PDF4PRO ⚡AMP

Modern search engine that looking for books and documents around the web

Example: biology

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 Rules for Relational Database and data Warehouses,Multidimensional Association Rules, mining Quantitative Association Rules, MiningDistance-Based Association Rules, From Association mining to Correlation Analysis Module III.

DEPT OF CSE & IT VSSUT, Burla Summarization – providing a more compact representation of the data set, including visualization and report generation. 1.4 Architecture of Data Mining A typical data mining system may have the following major components.

Tags:

  Data, Mining, Data mining amp data

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Spam in document Broken preview Other abuse

Transcription of LECTURE NOTES ON DATA MINING& DATA …

Related search queries