Name
Abstract | ||
|---|---|---|
We introduce the notion of dense region as distinct and meaningful patterns from given data. Efficient and effective algorithms for identifying such regions are presented. Next, we discuss extensions of the algorithms for handling data streams. Finally, experiments on large-scale data streams such as clickstreams are given which confirm that the usefulness of our algorithms. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-24775-3_14 | ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS |
Field | DocType | Volume |
Data mining,Data stream mining,Computer science,Algorithm,Knowledge extraction,Group method of data handling | Conference | 3056 |
ISSN | Citations | PageRank |
0302-9743 | 3 | 0.44 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andy M. Yip | 1 | 232 | 20.65 |
| EDMOND HAOCUN WU | 2 | 10 | 2.29 |
| Ng Michael | 3 | 4231 | 311.70 |
| Tony F. Chan | 4 | 8733 | 659.77 |