SOFTWARE AGENTS PARADIGM IN AUTOMATED DATA MINING FOR BETTER VISUALIZATION USING INTELLIGENT AGENTS

Data Mining techniques plays a vital role like extr action of required knowledge, finding useful inform ation to make strategic decision in a novel way which in term understandable by domain experts. Users like expert user, novice user and connoisseur user in wh ch expert user can complete process on its own knowledge while compared to novice user and connois seur user because of their less domain knowledge. The inadequate lead to grow user like novice and co nnoisseur user more. With these properties they are not at all more significant users like expert users. B y considering these aspects agents are implemented to perform the specified task on behalf of less domain user in which selection of appropriate mining techniques, appropriate algorithms, and proper deci sion making for producing better results. In these paper, multiple agents are considered to perform differ un iq e task with proper communication and collaborati n with each agents in the name of automated process f or better visualization and cluster detection for l ess domain users.

[1]  Henry Leung,et al.  An automated change detection approach for mine recognition using sidescan sonar data , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[2]  Masood Mehmood Khan,et al.  Cluster Analytic Detection of Disgust-Arousal , 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

[3]  M. Knapik,et al.  Developing intelligent agents for distributed systems: exploring architecture, technologies, & applications , 1998 .

[4]  Michael N. Huhns,et al.  Multiagent systems and societies of agents , 1999 .

[5]  Hillol Kargupta,et al.  Multi-agent Systems and Distributed Data Mining , 2004, CIA.

[6]  Jaewan Lee,et al.  A framework for discovering relevant patterns using aggregation and intelligent data mining agents in telematics systems , 2009, Telematics Informatics.

[7]  Nicholas R. Jennings,et al.  The Gaia Methodology for Agent-Oriented Analysis and Design , 2000, Autonomous Agents and Multi-Agent Systems.

[8]  Vipul Kashyap,et al.  InfoSleuth: agent-based semantic integration of information in open and dynamic environments , 1997, SIGMOD '97.

[9]  Matthias Klusch,et al.  Distributed data mining and agents , 2005, Eng. Appl. Artif. Intell..

[10]  Vladimir Gorodetsky,et al.  P2P Agent Platform: Implementation and Testing , 2009, AP2PC.

[11]  Jing Huang,et al.  System framework design of automated data mining technology based on intelligent agents , 2011, 2011 International Conference on Image Analysis and Signal Processing.

[12]  Khalid Iqbal,et al.  Automated Data Mining Techniques: A Critical Literature Review , 2009, 2009 International Conference on Information Management and Engineering.

[13]  Wahyu Kusuma,et al.  Journal of Theoretical and Applied Information Technology , 2012 .

[14]  Vijayan Sugumaran,et al.  IDM: an intelligent software agent based data mining environment , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[15]  Chengqi Zhang,et al.  Agent-Mining Interaction: An Emerging Area , 2007, AIS-ADM.

[16]  Pattie Maes,et al.  Agents that reduce work and information overload , 1994, CACM.

[17]  Caroline C. Hayes,et al.  Agents in a Nutshell - A Very Brief Introduction , 1999, IEEE Trans. Knowl. Data Eng..

[18]  Bernard Grabot,et al.  Adding decision support to workflow systems by reusable standard software components , 2002, Comput. Ind..

[19]  Thomas Ertl,et al.  Visual Verification and Analysis of Cluster Detection for Molecular Dynamics , 2007, IEEE Transactions on Visualization and Computer Graphics.

[20]  Christophoros Nikou,et al.  Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering , 2011, IEEE Transactions on Information Technology in Biomedicine.

[21]  Hyacinth S. Nwana,et al.  Software agents: an overview , 1996, The Knowledge Engineering Review.

[22]  Ira Rudowsky,et al.  Intelligent Agents , 2004, Commun. Assoc. Inf. Syst..

[23]  K. Vivekanandan,et al.  A framework: Cluster detection and multidimensional visualization of automated data mining using intelligent agents , 2012, ArXiv.

[24]  A. Malinowski,et al.  Automated Data Mining from Web Servers Using Perl Script , 2008, 2008 International Conference on Intelligent Engineering Systems.

[25]  Ted Selker,et al.  COACH: a teaching agent that learns , 1994, CACM.

[26]  Chengqi Zhang,et al.  F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[27]  Michael D. Smith,et al.  Using Path Profiles to Predict HTTP Requests , 1998, Comput. Networks.

[28]  Kweku-Muata Osei-Bryson,et al.  A context-aware data mining process model based framework for supporting evaluation of data mining results , 2012, Expert Syst. Appl..

[29]  Alexander B. Bordetsky,et al.  Agent-based support for collaborative data mining in systems management , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[30]  Adam Wright,et al.  An automated technique for identifying associations between medications, laboratory results and problems , 2010, J. Biomed. Informatics.

[31]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[32]  Dorian Pyle,et al.  Data Preparation for Data Mining , 1999 .

[33]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[34]  Franco Zambonelli,et al.  Methodologies and software engineering for agent systems : the agent-oriented software engineering handbook , 2004 .

[35]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[36]  Vladimir Gorodetsky,et al.  Interaction of Agents and Data Mining in Ubiquitous Environment , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[37]  Peter Edwards,et al.  Distributed Learning: An Agent-Based Approach to Data-Mining , 1995 .

[38]  Chris Bowerman,et al.  Automated trend analysis of proteomics data using an intelligent data mining architecture , 2006, Expert Syst. Appl..