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EDOC
2003
IEEE
15 years 10 months ago
An Efficient, Scalable Content-Based Messaging System
Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeri...
Ian Gorton, Justin Almquist, Nick Cramer, Jereme H...
131
Voted
CORR
2008
Springer
65views Education» more  CORR 2008»
15 years 5 months ago
Revisiting Norm Estimation in Data Streams
We revisit the problem of (1
Jelani Nelson, David P. Woodruff
CIKM
2004
Springer
15 years 10 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
184
Voted
IJIT
2004
15 years 6 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi
PVLDB
2008
216views more  PVLDB 2008»
15 years 3 months ago
Ad-hoc data processing in the cloud
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, ...
Dionysios Logothetis, Ken Yocum