Invited Industrial Speakers

  1. P. S. Bradley, Bradley Data Consulting

    Keynote: Data Mining as an Automated Service
    Abstract:
      An automated data mining service o.ers an out-sourced, cost-e.ective analysis option for clients desiring to leverage their data resources for decision support and operational improvement. In the context of the service model, typically the client provides the service with data and other information likely to aid in the analysis process (e.g. domain knowledge, etc.). In return, the service provides analysis results to the client. We describe the required processes, issues, and challenges in automating the data mining and analysis process when the high-level goals are: (1) to provide the client with a high quality, pertinent analysis result; and (2) to automate the data mining service, minimizing the amount of human analyst e.ort required and the cost of delivering the service. We argue that by focusing on client problems within market sectors, both of these goals may be realized.

  2. Dr. Ramasamy Uthurusamy, General Director, General Motors Corporation

    Keynote: Trends and Challenges in the Industrial Applications of KDD Abstract:
      As an applications driven field, Knowledge Discovery in Databases and Data Mining (KDD) techniques have made considerable progress towards meeting the needs of these industrial and business specific applications. However, there are still considerable challenges facing this multidisciplinary field. Drawing from some industry specific applications this talk will cover the trends and challenges facing the researchers and practitioners of this rapidly evolving area. In particular, this talk will outline a set of issues that inhibit or delay the successful completion of an industrial application of KDD. This talk will also point out emerging and significant application areas that demand development of new KDD techniques by the researchers and practitioners. One such area is discovering patterns in temporal data. Another is the evolution of discovery algorithms that respond to changing data forms and streams. Finally, this talk will outline the emerging vertical solutions arena that is driven by business value, which is measured as a progress towards minimizing the gap between the needs of the business user and the accessibility and usability of analytic tools.

PAKDD2003 Homepage : http://aitrc.kaist.ac.kr/~pakdd03