ridm@nrct.go.th   ระบบคลังข้อมูลงานวิจัยไทย   รายการโปรดที่คุณเลือกไว้

Parallel neural-based hybrid data mining ensemble

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Parallel neural-based hybrid data mining ensemble
นักวิจัย : Hassan, Syed Zahid. , Verma, Brijesh.
คำค้น : Applied research. , 890202 Application Tools and System Utilities. , 080109 Pattern Recognition and Data Mining. , 080108 Neural, Evolutionary and Fuzzy Computation. , Data mining. , Neural networks (Computer science) , Data mining -- Hybrid data mining -- Data clustering -- Data fusion -- Neural networks
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2551
อ้างอิง : http://hdl.cqu.edu.au/10018/28499 , cqu:4365
ที่มา : Hassan, SZ & Verma, B 2008, 'Parallel neural-based hybrid data mining ensemble', International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Sydney, 15-18 December 2008, IEEE, pp. 115-119.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2008), 15-18 December 2008, Sydney, Australia. USA. : IEEE, 2008. p. 115- 119 5 pages Refereed 9781424429578 (online) , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper presents a novel hybrid data mining ensemble approach which is an effective combination of various clustering methods, in order to utilize the strengths of individual technique and compensate for each other’s weaknesses. The proposed approach is formulated to cluster extracted features into ‘soft’ clusters using unsupervised learning strategies and fuse the cluster decisions using parallel fusion in conjunction with a neural classifier. The proposed approach has been implemented and evaluated on the benchmark databases such as Digita lDatabase for Screening Mammograms, Wisconsin Breast Cancer and ECG Arrhythmia. A comparative performance analysis of the proposed hybrid data mining approach with other existing approaches is presented. The experimental results demonstrate the effectiveness of the proposed approach.

บรรณานุกรม :
Hassan, Syed Zahid. , Verma, Brijesh. . (2551). Parallel neural-based hybrid data mining ensemble.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Hassan, Syed Zahid. , Verma, Brijesh. . 2551. "Parallel neural-based hybrid data mining ensemble".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Hassan, Syed Zahid. , Verma, Brijesh. . "Parallel neural-based hybrid data mining ensemble."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2551. Print.
Hassan, Syed Zahid. , Verma, Brijesh. . Parallel neural-based hybrid data mining ensemble. กรุงเทพมหานคร : Central Queensland University, Australia; 2551.