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CIKM
2004
Springer
15 years 7 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
ACISP
2000
Springer
15 years 6 months ago
High Performance Agile Crypto Modules
This paper examines the impact of the primary symmetric key cryptographic operation on network data streams, encryption of user data, have on the overall tra c throughput. The encr...
Chandana Gamage, Jussipekka Leiwo, Yuliang Zheng
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
13 years 9 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
110
Voted
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 2 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
119
Voted
ICPR
2002
IEEE
16 years 2 months ago
Video Clip Recognition Using Joint Audio-Visual Processing Model
The automatic recognition of video clips is an important capability with applications in broadcast monitoring for content theft and adherence to advertisement campaign. In this pa...
Victor Kulesh, Valery A. Petrushin, Ishwar K. Seth...