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» Mining data streams with periodically changing distributions
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NCA
2007
IEEE
14 years 3 months ago
Implementing Atomic Data through Indirect Learning in Dynamic Networks
Developing middleware services for dynamic distributed systems, e.g., ad-hoc networks, is a challenging task given that such services deal with dynamically changing membership and...
Kishori M. Konwar, Peter M. Musial, Nicolas C. Nic...
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
14 years 6 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
MM
2005
ACM
184views Multimedia» more  MM 2005»
14 years 2 months ago
A peer-to-peer network for live media streaming using a push-pull approach
In this paper, we present an unstructured peer-to-peer network called GridMedia for live media streaming employing a push-pull approach. Each node in GridMedia randomly selects it...
Meng Zhang, Jian-Guang Luo, Li Zhao, Shi-Qiang Yan...
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
14 years 9 months ago
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry ...
Cyrus Shahabi, Farnoush Banaei Kashani
ICDE
2007
IEEE
174views Database» more  ICDE 2007»
14 years 3 months ago
Adapting Partitioned Continuous Query Processing in Distributed Systems
Partitioned query processing is an effective method to process continuous queries with large stateful operators in a distributed systems. This method typically partitions input da...
Yali Zhu, Elke A. Rundensteiner