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» Warping the time on data streams
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98
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DIS
2004
Springer
15 years 6 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
ICDE
2008
IEEE
122views Database» more  ICDE 2008»
16 years 2 months ago
Exponentially Decayed Aggregates on Data Streams
In a massive stream of sequential events such as stock feeds, sensor readings, or IP traffic measurements, tuples pertaining to recent events are typically more important than olde...
Graham Cormode, Flip Korn, Srikanta Tirthapura
125
Voted
PRIS
2004
15 years 2 months ago
Similarity Range Queries in Streaming Time Series
Similarity search in time series databases is an important research direction. Several methods have been proposed in order to provide algorithms for efficient query processing in t...
Maria Kontaki, Apostolos Papadopoulos, Yannis Mano...
120
Voted
ESCAPE
2007
Springer
212views Algorithms» more  ESCAPE 2007»
15 years 7 months ago
Streaming Algorithms for Data in Motion
We propose two new data stream models: the reset model and the delta model, motivated by applications to databases, and to tracking the location of spatial points. We present algor...
Michael Hoffmann 0002, S. Muthukrishnan, Rajeev Ra...
139
Voted
EDBT
2004
ACM
174views Database» more  EDBT 2004»
16 years 26 days ago
Processing Data-Stream Join Aggregates Using Skimmed Sketches
There is a growing interest in on-line algorithms for analyzing and querying data streams, that examine each stream element only once and have at their disposal, only a limited amo...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...