Date: Wed, 17 Feb 1999 10:56:15 -0500 From: Ravi Krovi krovir@ncat.edu Subject: Data Mining Sessions in AI track, Americas Conference on Information Systems We will be having a few sessions in Data Mining in the AI track. For those who are interested in submitting papers on data mining applications, please see below. ------------------------------------------------------------------------- 1999 Americas Conference on Information Systems Milwaukee, WI August 13-15, 1999 ---------------------------------------------------------------- ARTIFICIAL INTELLIGENCE APPLICATIONS ----------------------------------------------------------------- CFP: http://vision.acc.ilstu.edu/bj/web/ais99/aitrack.html Reviewer Volunteer Form: http://vision.acc.ilstu.edu/bj/Web/ais99/rev.htm Contact: ------------ Please direct all submissions and inquiries to Balaji (BJ) Rajagopalan at brajag@ilstu.edu Track Chairs: ------------------- Balaji Rajagopalan, Illinois State University Ravi Krovi, North Carolina A&T State University Akhilesh Chandra, North Carolina A&T State University Description: As businesses everywhere raise the bar on performance, old reliable methods of decision making aren't enough to meet the challenge. New decision aids are being explored to help achieve business goals and support business strategies. Artificial intelligence (AI) is among the forefront of such innovations. A major trend in recent DSS research is the usage of AI based concepts and tools. AI tools and concepts lend themselves to the complexity of problems in the business domains. Decision processes and consequently outcomes in the business domain are characterized by varying dimensions of unstructuredness: information uncertainty, competing models, underlying assumptions etc. AI paradigms based on both symbolic as well as connectionist approaches are being applied in novel business applications resulting in dramatic improvements in the efficiency and effectiveness of decisions. Further, core IS areas such as group decision processes, information flow, technology diffusion, end-user learning and even process re-engineering are being understood better with AI concepts and models. The proposed minitrack will be a forum for interaction and sharing of ideas among researchers interested in AI applications in the business domain. Important Dates: ----------------------- Submission: March 1, 1999 Notification of acceptance: April 2, 1999 Camera Ready Copy due: April 30, 1999
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