《数据挖掘导论》课程是计算机科学与技术专业的专业选修课，它是为培养数据挖掘研究与应用人才而设置的，是一门理论和实践相结合的课程。
通过本课程的学习，学生将做到：
1．认识数据挖掘在当今计算机应用中的重要作用。
2．初步了解数据挖掘的基本原理和整体结构。
3．掌握数据预处理技术（包括数据清理、数据集成和转换、数据归约等方法）和数据挖掘技术（包括分类、预测、关联和聚类的概念与技术）。
Introductiontothecourse“IntroductionofDataMining”
ThecomingofBigDataeramakesdataminingattractmoreattention.DataMiningisoneofthemostactivebranchesinthefieldsofDatabaseresearch,developmentandapplication.DataMiningisaninterdisciplinaryofStatistics,MachineLearning,PatternRecognition,KnowledgeBaseSystem,InformationRetrieval,HighPerformanceComputingandVisualization.
Thecourse“IntroductionofDataMining”isanimportantoptionalcourseforthemajorofcomputerscienceandtechnology.Itaimsatcultivatingtheexcellentpersonsofdataminingresearchandapplicationandisacoursecombinedthetheorywiththepractice.
Bylearningthiscourse,thestudentscouldachievethefollowingabilities.
1.UnderstandtheimportanteffectthatDataMininghasonthecurrentcomputerapplications.
2.PreliminarylearnthebasicprinciplesandwholestructureofDataMining.
3.Masterthedatapreprocessingtechniques(includedatacleaning,dataaggregationandtransformation,datareduction)anddataminingtechniques(includeClassification,Prediction,AssociationandClustering).
Afterlearningthiscourse,thestudentsshouldpreliminarymasterthebasicprinciplesandtechniquesofDataMining,knowthedirectionofresearchandapplicationssothatlayingthesolidfoundationofdoingthefuturejobsrelatedtothedatamining.
地址：吉林省长春市朝阳区前进大街2699号吉林大学前卫南区计算机楼邮编：130012