@conference {DBLP:conf/ida/JorgeMSSA12,
	title = {Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules},
	booktitle = {The 11th International Symposium on Intelligent Data Analysis - IDA},
	year = {2012},
	month = {October},
	pages = {139-149},
	address = {Helsinki, Finland},
	abstract = {<p>In this paper we study the deviation of bus trip duration and its causes. Deviations are obtained by comparing scheduled times against actual trip duration and are either delays or early arrivals. We use distribution rules, a kind of association rules that may have continuous distributions on the consequent. Distribution rules allow the systematic identification of particular conditions, which we call contexts, under which the distribution of trip time deviations differs significantly from the overall deviation distribution. After identifying specific causes of delay the bus company operational managers can make adjustments to the timetables increasing punctuality without disrupting the service.</p>
},
	attachments = {https://haslab.uminho.pt/sites/default/files/pja/files/chp3a10.10072f978-3-642-34156-4_14.pdf},
	author = {Al{\'\i}pio M{\'a}rio Jorge and Jo{\~a}o Mendes Moreira and Jorge Freire de Sousa and Carlos Soares and Paulo Jorge Azevedo}
}