Rohit Ahlawat, Sushil Sahay, S. Sabitha, Abhay Bansal
{"title":"基于k-均值聚类的印度大学招生格局影响因素分析","authors":"Rohit Ahlawat, Sushil Sahay, S. Sabitha, Abhay Bansal","doi":"10.1109/INCITE.2016.7857639","DOIUrl":null,"url":null,"abstract":"The growth of the economy of a country is affected by several factors like economic system, natural resources, social organisation, literacy rate, skilled manpower, etc. Higher education also plays an important role in the economic growth of a country. The Indian education sector has a lot of data that can produce valuable information. In recent times data mining techniques have been widely used for educational data for discovering useful trends or patterns. It provides interesting patterns which can be used to improve the overall performance of the education sector. The main objective of this research work is to analyse enrollment patterns in Indian universities and the factors affecting these patterns with the help of k-means clustering technique. The obtained clusters are analysed for various case studies to provide a trend of enrollments.","PeriodicalId":59618,"journal":{"name":"下一代","volume":"72 1","pages":"321-326"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Analysis of factors affecting enrollment pattern in Indian universities using k-means clustering\",\"authors\":\"Rohit Ahlawat, Sushil Sahay, S. Sabitha, Abhay Bansal\",\"doi\":\"10.1109/INCITE.2016.7857639\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The growth of the economy of a country is affected by several factors like economic system, natural resources, social organisation, literacy rate, skilled manpower, etc. Higher education also plays an important role in the economic growth of a country. The Indian education sector has a lot of data that can produce valuable information. In recent times data mining techniques have been widely used for educational data for discovering useful trends or patterns. It provides interesting patterns which can be used to improve the overall performance of the education sector. The main objective of this research work is to analyse enrollment patterns in Indian universities and the factors affecting these patterns with the help of k-means clustering technique. The obtained clusters are analysed for various case studies to provide a trend of enrollments.\",\"PeriodicalId\":59618,\"journal\":{\"name\":\"下一代\",\"volume\":\"72 1\",\"pages\":\"321-326\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"下一代\",\"FirstCategoryId\":\"1092\",\"ListUrlMain\":\"https://doi.org/10.1109/INCITE.2016.7857639\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"下一代","FirstCategoryId":"1092","ListUrlMain":"https://doi.org/10.1109/INCITE.2016.7857639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of factors affecting enrollment pattern in Indian universities using k-means clustering
The growth of the economy of a country is affected by several factors like economic system, natural resources, social organisation, literacy rate, skilled manpower, etc. Higher education also plays an important role in the economic growth of a country. The Indian education sector has a lot of data that can produce valuable information. In recent times data mining techniques have been widely used for educational data for discovering useful trends or patterns. It provides interesting patterns which can be used to improve the overall performance of the education sector. The main objective of this research work is to analyse enrollment patterns in Indian universities and the factors affecting these patterns with the help of k-means clustering technique. The obtained clusters are analysed for various case studies to provide a trend of enrollments.