Labeled data sets are necessary to train and evaluate anomaly-based network intrusion detection systems. This work provides a focused literature survey of data sets for network-based intrusion detection and describes the underlying ...
Student modeling techniques are evaluated mostly using historical data. Researchers typically do not pay attention to details of the origin of the used data sets. However, the way data are collected can have important impact on evaluation and ...
Ioffer a workbook to teach the scalable analysis of expanding data sets. When analyzing data sets, function ranges are often statically defined. As a result, when new data are appended to the data set, the appended data are beyond the static ranges. ...
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