@inproceedings{45e0333ddcdc4142aa06facd991987f2,
title = "ORange: Objective-Aware Range Query Refinement",
abstract = "In this demo paper we present Orange, a system prototype for objective-aware range query refinement. Orange essentially refines a range query to meet a pre-specified cardinality constraint while taking into account the (dis)similarity between the initial query and its corresponding refined version. To achieve this goal, Orange employes the novel scheme SAQR for efficient similarity-aware query refinement. The main idea underlying SAQR is to utilize the pre-defined constraints on cardinality and similarity in order to bound the search space and quickly find a refined query, which meets the user's expectations. We showcase Orange in a web-based application which aims to guide planners in allocating service zones for police patrol units using real and historical dataset of crime incidents.",
author = "Abdullah Albarrak and Tatiana Noboa and Khan, {Hina A.} and Sharaf, {Mohamed A.} and Xiaofang Zhou and Shazia Sadiq",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 15th IEEE International Conference on Mobile Data Management, IEEE MDM 2014 ; Conference date: 15-07-2014 Through 18-07-2014",
year = "2014",
month = oct,
day = "5",
doi = "10.1109/MDM.2014.48",
language = "English",
series = "Proceedings - IEEE International Conference on Mobile Data Management",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "333--336",
booktitle = "Proceedings - 2014 IEEE 15th International Conference on Mobile Data Management, IEEE MDM 2014",
}