Titlebook: Data Streams; Models and Algorithm Charu C. Aggarwal Book 2007 Springer-Verlag US 2007 algorithm.algorithms.data.data streams.database.freq

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Springer Optimization and Its Applicationsion. We also discuss the problem of change detection in the context of graph data, and illustrate that it may often be useful to determine communities of evolution in graph environments..The presence of evolution in data streams may also change the underlying data to the extent that the underlying d

ANTE

António R.C. Paiva,Il Park,José C. Prínciped data in a multi-resolution model: The more recent data are registered at finer resolution, whereas the more distant data are registered at coarser resolution. This design reduces the overall storage requirements of time-related data and adapts nicely to the data analysis tasks commonly encountered

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exacerbate

思想上升

即席

AUGER

Multi-Dimensional Analysis of Data Streams Using Stream Cubes,d data in a multi-resolution model: The more recent data are registered at finer resolution, whereas the more distant data are registered at coarser resolution. This design reduces the overall storage requirements of time-related data and adapts nicely to the data analysis tasks commonly encountered

Exuberance

CEDE

Zeb Kurth-Nelson,A. David Redishl and pertinent than older data. In such cases, we would like to answer questions about the data only over the last . most recent data elements (. is a parameter). We formalize this model of computation and answer questions about how much space and computation time is required to solve certain problems under the sliding-window model.

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