Commenced in January 2007
Paper Count: 30184
Distributed Data-Mining by Probability-Based Patterns
Abstract:In this paper a new method is suggested for distributed data-mining by the probability patterns. These patterns use decision trees and decision graphs. The patterns are cared to be valid, novel, useful, and understandable. Considering a set of functions, the system reaches to a good pattern or better objectives. By using the suggested method we will be able to extract the useful information from massive and multi-relational data bases.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334343Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1217
 M. Karegar, A. Isazadeh, F. Fartash, T. Saderi, A. Habibizad Navin. "Data-mining by the probability-based patterns," Published in the proceeding of the 30th International Conference on Information Technology Integrity, ITI 2008 IEEE. June 2008.
 M. Karegar, R. Mirmiran, F. Fartash, T. Saderi. "Risk-management by probability-based patterns in data-mining," Published in the proceeding of the International Conference on Information Technology Symposium 2008, ITSim 2008 IEEE. August 2008.
 Supatcharee Sirikulvadhana (2002), "Data Mining as A Financial Auditing Tool," unpublished thesis (M.Sc) The Swedish School of Economics and Business Administration.
 Sankar K. Pal and Pabitra Mitra (2004): "Pattern Recognition Algorithms for Data Mining," Calcutta, CHAPMAN & HALL/CRC
 Zaki Mohammed J., Ching-Tien Ho (2000): "Large-Scale Parallel Data Mining," Berlin, Springer.ch1,pp 1-2.
 Aflori C, Leon F. Efficient distributed data mining using intelligent agents. Supported in part by the National University Research Council under Grant AT no 66 / 2004.
 Piatetsky-Shapiro G, Djeraba C, Getoor L. "What are the grand challenges for datamining?" KDD-2006 Panel Report, SIGKDD Explorations, Volume 8, Issue 2.
 Alvarez J L, Mata J, Riquelme J C. "Data mining for the management of software development process," International Journal of Software Engineering and Knowledge Engineering, (1994) World Scientific Publishing Company. p.3.
 McGrail A J, Gulski E, Groot E R S. "Data mining techniques to access the condition of high voltage electrical plant," School of Electrical Engineering, University of New South Wales, SYDNEY, NSW 2052, AUSTRALIA, On behalf of WG 15.11 of Study Committee 15, 2002.
 Ordieres Meré J B, and Castej Limas M. "Data mining in industrial processes," Actas del III Taller Nacional de Miner a de Datosy Aprendizaje, TAMIDA2005. P. 60.
 Hand D J, Mannila H, Smyth P. "Principles of Data Mining (Adaptive Computation and Machine Learning)," The MIT Press (August 2001); Ch 6: models and patterns.
 Jennings, N., Sycara, K., Wooldridge, M. "A Roadmap of Agent Research and Development, Autonomous Agents and Multi-Agent Systems," 1:7-38, 1998.
 Park, B., Kargupta, H. "Distributed Data Mining: Algorithms, Systems, and Applications," In the Handbook of Data Mining, N. Ye (ed.), Lawrence Erlbaum Associates, pp: 341-358, 2003.
 Freitas, A.; Lavington, S. H. "Mining very large data bases with parallel processing," Kluwer Academic Publishers The Netherlands, 1998.
 Danish Khan. "CAKE - Classifying, Associating & Knowledge DiscovEry An Approach for Distributed Data Mining (DDM) Using Parallel Data Mining Agents (PADMAs)," Published in the proceeding of International Conference on Information Technology Integrity, ITI 2008 IEEE. 2008.
 Zhongfei Zhang, Ruofei Zhang (2009): "Multimedia Data Mining A Systematic Introduction to Concepts and Theory," Boca Raton, CRC Press.
 Tan. P, Steinbach M., and Kumar V (2005): Introduction to Data Mining, Addison-Wesley, ch3.
 Herbert A.Edelstein (1999): Introduction to Data Mining and Knowledge Discovery,Third Edition.U.S.A:Two Crows Corporation, pp:8-9, 2005.
 Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, and Vipin Kumar (2008): "Next Generation of Data Mining," CRC Press, ch8.pp: 155.
 Jie Ouyang Patel, N.Sethi, I.K. Chi-Square. "Test Based Decision Trees Induction in Distributed Environment," Data Mining Workshops, 2008. ICDMW'08. IEEE International Conference on Dec. 2008.