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CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 9 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
ICML
2000
IEEE
14 years 9 months ago
Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets
We introduce an expandable Bayesian network (EBN) to handle the combination of diverse multiple homogeneous evidence sets. An EBN is an augmented Bayesian network which instantiat...
Zu Whan Kim, Ramakant Nevatia
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
14 years 2 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
PKDD
2007
Springer
76views Data Mining» more  PKDD 2007»
14 years 2 months ago
Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning
Machine learning research often has a large experimental component. While the experimental methodology employed in machine learning has improved much over the years, repeatability ...
Hendrik Blockeel, Joaquin Vanschoren
COLING
2010
13 years 3 months ago
An Empirical Study on Web Mining of Parallel Data
This paper1 presents an empirical approach to mining parallel corpora. Conventional approaches use a readily available collection of comparable, nonparallel corpora to extract par...
Gum-Won Hong, Chi-Ho Li, Ming Zhou, Hae-Chang Rim