2011
DOI: 10.1007/978-3-642-22786-8_11
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of Performance for Intrusion Detection System Using Different Rules of Classification

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2017
2017

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 5 publications
0
1
0
Order By: Relevance
“…[15] [16] [17] Let BA be a subset of attributes, the indiscernibility relation Ind(B) is defined as IND(B)={(x,y) /(x,y)UxU, a(x)=a(y), aB} where a(x) is the value of an attribute a of object x. x and y are said to be indiscernible with respect to a if a(x)=a(y). [16] For any concept X⊆ , the attribute subset P ⊆ , X could be approximated by the P-Upper and P-Lower approximation using the knowledge of P. The lower approximation of X is the set of objects of U that are surely in X ,where as the upper approximation of X is the set of objects of U that are possibly in X. The upper and Lower approximations are defined as follows P*(X) = { :…”
Section: Rstmentioning
confidence: 99%
“…[15] [16] [17] Let BA be a subset of attributes, the indiscernibility relation Ind(B) is defined as IND(B)={(x,y) /(x,y)UxU, a(x)=a(y), aB} where a(x) is the value of an attribute a of object x. x and y are said to be indiscernible with respect to a if a(x)=a(y). [16] For any concept X⊆ , the attribute subset P ⊆ , X could be approximated by the P-Upper and P-Lower approximation using the knowledge of P. The lower approximation of X is the set of objects of U that are surely in X ,where as the upper approximation of X is the set of objects of U that are possibly in X. The upper and Lower approximations are defined as follows P*(X) = { :…”
Section: Rstmentioning
confidence: 99%