文章基本信息

标题：IDENTIFYING SIMILAR TRENDS BY COMPARING DIFFERENT DATASETS IN PASSPORT DATA USING CLUSTER ANALYSIS
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作者：Swati Rana ; Dr. Rajan Vohra
期刊名称：International Journal of Computer Science and Management Studies
电子版ISSN：2231-5268
出版年度：2014
卷号：14
期号：07
出版社：Imperial Foundation
摘要：This paper is a small approach in analysis of various trends that generally occur in different datasets in passport data in different cities in the country. The analysis of solution for the given problem can help to know the various aspects of the nation’s growth and development and thereby focusing on the areas of the population which are either blooming or need more attention, Industry analysis across fast moving consumer goods and services, including market performance, market size, company and brand shares and profiles of leading companies and brands; data and analysis on consumer lifestyles, population trends, and socioeconomic analysis for every country, lifestyle and consumer type down to the city level; timely commentary on factors influencing the global, regional and local business environment; surveys exploring consumer opinions, attitudes and behaviors. The question this work can provide the solution to can be given as follows: How many similar or dissimilar trends have occurred among various cities all over the country, based on the passports issued in last few years?
关键词：Similar trends; clustering; classification; Data mining; and Weka tool