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» Evaluating algorithms that learn from data streams
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MLMTA
2003
15 years 9 months ago
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers
— This work shows comparatively the capacity of five Fuzzy Lattice Neurocomputing (FLN) classifiers. The mechanics of the five classifiers are illustrated geometrically on the pl...
Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, ...
INFOCOM
2009
IEEE
16 years 2 months ago
Event Recognition in Sensor Networks by Means of Grammatical Inference
Abstract—Modern military and civilian surveillance applications should provide end users with the high level representation of events observed by sensors rather than with the raw...
Sahin Cem Geyik, Boleslaw K. Szymanski
198
Voted
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
16 years 1 months ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou
220
Voted
BIOSURVEILLANCE
2008
Springer
15 years 9 months ago
A Temporal Extension of the Bayesian Aerosol Release Detector
Early detection of bio-terrorist attacks is an important problem in public health surveillance. In this paper, we focus on the detection and characterization of outdoor aerosol rel...
Xiaohui Kong, Garrick L. Wallstrom, William R. Hog...
SIGMOD
2003
ACM
115views Database» more  SIGMOD 2003»
16 years 7 months ago
Querying Structured Text in an XML Database
XML databases often contain documents comprising structured text. Therefore, it is important to integrate "information retrieval style" query evaluation, which is well-s...
Shurug Al-Khalifa, Cong Yu, H. V. Jagadish