IMPORTANT: we have lower performance on 'leave-one-subject-out' tests. The performance baseline index we established is for 10-fold cross-validation tests…
classification, sequentialNumber of instances: 18000 times-series measurements recorded from a 72 metal-oxide gas sensor array-based chemical detection platform. Number of attribu…
classification, multivariate, time-series-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heuristic…
classification, clustering, multivariate-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heuristic …
classification, multivariateThis dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes. This dataset is composed by two instanc…
classification, clustering, multivariate, sequential, time-seriesThe dataset could contain missing values. The data was sampled every minute, computing and uploading it smoothed with 15 minute means. The header of the d…
multivariate, regression, sequential, text, time-series2. Information database: 2.1. Protocol: 22 male subjects , 11 with different knee abnormalities previously diagnosed by a professional. They undergo thre…
multivariate, time-seriesThe parameters which we used for collecting the dataset is referred from the paper 'The discovery of experts decision rules from qualitative bankruptcy da…
classification, multivariateThe Dataset for ADL Recognition with Wrist-worn Accelerometer is a public collection of labelled accelerometer data recordings to be used for the creation…
classification, clustering, multivariate, time-series