Work

Reasoning with Temporal Preferences over Data Streams

Year: 2017

Type: conference-paper

Abstract: The growing emergence of new applications where the data changes rapidly has boosted the development of several researches related to data streams processing. Preference reasoning is an example of a useful task that can be used to monitor data streams for information that best fit the users wishes. In this paper, we revisited the formalism TPref in order to propose a new approach for processing data streams according to temporal conditional preferences. Our approach, named StreamPref, covers important issues not addressed yet in preference reasoning with temporal conditional preferences.

Source: HAL

Authors: Ribeiro, Marcos, Roberto, Barioni, Maria Camila, de Amo, Sandra, Roncancio, Claudia, Labbé, Cyril

Institution: Laboratoire d'Informatique de Grenoble

Language: English

Topic: Constraint Satisfaction and Optimization

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2733918656

FWCI: 0.66

Cites:

Cited by: 6

Related to: 10