Data Mining (INFS4203/7203) Lecture 2: Introduction to Classification 第3部分结束 第三部分也就是最后一部分了。 主要讲的是特征处理(标准化、正则化与降维)。最后有一些参考书目与延伸阅读的资料。
By analyzing large amounts of data, data mining algorithms can uncover hidden patterns that may not be immediately apparent to human analysts. There are several different techniques that are commonly used in data mining, including classification, clustering, association rule mining, and anomaly ...
This chapter introduces classification, one of the most common data mining tasks. Two classification algorithms are described in detail: the Nave Bayes algorithm, which uses probability theory to find the most likely of the possible classifications, and Nearest Neighbour classification, which estimates ...
University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules). -Mohammed Zaki, Rensselaer Polytechnic Institu...
ruleconsequent–Examplesofclassificationrules: (BloodType=Warm)∧(LayEggs=Yes)→Birds (TaxableIncome<50K)∧(Refund=Yes)→Evade=No©Tan,Steinbach,KumarIntroductiontoDataMining4/18/20043Rule-basedClassifier(Example)R1:(GiveBirth=no)∧(CanFly=yes)→BirdsR2:(GiveBirth=no)∧(LiveinWater=yes)→Fishes...
This chapter introduces classification, one of the most common data mining tasks. Two classification algorithms are described in detail: the Nave Bayes algorithm, which uses probability theory to find the most likely of the possible classifications, and Nearest Neighbour classification, which estimates ...
TraditionaltechniquesinfeasibleforrawdataDataminingmayhelpscientists–inclassifyingandsegmentingdata–inHypothesisFormation MiningLargeDataSets-Motivation Thereisofteninformation“hidden”inthedatathatisnotreadilyevidentHumananalystsmaytakeweekstodiscoverusefulinformationMuchofthedataisneveranalyzedatall 4,000,...
Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Presented in a clear ...
thus providing the reader with the necessary background for the application of data mining to real problems. The text helps readers understand the nuances of the subject, and includes important sections on classification, association analysis, and cluster analysis. This edition improves on the first ...
buys(X, “CD_player”) [support = 2%, confidence = 60%] (1)定义 分类 (classification):是找出描述并区分数据类或概念的模型(或函数),以便能够使用模型预测类标记未知的对象的过程。 注:导出模型(或函数)是基于对训练数据集(即其类标记已知的数据对象)的分析。 (2)分类模型的导出方式 分类规则(IF-...