{"title":"分类问题中数据准备方法的比较","authors":"P. Gonçalves, Roberto S. M. Barros","doi":"10.1109/AICCSA.2011.6126613","DOIUrl":null,"url":null,"abstract":"This paper presents a comparison between DMPML and three data mining applications (Weka, RapidMiner, and KN-IME) that implement the directed graph approach, concerning the time spent to create and execute the data preparation tasks for two data mining algorithms. The tests were executed using different types of data sets: numerical, categorical, and mixed. We observed that the scheme used by the DMPML framework can simplify the usage of different data mining algorithms and reduce the time spent creating the data preparation tasks.","PeriodicalId":375277,"journal":{"name":"2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparing approaches to prepare data in classification problems\",\"authors\":\"P. Gonçalves, Roberto S. M. Barros\",\"doi\":\"10.1109/AICCSA.2011.6126613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a comparison between DMPML and three data mining applications (Weka, RapidMiner, and KN-IME) that implement the directed graph approach, concerning the time spent to create and execute the data preparation tasks for two data mining algorithms. The tests were executed using different types of data sets: numerical, categorical, and mixed. We observed that the scheme used by the DMPML framework can simplify the usage of different data mining algorithms and reduce the time spent creating the data preparation tasks.\",\"PeriodicalId\":375277,\"journal\":{\"name\":\"2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICCSA.2011.6126613\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICCSA.2011.6126613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparing approaches to prepare data in classification problems
This paper presents a comparison between DMPML and three data mining applications (Weka, RapidMiner, and KN-IME) that implement the directed graph approach, concerning the time spent to create and execute the data preparation tasks for two data mining algorithms. The tests were executed using different types of data sets: numerical, categorical, and mixed. We observed that the scheme used by the DMPML framework can simplify the usage of different data mining algorithms and reduce the time spent creating the data preparation tasks.