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» MABAC - Matrix Based Clustering Algorithm
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200
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SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
13 years 4 months ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 7 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
211
Voted
IRFC
2011
Springer
14 years 5 months ago
Multilingual Document Clustering Using Wikipedia as External Knowledge
This paper presents Multilingual Document Clustering (MDC) on comparable corpora. Wikipedia, a structured multilingual knowledge base, has been highly exploited in many monolingual...
N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma
KDD
2009
ACM
160views Data Mining» more  KDD 2009»
15 years 8 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
TJS
2010
182views more  TJS 2010»
14 years 12 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari