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» Approximate Frequency Counts over Data Streams
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SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
15 years 9 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang
77
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TKDE
2010
151views more  TKDE 2010»
14 years 8 months ago
Duplicate-Insensitive Order Statistics Computation over Data Streams
—Duplicates in data streams may often be observed by the projection on a subspace and/or multiple recordings of objects. Without the uniqueness assumption on observed data elemen...
Ying Zhang, Xuemin Lin, Yidong Yuan, Masaru Kitsur...
DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
15 years 4 months ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner
SSD
2007
Springer
243views Database» more  SSD 2007»
15 years 3 months ago
Continuous Medoid Queries over Moving Objects
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Stavros Papadopoulos, Dimitris Sacharidis, Kyriako...
IDA
2008
Springer
14 years 9 months ago
Mining frequent items in a stream using flexible windows
We study the problem of finding frequent items in a continuous stream of itemsets. A new frequency measure is introduced, based on a flexible window length. For a given item, its ...
Toon Calders, Nele Dexters, Bart Goethals