A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...
Most text analysis is designed to deal with the concept of a “document”, namely a cohesive presentation of thought on a unifying subject. By contrast, individual nodes on the ...
Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
We report on a case study on control-flow analysis of business process models. We checked 735 industrial business process models from financial services, telecommunications, and...
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...