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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 5 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
JDA
2008
100views more  JDA 2008»
13 years 5 months ago
Efficient sampling of random permutations
We show how to uniformly distribute data at random (not to be confounded with permutation routing) in two settings that are able to deal with massive data: coarse grained parallel...
Jens Gustedt
EDOC
2003
IEEE
13 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...
EUROPAR
2007
Springer
13 years 11 months ago
Are P2P Data-Dissemination Techniques Viable in Today's Data-Intensive Scientific Collaborations?
The interest among a geographically distributed user base to mine massive collections of scientific data propels the need for efficient data dissemination solutions. An optimal dat...
Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi...
TPDS
2008
262views more  TPDS 2008»
13 years 5 months ago
Efficient and Secure Content Processing and Distribution by Cooperative Intermediaries
Content services such as content filtering and transcoding adapt contents to meet system requirements, display capacities, or user preferences. Data security in such a framework is...
Yunhua Koglin, Danfeng Yao, Elisa Bertino