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» Evaluating algorithms that learn from data streams
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AINA
2007
IEEE
14 years 4 months ago
Data Stream Based Algorithms For Wireless Sensor Network Applications
Abstract— A wireless sensor network (WSN) is energy constrained, and the extension of its lifetime is one of the most important issues in its design. Usually, a WSN collects a la...
André L. L. de Aquino, Carlos Mauricio S. F...
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 9 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang

Publication
309views
15 years 9 months ago
SOLE: Scalable On-Line Execution of Continuous Queries on Spatio-temporal Data Streams
This paper presents the Scalable On-Line Execution algorithm (SOLE, for short) for continuous and on-line evaluation of concurrent continuous spatio- temporal queries over data str...
Mohamed F. Mokbel, Walid G. Aref
IDA
2002
Springer
13 years 9 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
INTERSPEECH
2010
13 years 4 months ago
Data-dependent evaluator modeling and its application to emotional valence classification from speech
Practical supervised learning scenarios involving subjectively evaluated data have multiple evaluators, each giving their noisy version of the hidden ground truth. Majority logic ...
Kartik Audhkhasi, Shrikanth S. Narayanan