Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Compensating transactions are intended to handle situations where it is required to undo either committed or uncommitted transactions that affect other transactions, without resor...
Henry F. Korth, Eliezer Levy, Abraham Silberschatz
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
—We give a denotational framework (a “meta model”) within which certain properties of models of computation can be compared. It describes concurrent processes in general term...