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» Analysis of variance for fuzzy data
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IEEEIAS
2009
IEEE
15 years 8 months ago
Fuzzy Intrusion Detection System via Data Mining Technique with Sequences of System Calls
: There are two main approaches for implementing IDS; Host based and Network based. While the former is implemented in form of software deployed on a host, the latter, usually is b...
Mohammad Akbarpour Sekeh, Mohd. Aizani Bin Maarof
133
Voted
IJCNN
2000
IEEE
15 years 6 months ago
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hi...
127
Voted
ICANN
2003
Springer
15 years 7 months ago
Self-Organizing Operator Maps in Complex System Analysis
Abstract. The growth in amount of data available today has encouraged the development of effective data analysis methods to support human decision-making. Neuro-fuzzy computation ...
Pasi Lehtimäki, Kimmo Raivio, Olli Simula
ICANN
2007
Springer
15 years 5 months ago
Fuzzy Classifiers Based on Kernel Discriminant Analysis
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
Ryota Hosokawa, Shigeo Abe
119
Voted
AI
2007
Springer
15 years 8 months ago
Fuzzy Clustering for Topic Analysis and Summarization of Document Collections
Abstract. Large document collections, such as those delivered by Internet search engines, are difficult and time-consuming for users to read and analyse. The detection of common an...
René Witte, Sabine Bergler