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» Online Algorithms for Mining Semi-structured Data Stream
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SAC
2009
ACM
15 years 8 months ago
Online annotation and prediction for regime switching data streams
Regime switching models, in which the state of the world is locally stationary, are a useful abstraction for many continuous valued data streams. In this paper we develop an onlin...
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Ada...
DMKD
2003
ACM
148views Data Mining» more  DMKD 2003»
15 years 7 months ago
A symbolic representation of time series, with implications for streaming algorithms
The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bil...
ICDE
2008
IEEE
135views Database» more  ICDE 2008»
16 years 3 months ago
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
In this paper, we address the problem of extending a relational database system to facilitate efficient real-time application of dynamic probabilistic models to streaming data. he ...
Bhargav Kanagal, Amol Deshpande
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don
DAWAK
2006
Springer
15 years 5 months ago
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
Jia-Ling Koh, Shu-Ning Shin