313 search results - page 8 / 63 » New Streaming Algorithms for Fast Detection of Superspreader... |
JCST
2008
13 years 8 months ago
2008
Detecting duplicates in data streams is an important problem that has a wide range of applications. In general, precisely detecting duplicates in an unbounded data stream is not fe...
CIKM
2009
Springer
13 years 12 months ago
2009
Springer
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
ICWSM
2009
13 years 6 months ago
2009
Events and stories can be characterized by a set of descriptive, collocated keywords. Intuitively, documents describing the same event will contain similar sets of keywords, and t...
VLDB
2005
ACM
14 years 2 months ago
2005
ACM
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...