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A comparison between rule based and association rule mining algorithms

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : A comparison between rule based and association rule mining algorithms
นักวิจัย : Mazid, Mohammed. , Tickle, Kevin.
คำค้น : Data mining. , TBA. , 890202 Application Tools and System Utilities. , 080109 Pattern Recognition and Data Mining. , A priori. , Pattern perception. , Association rule mining -- Classification -- Apriori -- Partial decision tree (PART) -- DARPA (Defense Advanced Research Projects Agency)
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2552
อ้างอิง : http://hdl.cqu.edu.au/10018/44949 , http://dx.doi.org/10.1109/NSS.2009.81
ที่มา : Mazid, M, Shawkat Ali, A B M & Tickle, K 2009, 'A comparison between rule based and association rule mining algorithms' paper presented to the 2009 Third International Conference on Network and System Security, Gold Coast, Australia, October 19th-21st, 2009.http://dx.doi.org/10.1109/NSS.2009.81 (viewed 17/5/10)
ความเชี่ยวชาญ : -
ความสัมพันธ์ : International Conference on Network and System Security (NSS 2009) ; proceedings of a meeting held October 19-21, 2009, Gold Coast, Australia. USA. : IEEE, 2009. p. 452-455 4 pages Refereed 9780769538389 (online) , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

Recently association rule mining algorithms are using to solve data mining problem in a popular manner. Rule based mining can be performed through either supervised learning or unsupervised learning techniques. Among the wide range of available approaches, it is always challenging to select the optimum algorithm for rule based mining task. The aim of this research is to compare the performance between the rule based classification and association rule mining algorithm based on their rule based classification performance and computational complexity. We consider PART (Partial Decision Tree) of classification algorithm and Apriori ofassociation rule mining to compare their performance. DARPA (Defense Advanced Research Projects Agency) data is a well known intrusion detection problem is also used to measure the performance of these two algorithms. In this comparison the training rules are compared with the predefined test sets. In terms of accuracy and computational complexity we observe Apriori is a better choice for rule based mining task.

บรรณานุกรม :
Mazid, Mohammed. , Tickle, Kevin. . (2552). A comparison between rule based and association rule mining algorithms.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Mazid, Mohammed. , Tickle, Kevin. . 2552. "A comparison between rule based and association rule mining algorithms".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Mazid, Mohammed. , Tickle, Kevin. . "A comparison between rule based and association rule mining algorithms."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2552. Print.
Mazid, Mohammed. , Tickle, Kevin. . A comparison between rule based and association rule mining algorithms. กรุงเทพมหานคร : Central Queensland University, Australia; 2552.