Sponsored by the Association for the Advancement of Artificial Intelligence
The Third International Conference on Knowledge Discovery and Data Mining was held August 27 – 31, 1998, in New York, New York. The conference was collocated with the Conference on Very Large Databases (VLDB)
Business and scientific endeavors now routinely gather large quantities of data that can help with understanding critical problems and with making strategic and tactical decisions. However, manual analysis becomes difficult as databases grow, and techniques for discovering and extracting knowledge automatically become necessary.
The Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98) addressed the science and technology of automated discovery, drawing from the fields of statistics, databases, machine learning, data visualization, high performance computing, knowledge acquisition, and knowledge-based systems. Besides scientific and technical contributions from the latest research and applications, the 1998 program also featured free tutorials given by leading experts, demonstrations by leading tool vendors, and several invited talks summarizing the state of the art and looking forward to the future. The field’s interdisciplinary nature facilitated the cross-fertilization of ideas, and this conference was collocated with the 24th International Conference on Very Large Databases (VLDB-98).
Best Paper Awards
The following papers were chosen from among all KDD-98 plenary papers and were judged on the basis of presentation, relevance, significance, and originality of their contribution to the field of KDD. These papers are the best of the best. Acceptance alone to KDD-98 is a considerable achievement: only 68 papers were accepted out of 247 submitted. Each award carries a commemorative plaque and a check for $1000, sponsored by Knowledge Stream Partners (thanks to Robert van der Hooning).
Best Paper Award — Fundamental Research Category
Occam’s Two Razors: The Sharp and the Blunt
Honorable Mentions — Fundamental Research Category
Rule Discovery from Time Series
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Renganathan, and Padhraic Smyth
An Efficient Approach to Clustering in Large Multimedia Databases with Noise
Alexander Hinneburg and Daniel Keim
Best Paper Award — Applied Research Category
Finding Frequent Substructures in Chemical Compounds
Luc Dehaspe, Hannu Toivonen and Ross D. King
Best Paper Award — Honorable Mention
Mining Audit Data to Build Intrusion Detection Models
Wenke Lee, Salvatore Stolfo and Kui Mok
Special thanks are in order for the Awards Committee members, who each volunteered to read more than a dozen papers (beyond their normal reviewing duties) to help select the winners. The awards were presented during the opening of the conference (Thursday August 27 at 1:30pm).
Three workshops were held on Monday, August 31 from 9:00 AM – 5:00 pm. Admission to the workshops was by invitation only; registration forms were sent to the accepted participants. There was an additional registration fee of $100, which covered the workshop sessions, preprints
and coffee breaks.
- Workshop KW1: Data Mining in Finance
- Workshop KW2: Distributed Data Mining
- Workshop KW3: Keys to the Commercial Success of Data Mining