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» Online Algorithms for Mining Semi-structured Data Stream
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124
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ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
15 years 7 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
15 years 11 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
130
Voted
CATE
2004
190views Education» more  CATE 2004»
15 years 3 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
217
Voted
ICDE
2005
IEEE
180views Database» more  ICDE 2005»
16 years 3 months ago
A Unified Framework for Monitoring Data Streams in Real Time
Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, webclick st...
Ahmet Bulut, Ambuj K. Singh
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
16 years 2 months ago
Deriving marketing intelligence from online discussion
Weblogs and message boards provide online forums for discussion that record the voice of the public. Woven into this mass of discussion is a wide range of opinion and commentary a...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...