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APWEB
2006
Springer
15 years 10 months ago
Image Description Mining and Hierarchical Clustering on Data Records Using HR-Tree
Since we can hardly get semantics from the low-level features of the image, it is much more difficult to analyze the image than textual information on the Web. Traditionally, textu...
Congle Zhang, Sheng Huang, Gui-Rong Xue, Yong Yu
APNOMS
2008
Springer
15 years 8 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
ESANN
2004
15 years 8 months ago
Data Mining Techniques on the Evaluation of Wireless Churn
This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...
Jorge Ferreira, Marley B. R. Vellasco, Marco Aur&e...
TMM
2002
104views more  TMM 2002»
15 years 6 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
ICDE
2002
IEEE
146views Database» more  ICDE 2002»
16 years 8 months ago
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic
Network, web, and disk I/O traffic are usually bursty, self-similar [9, 3, 5, 6] and therefore can not be modeled adequately with Poisson arrivals[9]. However, we do want to model...
Mengzhi Wang, Ngai Hang Chan, Spiros Papadimitriou...