| Bibtype |
Inproceedings |
| Bibkey |
Fricke/etal/2010c |
| Author |
Fricke, Peter and Stolpe, Marco |
| Ls8autor |
Fricke, Peter
Stolpe, Marco
|
| Title |
Implementing Hierarchical Heavy Hitters in RapidMiner: Solutions and Open Questions |
| Booktitle |
Proceedings of the RapidMiner Community Meeting And Conference (RCOMM 2010) |
| Abstract |
Huge masses of data and potentially infinite data streams pose big challenges to methods in data mining that analyse data off-line and in several passes. In the area of intrusion detection, algorithms that detect characteristical patterns in system call data could have to process several hundred megabytes of data per minute. We describe a plugin that contains algorithms for the aggregation of data streams by determining frequent tuples of hierarchical elements, so called Hierarchical Heavy Hitters. We further discuss more general questions concerning the current state of RapidMiner in relation to stream mining.
|
| Year |
2010 |
