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DKE
2006
125views more  DKE 2006»
15 years 3 months ago
Online clustering of parallel data streams
In recent years, the management and processing of so-called data streams has become a topic of active research in several fields of computer science such as, e.g., distributed sys...
Jürgen Beringer, Eyke Hüllermeier
108
Voted
DIS
2006
Springer
15 years 7 months ago
Mining Sectorial Episodes from Event Sequences
In this paper, we introduce a sectorial episode of the form C r, where C is a set of events and r is an event. The sectorial episode C r means that every event of C is followed b...
Takashi Katoh, Kouichi Hirata, Masateru Harao
FINTAL
2006
15 years 7 months ago
A Text Mining Approach for Definition Question Answering
This paper describes a method for definition question answering based on the use of surface text patterns. The method is specially suited to answer questions about person's po...
Claudia Denicia-Carral, Manuel Montes-y-Góm...
ICML
2010
IEEE
15 years 1 months ago
Mining Clustering Dimensions
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
Sajib Dasgupta, Vincent Ng
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles