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A Regression-Based Temporal Pattern Mining Scheme for Data Streams
[chapter]
2003
Proceedings 2003 VLDB Conference
We devise in this paper a regression-based algorithm, called algorithm FTP-DS (Frequent Temporal Patterns of Data Streams), to mine frequent temporal patterns for data streams. While providing a general framework of pattern frequency counting, algorithm FTP-DS has two major features, namely one data scan for online statistics collection and regressionbased compact pattern representation. To attain the feature of one data scan, the data segmentation and the pattern growth scenarios are explored
doi:10.1016/b978-012722442-8/50017-3
dblp:conf/vldb/TengCY03
fatcat:vhafzvjx3ra7lgtkfzlrt5t5di