AgentDiscover: A Multi-Agent System for Knowledge Discovery from Databases

AgentDiscover is a multi-agent based intelligent recommendation system, supporting real-time control and feedback, for building and execution workflows for knowledge discovery from databases (KDD). The aim of the proposed system is to deal with the complexity of KDD processes and to offer a tool that supports both researchers exploring KDD methods and non-expert users looking for quick results in this field. A prototype was developed in JADE and the approach was tested for a medical dataset.

[1]  Antonio F. Gómez-Skarmeta,et al.  METALA: A Meta-learning Architecture , 2001, Fuzzy Days.

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

[3]  Viorel Negru,et al.  An Extensible Environment for Expert System Development , 2003, KES.

[4]  Giovanna Castellano,et al.  Meta-data: Characterization of Input Features for Meta-learning , 2005, MDAI.

[5]  A S » I Informatic,et al.  SISTEME INTELIGENTE PENTRU MODELAREA S»I EXTRAGEREA CUNOS»TINT »ELOR , 2006 .

[6]  Alexandros Kalousis,et al.  Algorithm selection via meta-learning , 2002 .

[7]  Melody Y. Kiang,et al.  A comparative assessment of classification methods , 2003, Decis. Support Syst..

[8]  Christopher J. Merz,et al.  UCI Repository of Machine Learning Databases , 1996 .

[9]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[10]  Yong Cheng,et al.  MAGE: An Agent-Oriented Programming Environment , 2004 .

[11]  Todd R. Johnson,et al.  Generic tasks and task structures: history, critique and new directions , 1993 .

[12]  Thomas Reinartz,et al.  CRISP-DM 1.0: Step-by-step data mining guide , 2000 .

[13]  Pericles A. Mitkas,et al.  Agent intelligence through data mining , 2006, Multiagent systems, artificial societies, and simulated organizations.

[14]  Mohammad Al Hasan,et al.  DMTL : A Generic Data Mining Template Library , 2005 .

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

[16]  Martin L. Griss,et al.  Multi-agent cooperation, dynamic workflow and XML for e-commerce automation , 2000, AGENTS '00.

[17]  Reid Simmons,et al.  Second Generation Expert Systems , 1993, Springer Berlin Heidelberg.

[18]  Ron Kohavi,et al.  Data Mining Using MLC a Machine Learning Library in C++ , 1996, Int. J. Artif. Intell. Tools.

[19]  Qing He,et al.  Execution Engine of Meta-learning System for KDD in Multi-agent Environment , 2005, AIS-ADM.

[20]  Hsinchun Chen,et al.  Design and evaluation of a multi-agent collaborative Web mining system , 2003, Decis. Support Syst..

[21]  Salvatore J. Stolfo,et al.  JAM: Java Agents for Meta-Learning over Distributed Databases , 1997, KDD.

[22]  Calin Sandru,et al.  A Multi-Agent Problem Solving Architecture based on UPML , 2005, Artificial Intelligence and Applications.

[23]  John J. McCarthy,et al.  The Rule Engine for the Java Platform , 2008 .

[24]  Catherine Blake,et al.  UCI Repository of machine learning databases , 1998 .

[25]  Karl Rihaczek,et al.  1. WHAT IS DATA MINING? , 2019, Data Mining for the Social Sciences.

[26]  Calin Sandru,et al.  Multi-Agent Architecture for Knowledge Discovery , 2006, 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.