An Apriori-based Data Analysis on Suspicious Network Event Recognition

• Main Authors: Jian, Z., Sakai, H., Watada, J., Roy, A., Hassan, M.H.B.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081355750&doi=10.1109%2fBigData47090.2019.9006420&partnerID=40&md5=e5cf69fd42d66343581335cd3dfff099; http://eprints.utp.edu.my/30159/

Apriori-based rule generators, which are powered by the DIS-Apriori algorithm and the NIS-Apriori algorithm, are applied to analyze the data sets available in the IEEE BigData 2019 Cup: Suspicious Network Event Recognition. Then, each missing value in the test data set is decided by using the obtain...