Browsing by Author "Chuang, KT"

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Forecast of development trends in Taiwan's machinery industry
(2002-11-01)
Chang, PC
;
Wang, CP
;
Yuan, BJC
;
Chuang, KT
;
科技管理研究所
Industry transformation oriented toward high technology is being expected in the next 10 years by targeting Taiwan becoming an island of the technology. The machinery industry, which has been playing a vital role in Taiwan's economic development in the past, should be continuously emphasized during the course of the future development. This paper presents a detailed study on the future development of Taiwan's machinery industry along with the valuable proposals to the government policy and the investment strategy to the private sectors. The 10-year forecasting survey based on the strength, weakness, opportunity and threats (SWOT) analysis was made through an integrated professional team using the Delphi method. The derived results of market growth forecasting and the projected high potential products are further elaborated in the paper. (C) 2002 Elsevier Science Inc. All rights reserved.
On exploring the power-law relationship in the itemset support distribution
(2006)
Chuang, KT
;
Huang, JL
;
Chen, MS
;
資訊工程學系
;
Department of Computer Science
We identify and explore in this paper an important phenomenon which points out that the power-law relationship appears in the distribution of itemset supports. Characterizing such a relationship will benefit many applications such as providing the direction of tuning the performance of the frequent- itemset mining. Nevertheless, due to the explosive number of itemsets, it will be prohibitively expensive to retrieve characteristics of the power-law relationship in the distribution of itemset supports. As such, we also propose in this paper a valid and cost-effective algorithm, called algorithm PPL, to extract characteristics of the distribution without the need of discovering all itemsets in advance. Experimental results demonstrate that algorithm PPL is able to efficiently extract the characteristics of the power-law relationship with high accuracy.