Searching for authors named "Srinivas Mukkamala" – sorted by Relevance.
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Feature Ranking and Selection for Intrusion Detection Systems Using Support Vector Machines
- Srinivas Mukkamala, Andrew H. Sung {srinivas, sung}@(email omitted); Department of Computer Science New Mexico
- Cited by 1 (0 self) – Add To MetaCart
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Data Mining Approach for Analyzing Call Center Performance, The
- , Ruiyuan Guo and Srinivas Mukkamala * Computer Science Department, Oklahoma State University, USA Computer
- Cited by 4 (1 self) – Add To MetaCart
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The Feature Selection and Intrusion Detection Problems
- The Feature Selection and Intrusion Detection Problems Andrew H. Sung & Srinivas Mukkamala
- Cited by 2 (0 self) – Add To MetaCart
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Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligent Techniques
- Features for Network Forensic Analysis Using Artificial Intelligent Techniques Srinivas Mukkamala 1
- Cited by 7 (1 self) – Add To MetaCart
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Identifying Key Variables for Intrusion Detection Using Soft Computing
- Mukkamala 1 , Andrew H. Sung 1,2 and Ajith Abraham 3 1 Department of Computer Science 2 Institute
- Cited by 2 (0 self) – Add To MetaCart
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Intrusion Detection Using an Ensemble of Intelligent Paradigms
- Intrusion detection using an ensemble of intelligent paradigms Srinivas Mukkamala a, *, Andrew H
- Cited by 4 (0 self) – Add To MetaCart
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Modeling intrusion detection systems using linear genetic programming approach
- Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach Srinivas Mukkamala
- Cited by 4 (1 self) – Add To MetaCart
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Intrusion Detection Systems Using Adaptive Regression Splines
- Intrusion Detection Systems Using Adaptive Regression Splines Srinivas Mukkamala 1 , Andrew H
- Cited by 3 (2 self) – Add To MetaCart
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Intrusion Detection Using Ensemble of Soft Computing Paradigms
- Intrusion Detection Using Ensemble of Soft Computing Paradigms Srinivas Mukkamala 1 , Andrew H
- Cited by 11 (9 self) – Add To MetaCart
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Hybrid Multi-Agent Framework for Detection of Stealthy Probes
- + Models Abstract Hybrid multi-agent framework for detection of stealthy probes Srinivas Mukkamala
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