Many organizations often underutilize their already constructed data warehouses. In this paper, we suggest a novel way of acquiring more information from corporate data warehouses...
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Most current anomaly Intrusion Detection Systems (IDSs) detect computer network behavior as normal or abnormal but cannot identify the type of attacks. Moreover, most current intr...
Recent work by the ‘CombeChem’ project together with the UK National Crystallography Service (NCS) has integrated the NCS into an e-Science environment. The existing high-thro...
Jeremy G. Frey, Sam Peppe, Mike Surridge, Ken Meac...