雲端資料探勘決策分析平台

Cloud Data Mining Decision Platform

李御璽(Yue-Shi Lee) ； 顏秀珍(Show-Jane Yen) ； 白玉華(Yuh-Hwa Pai) ； 呂誌軒(Chih-Hsuan Lu)

《Journal of Data Analysis》 6卷6期 (2011/12) Pp. 91-108

https://doi.org/10.6338/JDA.201112_6(6).0005

摘要

在資料探勘（Data Mining）與機器學習（Machine learning）的領域中，分類（Classification）技術受到相當廣泛的研究，並應用於各領域的實務中。本研究建構雲端資料探勘決策分析平台－MCU Smart Score II，以符合業界對資料探勘分類系統在實務上的需求。實驗的結果顯示，MCU Smart Score II的分類效能優於現行的線上資料探勘分類系統－ismartscore及微軟的雲端資料探勘系統，同時也優於傳統資料探勘軟體所建構出的分類模型。

關鍵字

分類 ； 資料探勘 ； 機器學習

並列摘要

Classification analysis is a well-studied technique in data mining and machine learning domains. Due to the forecasting characteristic of classification, it has been used in a lot of real applications. This study will build and develop a practical Cloud Data Mining Decision Platform, MCU Smart Score II, which meets the requirement of the enterprises. The experimental results show that MCU Smart Score II outperforms the current on-line classification system, ismartscore, and Microsoft Cloud Data Mining system in classification evaluation. Besides, it is also better than the traditional data mining classification systems.

並列關鍵字

Classification ； Data Mining ； Machine Learning

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