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» When to Update the sequential patterns of stream data
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
13 years 12 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
PR
2008
141views more  PR 2008»
13 years 7 months ago
Robust and efficient multiclass SVM models for phrase pattern recognition
Phrase pattern recognition (phrase chunking) refers to automatic approaches for identifying predefined phrase structures in a stream of text. Support vector machines (SVMs)-based ...
Yu-Chieh Wu, Yue-Shi Lee, Jie-Chi Yang
IPPS
2003
IEEE
14 years 18 days ago
Distributed Process Networks in Java
Kahn defined a formal model for networks of processes that communicate through channels carrying streams of data tokens. His mathematical results show the necessary conditions fo...
Thomas M. Parks, David Roberts
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 7 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
13 years 11 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...