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Kadhar Nawaz, G. M.
- Influences of Statistical Techniques in Data Mining and Warehousing Applications
Abstract Views :158 |
PDF Views:2
Authors
Affiliations
1 Anna University of Technology, Coimbatore, IN
2 Department of MCA, Sona College of Technology, Salem, IN
1 Anna University of Technology, Coimbatore, IN
2 Department of MCA, Sona College of Technology, Salem, IN
Source
Data Mining and Knowledge Engineering, Vol 3, No 16 (2011), Pagination: 974-980Abstract
The significance of statistics plays a major role in society, business and government. In commercial applications, software tools are effectively applying the statistical techniques in order to improve the performance as well as to minimize the cost by drawing timely decisions. This paper focuses the significances of statistics in three main systems namely decision support system, data mining system and data warehousing system. This paper prominently contributes the roles of statistical techniques in DSS, DM and DW systems.Keywords
Decision Support Systems, Data Mining, Data Warehousing, Business Intelligence, Data Cube, OLAP, MDDB.- Research Community Mining by Using Brush Structure Model
Abstract Views :173 |
PDF Views:2
Authors
Affiliations
1 Department of MCA, Sona College of Technology, Salem-635301, IN
1 Department of MCA, Sona College of Technology, Salem-635301, IN
Source
Data Mining and Knowledge Engineering, Vol 3, No 8 (2011), Pagination: 479-483Abstract
Since research trends can change dynamically,researchers have to keep up with these new trends and undertake new research topics. Therefore, research communities for new research domains are important. Domain-specific search engines (or vertical search engines) alleviate the problem to some extent, by allowing researchers to perform searches in a particular domain and providing customized community researchers. In this paper, we propose a method to discover research communities. The key features of our method are a network model of papers and a word assignment technique for the communities obtained. This research work is focused on evaluating a bibliometrics search engine called Domain Expert, which produces list of community researchers e-mail addresses of cyber domain experts available freely in the Web. This exploits techniques such as bibliometrics and community mining using Brush structure, which is a new data structure model for indexing by community formation.Keywords
Information Retrieval Engine, E-Mail ID Harvester, Research Community, Brush Datastructure, Web Structure Mining, Bi-Partite Graph.- Construction of a New DMQL to Extract Knowledge from a Data Warehouse through Easy Miner (Version 2)
Abstract Views :211 |
PDF Views:3
Authors
Affiliations
1 Department of Master of Computer Application, Sree Saraswathi Thyagaraja College, Pollachi, IN
2 Department of Master of Computer Application, Sona College of Technology, Salem, IN
1 Department of Master of Computer Application, Sree Saraswathi Thyagaraja College, Pollachi, IN
2 Department of Master of Computer Application, Sona College of Technology, Salem, IN