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ICTAI
2007
IEEE
14 years 2 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
13 years 9 months ago
A Stagewise Least Square Loss Function for Classification
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Shuang-Hong Yang, Bao-Gang Hu
IPPS
2009
IEEE
14 years 2 months ago
Performance evaluation of gang scheduling in a two-cluster system with migrations
Gang scheduling is considered to be a highly effective task scheduling policy for distributed systems. In this paper we present a migration scheme which reduces the fragmentation ...
Zafeirios C. Papazachos, Helen D. Karatza
DEBS
2008
ACM
13 years 9 months ago
Speculative out-of-order event processing with software transaction memory
In event stream applications, events flow through a network of components that perform various types of operations, e.g., filtering, aggregation, transformation. When the operatio...
Andrey Brito, Christof Fetzer, Heiko Sturzrehm, Pa...
XSYM
2009
Springer
139views Database» more  XSYM 2009»
14 years 2 months ago
A Data Parallel Algorithm for XML DOM Parsing
Abstract. The extensible markup language XML has become the de facto standard for information representation and interchange on the Internet. XML parsing is a core operation perfor...
Bhavik Shah, Praveen Rao, Bongki Moon, Mohan Rajag...