Dynamically Emerging Semantics in an MPEG-7 Image Database
The Computer Journal
Real Time Change Detection and Alerts from Highway Traffic Data
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
DDDM2007: Domain Driven Data Mining
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Towards a general framework for data mining
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
A subspace decision cluster classifier for text classification
Expert Systems with Applications: An International Journal
INCONCO: interpretable clustering of numerical and categorical objects
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
An ensemble of decision cluster crotches for classification of high dimensional data
Knowledge-Based Systems
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We discuss what makes exciting and motivating Grand Challenge problems for Data Mining, and propose criteria for a good Grand Challenge. We then consider possible GC problems from multimedia mining, link mining, large-scale modeling, text mining, and proteomics. This report is the result of a panel held at KDD-2006 conference.