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Anbarasi, A.
- Distributed Data through Transaction Techniques a Simple and Scalable Approach
Authors
1 Department of Computer Science, Bharathiar University, IN
2 Department of Computer Applications, Karpagam University, IN
3 Department of Management Studies, Bharathiar University, IN
Source
Data Mining and Knowledge Engineering, Vol 2, No 11 (2010), Pagination: 378-381Abstract
Data mining is the automated analysis of large volumes of data looking for associations and knowledge that are implicit in data. Data mining and knowledge discovery in huge amounts of data can help from the use of parallel and distributed computational environments to improve both performance and quality of data selection
Even though new data mining techniques with improved efficiency of algorithms that could be used in single locations (some meant for multiple locations), are practiced nowadays ,the efficiency of this methods have not focused on its practical level environment application since the data on the web/network distributed vary on its nature. This state of affairs demands the requirement for a whole new architecture and novel innovative algorithms to be used in data mining techniques. In place of long-established client server methodology new software that back up the building of a distributed data mining architecture is the need of the hour. In this paper we present software that.
Keywords
Distributed Data Mining, Multiple Locations, Web/Network Distributed.
- Evaluation of In Vitro Anti- Inflammatory Activity of Tephrosia purpurea (Seed)
Authors
1 Department of Biochemistry, Dharmapuram Ganambigai Govt. Arts College (W), Mayiladuthurai-609001, Tamilnadu, IN