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JCST
2008
121views more  JCST 2008»
13 years 8 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 5 months ago
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
Kamalika Das, Kanishka Bhaduri, Sugandha Arora, We...
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 6 months ago
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
Data stream classification poses many challenges, most of which are not addressed by the state-of-the-art. We present DXMiner, which addresses four major challenges to data stream ...
Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Kh...
JCST
2007
76views more  JCST 2007»
13 years 8 months ago
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams
Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu
DIS
2009
Springer
14 years 3 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...