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SIGMOD
2005
ACM
153views Database» more  SIGMOD 2005»
16 years 5 months ago
Multiple Aggregations Over Data Streams
Monitoring aggregates on IP traffic data streams is a compelling application for data stream management systems. The need for exploratory IP traffic data analysis naturally leads ...
Rui Zhang 0003, Nick Koudas, Beng Chin Ooi, Divesh...
PODS
2006
ACM
122views Database» more  PODS 2006»
16 years 5 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
15 years 3 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
15 years 6 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
15 years 6 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu