Stream Mining Project
Stream Data Management
Topic Map related document
Data Mining and Clustering
- G. S. Manku and R. Motwani. Approximate Frequency
Counts over Streaming Data
In Proc. of the 28th International Conference
on Very Large Data Bases (VLDB 2002), August 2002
- S. Guha, N. Mishra, R. Motwani, and L. O'Callaghan. Clustering
In Proc. of the Annual Symp. on Foundations of Computer
Science (FOCS 2000), November 2000
We study clustering
under the data stream model of computation where given a sequence of points, the
objective is to maintain a consistently good clustering of the sequence observed
so far using little memory and time.
- L. O'Callaghan, N. Mishra, A. Meyerson, S. Guha, and R. Motwani. High-Performance
Clustering of Streams and Large Data Sets
In Proc. of the 2002 Intl.
Conference on Data Engineering (ICDE 2002), February 2002
We give innovative techniques to transform theoretically well-founded
algorithms for clustering into ones that perform well in practice. We further
show that their performance is competitive with popular empirical approaches for
clustering data streams.
- Mining High Speed Data Streams http://citeseer.nj.nec.com/domingos00mining.html