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» Mining data streams: a review
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JCP
2006
111views more  JCP 2006»
13 years 8 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 10 months ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu
PR
2007
81views more  PR 2007»
13 years 8 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
SIGMOD
2003
ACM
126views Database» more  SIGMOD 2003»
14 years 9 months ago
Issues in data stream management
Traditional databases store sets of relatively static records with no pre-defined notion of time, unless timestamp attributes are explicitly added. While this model adequately rep...
Lukasz Golab, M. Tamer Özsu
CIKM
2008
Springer
13 years 10 months ago
Efficient frequent pattern mining over data streams
This paper proposes a prefix-tree structure, called CPS-tree (Compact Pattern Stream tree) that efficiently discovers the exact set of recent frequent patterns from high-speed dat...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...