The author then analyzes the competitive advantage of china ' s textile industry form three aspects : firstly , the author thinks the synthetic competitive ability of textile industry is weaker . this fact has an effect on the international competitive ability by means of using factor analysis between textile industry and the others ; secondly , the author puts realized index and ahp into use on the basis of m . e . porter theory and china ' s specific condition , and comes to a conclusion that the trend of china ' s textile international competitive advantage is coming down ; thirdly , the author thinks the industrial environment can not be ignored , though the industry itself is equally important . in view of the above , the paper adopts the industrial cluster analysis , which can demonstrate that our textile industry has not yet won the capability of maintaining the long - term competitive advantage 然后，作者从三个方面分别对我国纺织业竞争优势进行了分析：第一，利用因子分析对我国纺织业进行了跨行业综合竞争实力研究，结果表明纺织业在我国的综合竞争实力较弱，这势必会给产业的国际竞争力带来不利影响；第二，以波特理论为基础，结合我国的国情，采用实现指标分析法和层次分析法进行分析之后，又对某些因素进行了补充分析，得出我国纺织业的国际竞争优势趋势处于下降的结论，这应当引起我们高度重视；第三，评价产业的国际竞争优势，产业自身因素固然重要，但产业所处的外部大环境也很重要，因此又进行了产业簇群分析，从这个角度看我国纺织业还不具备维持长期竞争优势的能力，应当引起充分警觉。
Firstly , the main data mining technology and methods in cbr are investigated and discussed . secondly , to meet different requirements of applications , two algorithms of case base construction and one algorithm of case base maintenance are put forward , to which association analysis , outlier analysis . clustering and classification are applied 首先研究和探讨了cbr中数据挖掘的主要技术和方法，之后针对不同的应用需求，提出了两个范例库构造算法和一个范例库维护算法，分别将数据挖掘中的主要技术- - - -关联分析、离群分析、聚类和分类技术应用于其中，并给出了实验实例，实验结果证明了算法能够有效地提高cbr系统中知识获取的自动化程度和系统的性能。
