8.45 |
Opening |
9.00 |
B. Racz, F. Bodon, L. Schmidt-Thieme: On Benchmarking Frequent Itemset Mining Algorithms: from Measurement to Analysis |
9.30 |
C. Borgelt: Keeping Things Simple: Finding Frequent Item Sets by Recursive Elimination |
9.45 |
T. Uno, M. Kiyomi, H. Arimura: LCM ver 3.: Collaboration of Array, Bitmap and Prefix Tree for Frequent Itemset Mining |
10.00 |
Coffee break |
10.30 |
C. Borgelt, T. Meinl, M. Berthold: MOSS: A Program for Molecular Substructure Mining |
11.00 |
C.I. Ezeife, Y. Lu, Y. Liu: PLWAP Sequential Mining: Open Source Code |
11.30 |
N.S. Ketkar, L.B. Holder, D.J. Cook: Subdue: Compression-Based Frequent Pattern Discovery in Graph Data |
11.45 |
F. Bodon: A Trie-based APRIORI Implementation for Mining Frequent Item Sequences |
12.00 |
Lunch |
12.30 |
13.00 |
13.30 |
Keynote talk: Geoff Webb Finding the Real Patterns
|
14.00 |
14.30 |
B. Sayrafi, D. Van Gucht, P.W. Purdom: On the Effectiveness and Efficiency of Computing Bounds on the Support of Item Sets in the Frequent Item Set Mining Problem |
15.00 |
Coffee break |
15.30 |
C. Borgelt: An Implementation of the FP-growth Algorithm |
16.00 |
M. ElHajj, O.R. Zaiane: Implementing Leap Traversals of the Itemset Lattice |
16.30 |
Closing |
17.00 |
KDD Opening |
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