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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
14 years 8 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
DEXA
2010
Springer
266views Database» more  DEXA 2010»
13 years 8 months ago
DBOD-DS: Distance Based Outlier Detection for Data Streams
Data stream is a newly emerging data model for applications like environment monitoring, Web click stream, network traffic monitoring, etc. It consists of an infinite sequence of d...
Md. Shiblee Sadik, Le Gruenwald
VLDB
2005
ACM
86views Database» more  VLDB 2005»
14 years 1 months ago
One-Pass Wavelet Synopses for Maximum-Error Metrics
We study the problem of computing waveletbased synopses for massive data sets in static and streaming environments. A compact representation of a data set is obtained after a thre...
Panagiotis Karras, Nikos Mamoulis
WWW
2006
ACM
14 years 8 months ago
Online mining of frequent query trees over XML data streams
In this paper, we proposed an online algorithm, called FQT-Stream (Frequent Query Trees of Streams), to mine the set of all frequent tree patterns over a continuous XML data strea...
Hua-Fu Li, Man-Kwan Shan, Suh-Yin Lee
CIKM
2006
Springer
13 years 11 months ago
Resource-aware kernel density estimators over streaming data
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
Christoph Heinz, Bernhard Seeger