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Paper On Data Mining in Knowledge Discovery Using OLAP Authors Patel Hitendra R. (Lecturer) & Patel Narendra J. (Lecturer) [email protected] [email protected] Patel Dhirenbhai B. (Director GVP) [email protected] A.M.Patel Institute of Computer Studies, GANPAT Vidyanagar, Kherva, Mehsana (N.G.) –387 211 Phone:- (02762)- 289039 (0), (02765)- 221358 (R) Data Mining in Knowledge Discovery Using OLAP Abstract OLAP is stand for On-Line Analytical Processing. This is service, which is provided by several RDBMS software. RDBMS provide tabular representation of data but OLAP is based on new concept of Data Cube (Hybrid Data). The main use of OLAP is in decision support system for analysts and managers to gain insight into the performance of an enterprise by the various types of multidimensional organized data views. Basically OLAP calculation is also effectively used for knowledge discovery in data mining. OLAP gives insight data fast, consistent, effective manner and also support interactive access for views information. Day by day database system is used by several applications i.e. internet application, DSS and TPS. Every DBMS is required better performance aspect and reliability. For the large database performance is a key issue. To achieve good performance of data mining, OLAP services would be helpful. How OLAP provide better performance for data mining? Pre-computed aggregate calculation in a data cube can provide efficient query processing OLAP applications. Through this paper we would like to present parallel data cube construction on distributed memory parallel computer for a relational database. Algorithms and techniques are discussed for large number of processors for providing better performance to various applications. For Knowledge discovery purpose large data set should be analyzed for matched pattern and identifying appropriate rules. Data mining is nothing but association, classification and clustering. It can be used together with OLAP to discover knowledge from the database. Reference: 1. OLAP MS SQL Server help 2. www.olapcouncil.org “OLAP council bench mark 3. High Performance Data Mining Using Data Cube On Parallel Computers Sanjay Goil & Alok Choudhary , Northwestern University 4. Advance Scout : Data Mining and Knowledge Discovery in NBA data report” Bhandri I and Colet E
