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» Finding Frequent Items over General Update Streams
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APPROX
2004
Springer
108views Algorithms» more  APPROX 2004»
14 years 1 months ago
Estimating Frequency Moments of Data Streams Using Random Linear Combinations
The problem of estimating the kth frequency moment Fk for any nonnegative k, over a data stream by looking at the items exactly once as they arrive, was considered in a seminal pap...
Sumit Ganguly
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
14 years 8 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
GIS
2007
ACM
14 years 8 months ago
Partition-based lazy updates for continuous queries over moving objects
Continuous spatial queries posted within an environment of moving objects produce as their results a time-varying set of objects. In the most ambitious case both queries and data ...
Yu-Ling Hsueh, Roger Zimmermann, Haojun Wang, Wei-...
PODS
2006
ACM
122views Database» more  PODS 2006»
14 years 7 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...
SSDBM
2008
IEEE
177views Database» more  SSDBM 2008»
14 years 2 months ago
Prioritized Evaluation of Continuous Moving Queries over Streaming Locations
Abstract. Existing approaches to the management of streaming positional updates generally assume that all active user requests have equal importance, ignoring the possibility of an...
Kostas Patroumpas, Timos K. Sellis