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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
15 years 10 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
ICMLA
2004
14 years 11 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
MOBIHOC
2006
ACM
15 years 9 months ago
Algorithmic aspects of communication in ad-hoc networks with smart antennas
Smart antennas have gained significant importance in multihop wireless networks in recent years, because of their sophisticated signal processing capabilities that hold the potent...
Karthikeyan Sundaresan, Weizhao Wang, Stephan Eide...
SDM
2007
SIAM
74views Data Mining» more  SDM 2007»
14 years 11 months ago
HACS: Heuristic Algorithm for Clustering Subsets
The term consideration set is used in marketing to refer to the set of items a customer thought about purchasing before making a choice. While consideration sets are not directly ...
Ding Yuan, W. Nick Street
DAMON
2008
Springer
14 years 11 months ago
CAM conscious integrated answering of frequent elements and top-k queries over data streams
Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi