notes unit - 1 data warehousing ---- notes unit - 2 business analysis unit - 3 data mining unit - 4 association rule mining and classification
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it 6702 data warehousing and data mining To introduce the concept of Data Warehousing and study in detail about the various components of the Data warehouse. To study about the concepts and classification of Data mining systems.
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Syllabus for unit test – I CS2032 DATA WAREHOUSING AND DATA MINING UNIT I DATA WAREHOUSING Data warehousing Components – Building a Data warehouse – - Mapping the Data Warehouse to a Multiprocessor Architecture – DBMS Schemas for Decision Support – Data Extraction, Cleanup, and Transformation Tools – Metadata.
CS2032 DATA WAREHOUSING AND DATA MINING . UNIT I DATA WAREHOUSING. Data warehousing Components –Building a Data warehouse –- Mapping the Data Warehouse to a Multiprocessor Architecture – DBMS Schemas for Decision Support – Data Extraction, Cleanup, and Transformation Tools –Metadata.
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CS2032 Data Warehousing Data Mining SCE Department of Information Technology UNIT I DATA WAREHOUSING 1.1 Data warehousing Components 1.2 Building a Data warehouse 1.3 Mapping the Data Warehouse to a Multiprocessor Architecture 1.4 DBMS Schemas for Decision Support 1.5 Data Extraction, Cleanup, and Transformation Tools 1.6 Metadata.