A considerable amount of clean semistructured data is internally available to companies in the form of business reports. However, business reports are untapped for data mining, da...
Stephen W. Liddle, Douglas M. Campbell, Chad Crawf...
Effective automatic summarization usually requires simulating asoning such as abstraction or relevance reasoning. In this paper we describe a solution for this type of reasoning in...
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Abstract. This paper presents a novel approach for extracting personal data and automatically generating Personal Data Reports (PDRs) from relational databases. Such PDRs can be us...
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...