10 search results - page 1 / 2 » Network IDS alert classification with frequent itemset minin... |
CNSM
2010
14 years 3 months ago
2010
SBACPAD
2003
IEEE
14 years 10 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
CINQ
2004
Springer
14 years 9 months ago
2004
Springer
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
IJCNN
2007
IEEE
14 years 11 months ago
2007
IEEE
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
SP
1999
IEEE
14 years 9 months ago
1999
IEEE
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...