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#15 Data Preprocessing in Data mining

Data warehousing is a method of organizing and compiling data into one database, whereas data mining deals with fetching important data from databases. Data mining attempts to depict meaningful patterns through a dependency on the data that is compiled in the data warehouse. unit-1: Data Warehousing and Business Analysis unit-2: Data Mining unit-3: Classification and Prediction unit-4: Cluster analysis unit-5: Mining Object, Spatial, Multimedia, Text and Web Data unit-1: Data Warehousing and Business Analysis: Data warehousing Components –Building a Data warehouse –Data Warehouse Architecture no – DBMS Schemas for Decision Support – Data Extraction, Cleanup, and Transformation Tools –Metadata – reporting – Query tools and Applications – Online Analytical Processing (OLAP) – OLAP and Multidimensional Data Analysis. unit-2: Data mining: -Data mining functionalities -Data preprocessing -Data cleaning -Data integration and transformation -Data Reduction -Data discritization and concept hierarchy generation -Architecture of a typical data mining system -Classification of Data mining systems Rule mining: -Efficient and scalable Frequent Item set mining methods -mining various kinds of Association rules -Association mining to correlation Analysis -Constraint,Based Association mining Telegram link:https://t.me/themanchinebrain daily notes will be available in telegram