Finding patterns in temporal data is an important data analysis task in many domains. Static visualizations can help users easily see certain instances of patterns, but are not sp...
The core of our question-answering mechanism is searching for predefined patterns of textual expressions that may be interpreted as answers to certain types of questions. The pres...
: Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus,...
In this paper we present how to extract and describe emerging content ontology design patterns, and how to compose, specialize and expand them for ontology design, with particular ...
This article proposes knowledge-based short-time prediction methods for multivariate streaming time series, relying on the early recognition of local patterns. A parametric, well-i...