Distributed Data through Transaction Techniques a Simple and Scalable Approach
Abstract
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
Full Text:
PDFReferences
P,Kulkarni, K.K. Tangod, S.R.Mangalwede, A.R.Yardi, “ Exploring the capabilities of Mobile Agents in Distributed Data Mining, 10th International Database Engineering and Applications Symposium(IDEAS’06), 2006 IEEE.
Datta, S.Bhaduri, K.Giannella, C.Wolf, R.S Kargupta, H(2006). Distributed Data Mining in Peer-to-Peer Network Security, IEEE Internet computing 10(4), 18 -26.
S.T. Roweis and L.K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science 290: 2323-2326.
Salah Aidarous Stephen B. Weinstein, Distributed Systems for Telecommunications IEEE Network January/February 1994
Sammon Jr., J.W., “A nonlinear mapping for data structure analysis” IEEE Transactions on Computers, C-18, 401-409. 1969
Syed Zahid, Hassan Zaidi, Syed Sibte Raza Abidi and Selvakumar Manickam. Distributed Data Mining From Heterogeneous Healthcare Data Repositories: Towards an Intelligent Agent-Based Framework, Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)
Talia, D.“Grid-Based Distributed Data Mining Systems, Algorithms and Services, 9th International Workshop on High Performance and Distributed Mining, Bethesda April 22 2006
J. J. Verbeek, S. T. Roweis, and N. Vlassis. Nonlinear CCA and PCA by alignment of local models. In Advances in Neural Information Processing Systems 16, 2000
Wu-Shan Jiang, Ji-Hui Yu., Distributed Data Mining on the Grid, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.