Title :
Research of AprioriHybird algorithm and application in network situational awareness
Author :
Yanbo, Wang ; Huiqiang, Wang ; Xuefei, Jiang ; Ming, Yu
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Abstract :
The article analyzes the advantages and disadvantages of Apriori, AprioriTid and AprioriHybrid simply. To solve the bottleneck of AprioriHybrid algorithm, a kind of Hash-based method to condense candidate itemset is presented, and providing the corresponding algorithm. Finally the experiment proves the efficiency of improved AprioriHybrid-H is better than AprioriHybrid Algorithm´s, there is strong guiding significance to apply in the concrete network situational awareness systems so that excavating a large number of interesting association rules, understanding the current network status, judging and taking measures timely.
Keywords :
data mining; security of data; AprioriHybird algorithm; association rules; hash-based method; network situational awareness; Algorithm design and analysis; Computers; Itemsets; AprioriHybird algorithm; Network security situational; hash; itemset;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564777