Karnaugh Map Approach for Mining Frequent Termset from Uncertain Textual Data

D. Rajput, R. S. Thakur, G. Thakur
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引用次数: 9

Abstract

In recent years, uncertain textual data has become ubiquitous because of latest technologies of data collect. As the existing technologies can only collect data in an imprecise way. So in the given paper, we propose frequent pattern mining technique for mining termsets from uncertain textual data. in the said technique, we have conducted a study on uncertain textual data with Karnaugh Map concept. In fact the contribution of given paper is three manifolds. Firstly, we review existing method of finding frequent termset form document data. Secondly a new method UTDKM (Uncertain Textual Data using Karnaugh Map) is proposed for finding frequent termset from uncertain textual data, and lastly, we carried experiments to evaluate the performance of proposed method. The experimental results demonstrate that UTDKM method is better for mining frequent termset in comparison to existing methods.
从不确定文本数据中挖掘频繁词集的卡诺映射方法
近年来,由于最新的数据采集技术的发展,不确定文本数据变得无处不在。由于现有技术只能以不精确的方式收集数据。在本文中,我们提出了从不确定文本数据中挖掘术语集的频繁模式挖掘技术。在上述技术中,我们利用卡诺图的概念对不确定文本数据进行了研究。事实上,给定论文的贡献是三个流形。首先,回顾了现有的查找频繁词集表单文档数据的方法。其次,提出了一种从不确定文本数据中寻找频繁项集的新方法UTDKM(不确定文本数据利用卡诺图),最后通过实验对该方法进行了性能评价。实验结果表明,与现有方法相比,UTDKM方法能够更好地挖掘频繁词集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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