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EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
14 years 3 months ago
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ICASSP
2011
IEEE
13 years 23 days ago
Modified embedding for multi-regime detection in nonstationary streaming data
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
Evan Kriminger, José Carlos Príncipe...
VLDB
2004
ACM
203views Database» more  VLDB 2004»
14 years 2 months ago
PLACE: A Query Processor for Handling Real-time Spatio-temporal Data Streams
The emergence of location-aware services calls for new real-time spatio-temporal query processing algorithms that deal with large numbers of mobile objects and queries. In this de...
Mohamed F. Mokbel, Xiaopeng Xiong, Walid G. Aref, ...
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 10 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
DAWAK
2008
Springer
13 years 10 months ago
Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams
Abstract. We investigate the problem of finding frequent patterns in a continuous stream of transactions. It is recognized that the approximate solutions are usually sufficient and...
Willie Ng, Manoranjan Dash