3. PAKDD 1999:
: KDD as an Enterprise IT Tool: Reality and Agenda (Abstract).
: Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract).
Feature Selection and Generation
, Geoffrey I. Webb
: Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees.
: A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information.
Mining in Semi, Un-structured Data
Interestingness, Surprisingness, and Exceptions
Rough Sets, Fuzzy Logic, and Neural Networks
: Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion.
: Rule Discovery in Databases with Missing Values Based on Rough Set Model.
Induction, Classification, and Clustering
: A Lazy Model-Based Algorithm for On-Line Classification.
, Simon Hawkins
: Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem.
Causal Model and Graph-Based Methods
Agent-Based, and Distributed Data Mining
Advanced Topics and New Methodologies
: A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery (Extended Abstract).
, Nick Cercone
: Discretization of Continuous Attributes for Learning Classification Rules.