{"title":"大数据时代的本科数据挖掘课程建设","authors":"Xiaofang Zhang, Xiaotao Huang, Fen Wang","doi":"10.1109/ICCSE.2017.8085573","DOIUrl":null,"url":null,"abstract":"Data mining technology is the key technology and core content of big data age. The undergraduate data mining course introduces the basic concepts, basic principles and application techniques of data mining, as well as the characteristics and new technologies of data mining under the background of big data. According to the characteristics of undergraduate students, the curriculum should weaken the theory and algorithm as much as possible, and emphasizing the application. Through analysis and experiment on various examples, to enable students to face the specific application problems, can use the SPSS Modeler to designing a data processing, select the appropriate data mining method, and finally get the ideal results of data mining.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The construction of undergraduate data mining course in the big data age\",\"authors\":\"Xiaofang Zhang, Xiaotao Huang, Fen Wang\",\"doi\":\"10.1109/ICCSE.2017.8085573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data mining technology is the key technology and core content of big data age. The undergraduate data mining course introduces the basic concepts, basic principles and application techniques of data mining, as well as the characteristics and new technologies of data mining under the background of big data. According to the characteristics of undergraduate students, the curriculum should weaken the theory and algorithm as much as possible, and emphasizing the application. Through analysis and experiment on various examples, to enable students to face the specific application problems, can use the SPSS Modeler to designing a data processing, select the appropriate data mining method, and finally get the ideal results of data mining.\",\"PeriodicalId\":256055,\"journal\":{\"name\":\"2017 12th International Conference on Computer Science and Education (ICCSE)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th International Conference on Computer Science and Education (ICCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE.2017.8085573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Computer Science and Education (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2017.8085573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The construction of undergraduate data mining course in the big data age
Data mining technology is the key technology and core content of big data age. The undergraduate data mining course introduces the basic concepts, basic principles and application techniques of data mining, as well as the characteristics and new technologies of data mining under the background of big data. According to the characteristics of undergraduate students, the curriculum should weaken the theory and algorithm as much as possible, and emphasizing the application. Through analysis and experiment on various examples, to enable students to face the specific application problems, can use the SPSS Modeler to designing a data processing, select the appropriate data mining method, and finally get the ideal results of data mining.