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» On string classification in data streams
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NIPS
2008
13 years 9 months ago
Scalable Algorithms for String Kernels with Inexact Matching
We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
14 years 8 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
ICMCS
2006
IEEE
91views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Detecting Changes in User-Centered Music Query Streams
In this paper, we propose an efficient algorithm, called MQSchange (changes of Music Query Streams), to detect the changes of maximal melody structures in user-centered music quer...
Hua-Fu Li, Man-Kwan Shan, Suh-Yin Lee
SEMWEB
2010
Springer
13 years 5 months ago
Enhancing the Open-Domain Classification of Named Entity Using Linked Open Data
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
Yuan Ni, Lei Zhang, Zhaoming Qiu, Chen Wang
JMLR
2010
130views more  JMLR 2010»
13 years 2 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...