LECTURE NOTES ON DATA MINING& DATA …

LECTURE NOTES ON. data mining & data WAREHOUSING. COURSE CODE:BCS-403. DEPT OF CSE & IT. VSSUT, Burla SYLLABUS: Module I. data mining overview, data Warehouse and OLAP Technology, data Warehouse Architecture, Stepsfor the Design and Construction of data Warehouses, A Three-Tier data WarehouseArchitecture,OLAP,OLAP queries, metadata repository, data Preprocessing data Integration and Transformation, data Reduction, data mining Primitives:What Defines a data mining Task? Task-Relevant data , The Kind of Knowledge to be Mined,KDD. Module II. mining Association Rules in Large Databases, Association Rule mining , Market BasketAnalysis: mining A Road Map, The Apriori Algorithm: Finding Frequent Itemsets Using Candidate Generation,Generating Association Rules from Frequent Itemsets, Improving the Efficiently of Apriori, mining Frequent Itemsets without Candidate Generation, Multilevel Association Rules, Approaches toMining Multilevel Association Rules, mining Multidimensional Association Ru

intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. The key properties of data mining …

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