583 search results - page 80 / 117 » Mining evolving data streams for frequent patterns |
KDD
2005
ACM
15 years 3 months ago
2005
ACM
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
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CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
FUIN
2008
14 years 9 months ago
2008
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern m...
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JUCS
2010
14 years 8 months ago
2010
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...