SIGKDD Awards

ACM SIGKDD is pleased to announce the winners of the best paper awards for 1997.

BEST RESEARCH PAPER: WINNER

An efficient approach to clustering in large multimedia databases with noise
Alexander Hinneburg, and Daniel Keim

BEST RESEARCH PAPER: RUNNER-UP

A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
Eamonn Keogh, and Padhraic Smyth

BEST APPLICATION PAPER: WINNER

Detecting Atmospheric Regimes using Cross-Validated Clustering

Padhraic Smyth, Michael Ghil, Kayo Ide, Joe Roden, and Andrew Fraser

BEST APPLICATION PAPER: RUNNER-UP

JAM: Java Agents for Meta-Learning over Distributed Databases

Sal Stolfo , A. Prodromidis, and P. Chan