不要自己做Arff文件，麻烦，你做成.csv，让weka自己另存为就行了。 文本文件打开，把字段名复制到第一段，保存成.csv 举个例子： @RELATION cars @ATTRIBUTE buying REAL @ATTRIBUTE maint REAL @ATTRIBUTE doors REAL @ATTRIBUTE persons REAL @ATTRIBUTE lug-boot REAL @ATTRIBUTE safety REAL @ATTRIBUTE class {unacc,acc,good,v-good} @DATA vhigh,vhigh,2,2,small,low,unacc vhigh,vhigh,2,2,small,med,unacc vhigh,vhigh,2,2,small,high,unacc vhigh,vhigh,2,2,med,low,unacc vhigh,vhigh,2,2,med,med,unacc vhigh,vhigh,2,2,med,high,unacc vhigh,vhigh,2,2,big,low,unacc vhigh,vhigh,2,2,big,med,unacc 然后用Weka打开就可以了。
Datasets
本来我想用前面那个Human Activity Recognition Using Smartphones Data Set来完成我的Data mining的结业小论文，但后来在将该Dataset转换为Weka的arff格式时碰到点问题，所以就放弃了，最终将以下面这个Image Segmentation Data Set来写，同时相对来说，这个Dataset也跟我的工作更加相关、相近一些。 本Dataset源于：http://archive.ics.uci.edu/ml/datasets/Image+Segmentation
Image Segmentation Data Set
From: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones Download: Data Folder, Data Set DescriptionAbstract: Human Activity Recognition database built from the recordings of 30 subjects performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors. Data Set Characteristics: Multivariate, Time-Series Number of Instances: 10299 Area: Computer Attribute Characteristics: N/A Number of […]