| Thema |
Vortragender |
Folien |
Ausarbeitung |
| Frequent Item set Mining Methods |
Julianna Katalin Sipos |
ppt |
|
| Hierarchical, Parameter-Free Community Discovery |
Jens Kirch |
pdf |
|
| Distributed Decision Tree Induction in Peer-to-Peer Systems |
Simona Florescu |
pdf |
|
| Large Margin Methods for Structured and interdependent Output Variables |
Hendrik Blom |
pdf |
|
| Ontologies are us: A unified model of social networks and semantics |
Christopher Sonneborn |
pdf |
|
| Sequential minimal optimization: A fast Algorithm for Training Support Vector machines |
Joerg Nitschke |
pdf |
|
| A Tutorial on Support Vector Machines for Pattern Recognition |
Marcel Fitzner |
pdf |
|
| Andere Möglichkeiten des Data Mining in verteilten Systemen |
Mathias Rohde |
pdf |
|
| Mining conjunctive sequential patterns |
Manh Linh Nguyen |
pdf |
|
| Frequent String Mining in mehreren Datenbanken |
Peter Fricke |
pdf |
|
| A Fast Algorithm to Find Overlapping Communities in Networks |
Bianca Selzam |
pdf |
|
| Strukturelle SVM zum Graph-labelling |
Florian Blümel |
pdf |
|
| Tight Optimistic Estimates for Fast Subgroup Discovery |
Kathrin Rösner |
pdf |
|
| Item Sets that Compress |
Niels Ackermann |
pdf(gif) |
pdf |
