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ICMLA
2004
15 years 8 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
16 years 1 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani
ICDM
2007
IEEE
126views Data Mining» more  ICDM 2007»
16 years 26 days ago
Exploration of Link Structure and Community-Based Node Roles in Network Analysis
Communities are nodes in a network that are grouped together based on a common set of properties. While the communities and link structures are often thought to be in alignment, i...
Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfaha...
ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
16 years 16 days ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
CSE
2009
IEEE
15 years 11 months ago
Quantifying Reciprocity in Social Networks
In this paper we propose a new reciprocity index for quantifying social relationships based on mobile phone call detail records and Twitter blogs. We use this reciprocity index to ...
Huiqi Zhang, Ram Dantu, João W. Cangussu