INTELLIGENT AGENTS: A DATA MINING PERSPECTIVE

"The future of computing will be 100% driven by delegating to, rather than manipulating, computers." NICHOLAS NEGROPONTE Founding director of the Media Lab at MIT In recent years, agents become a very popular paradigm in computing because of their flexibility, modularity and general applicability to a wide range of problems. Technological developments in distributed computing, robotics and the emergence of object-orientation have given rise to such technologies to model distributed problem solving. The inherent parallelism and complexity of the classification and discovering patterns from large amounts of data can be delegated to intelligent software agents in this context. In this paper, the agent paradigm along with the main applications and the use of this technology in data mining are briefly discussed.

[1]  Aaron Kershenbaum,et al.  Mobile Agents: Are They a Good Idea? , 1996, Mobile Object Systems.

[2]  Arthur C. Graesser,et al.  Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.

[3]  Terry R. Payne,et al.  Interface Agents That Learn an Investigation of Learning Issues in a Mail Agent Interface , 1997, Appl. Artif. Intell..

[4]  Robert H. Gross,et al.  Web Page Categorization and Feature Selection Using Association Rule and Principal Component Cluster , 1997 .

[5]  Terry R. Payne,et al.  Experience with Rule Induction and k-Nearest Neighbor Methods for Interface Agents that Learn , 1997, IEEE Trans. Knowl. Data Eng..

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

[7]  Michael R. Genesereth,et al.  Software agents , 1994, CACM.

[8]  Michael Wooldridge,et al.  Sofware Agent Technologies , 1997, Software Agents and Soft Computing.

[9]  Jon Doyle,et al.  Strategic directions in artificial intelligence , 1996, CSUR.

[10]  Danny B. Lange,et al.  Seven good reasons for mobile agents , 1999, CACM.

[11]  Jaideep Srivastava,et al.  Web mining: information and pattern discovery on the World Wide Web , 1997, Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence.

[12]  Oren Etzioni,et al.  The World-Wide Web: quagmire or gold mine? , 1996, CACM.

[13]  Chuanyi Ji,et al.  Intelligent Agents for Proactive Fault Detection , 1998, IEEE Internet Comput..

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

[15]  Timothy W. Finin,et al.  KQML as an agent communication language , 1994, CIKM '94.

[16]  Bjorn Hermans,et al.  Intelligent software agents on the internet: An inventory of currently offered functionality in the , 1996 .

[17]  Jennifer Bigus,et al.  Constructing Intelligent Agents with Java: A Programmer's Guide to Smarter Applications , 1997 .

[18]  Alan T. Schroeder Data mining with neural networks: Solving business problems from application development to decision support , 1997 .

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

[20]  Vasant Honavar,et al.  Mobile Intelligent Agents for Document Classification and Retrieval: A Machine Learning Approach , 1998 .

[21]  Yiannis Aloimonos,et al.  Artificial intelligence - theory and practice , 1995 .

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