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Sašo Džeroski and Jan Struyf
Front matter
1-10
Value, Cost, and Sharing: Open Issues in Constrained Clustering
11-23
Mining Bi-sets in Numerical Data
24-41
Extending the Soft Constraint Based Mining Paradigm
42-62
On Interactive Pattern Mining from Relational Databases
63-80
Analysis of Time Series Data with Predictive Clustering Trees
81-96
Integrating Decision Tree Learning into Inductive Databases
97-115
Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets
116-133
An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results
134-151
Beam Search Induction and Similarity Constraints for Predictive Clustering Trees
152-169
Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDs
170-188
Extracting Trees of Quantitative Serial Episodes
189-207
IQL: A Proposal for an Inductive Query Language
208-222
Mining Correct Properties in Incomplete Databases
223-239
Efficient Mining Under Rich Constraints Derived from Various Datasets
240-258
Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-Growth
259-300
Towards a General Framework for Data Mining
Back matter
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