| ชื่อเรื่อง | : | Finding a unique association rule mining algorithm based on data characteristics |
| นักวิจัย | : | Mazid, Mohammed. , Ali, Shawkat. , Tickle, Kevin. |
| คำค้น | : | Experimental development. , 899999 Information and Communication Services not elsewhere classified. , 080109 Pattern Recognition and Data Mining. , Data mining. , Machine learning. , Algorithms. , Association Rule Mining -- Apriori -- Meta Learning -- Machine Learning -- Measures of Interestingness |
| หน่วยงาน | : | Central Queensland University, Australia |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2551 |
| อ้างอิง | : | http://hdl.cqu.edu.au/10018/28566 , http://dx.doi.org/10/1109/ICECE.2008.4769340. , cqu:4376 |
| ที่มา | : | Mazid, M, Ali, S & Tickle, KS 2008, 'Finding a unique association rule mining algorithm based on data characteristics', International Conference on Electrical & Computer Engineering, 20-22 December 2008, IEEE, Piscataway, NJ, pp. 902-908. http://dx.doi.org/10.1109/ICECE.2008.4769340 |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | Proceedings of the 5th International Conference on Electrical & Computer Engineering (ICECE 2008), December 20-22 2008, Dhaka, Bangladesh. Piscataway, N.J. : IEEEXplore, 2008. p. 902-908 7 pages Refereed 9781424420148 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository. |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | This research compares the performance of three popular Association Rule Mining algorithms, namely Apriori, Predictive Apriori and Tertius based on data characteristics. The accuracy measure is used as the performance measure for ranking the algorithms. A wide variety of Association Rule Mining algorithms can create a time consuming problem for choosing the most suitable one for performing the rule mining task. A meta-learning technique is implemented for a unique selection from a set of association rule mining algorithms. On the basis of experimental results of 15 UCI data sets, this research discovers statistical information based rules to choose a more effective algorithm. |
| บรรณานุกรม | : |
Mazid, Mohammed. , Ali, Shawkat. , Tickle, Kevin. . (2551). Finding a unique association rule mining algorithm based on data characteristics.
กรุงเทพมหานคร : Central Queensland University, Australia. Mazid, Mohammed. , Ali, Shawkat. , Tickle, Kevin. . 2551. "Finding a unique association rule mining algorithm based on data characteristics".
กรุงเทพมหานคร : Central Queensland University, Australia. Mazid, Mohammed. , Ali, Shawkat. , Tickle, Kevin. . "Finding a unique association rule mining algorithm based on data characteristics."
กรุงเทพมหานคร : Central Queensland University, Australia, 2551. Print. Mazid, Mohammed. , Ali, Shawkat. , Tickle, Kevin. . Finding a unique association rule mining algorithm based on data characteristics. กรุงเทพมหานคร : Central Queensland University, Australia; 2551.
|
ridm@nrct.go.th ระบบคลังข้อมูลงานวิจัยไทย รายการโปรดที่คุณเลือกไว้
