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Yuqian Wu, Miao Wang, Wenkui Chu and Guoqing Wang
Organization preference knowledge is critical to enhancing the intelligence and efficiency of the multi-platform aircraft mission system (MPAMS), particularly the collaboration tactics of task behaviors, platform types, and mount resources. However, it i...
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Neda Rostamzadeh, Sheikh S. Abdullah, Kamran Sedig, Amit X. Garg and Eric McArthur
Laboratory tests play an essential role in the early and accurate diagnosis of diseases. In this paper, we propose SUNRISE, a visual analytics system that allows the user to interactively explore the relationships between laboratory test results and a di...
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Federica Burini, Nicola Cortesi and Giuseppe Psaila
In geography, the concept of ?rhizome? provides a theoretical tool to conceive the way people move in space in terms of ?mobility networks?: the space lived by people is delimited and characterized on the basis of both the places they visited and the seq...
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Yue Li, Francis A. Méndez-Mediavilla, Cecilia Temponi, Junwoo Kim and Jesus A. Jimenez
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Weihua Liao, Zhiheng Zhang and Weiguo Jiang
A relative lag in research methods, technical means and research paradigms has restricted the rapid development of geography and urban computing. Hence, there is a certain gap between urban data and industry applications. In this paper, a spatial associa...
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Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Daniel J. Lizotte, Amit X. Garg and Eric McArthur
One of the prominent problems in clinical medicine is medication-induced acute kidney injury (AKI). Avoiding this problem can prevent patient harm and reduce healthcare expenditures. Several researches have been conducted to identify AKI-associated medic...
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Nancy Awad, Jean-Francois Couchot, Bechara Al Bouna and Laurent Philippe
Data publishing is a challenging task for privacy preservation constraints. To ensure privacy, many anonymization techniques have been proposed. They differ in terms of the mathematical properties they verify and in terms of the functional objectives exp...
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Chao Ou-Yang, Chandrawati Putri Wulandari, Mohammad Iqbal, Han-Cheng Wang and Chiehfeng Chen
Today, patients generate a massive amount of health records through electronic health records (EHRs). Extracting usable knowledge of patients? pathological conditions or diagnoses is essential for the reasoning process in rule-based systems to support th...
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Thaweesak Khongtuk
Discovering All Frequent Items is one of the most important steps in the association rules mining process. Typically, the minimum support is used as a criterion for selecting an interesting itemset. There are many researchers who focus to improve the eff...
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Jun-Feng Qu, Mengchi Liu, Chunsheng Xin and Zhongbo Wu
High utility itemsets (HUIs) are sets of items with high utility, like profit, in a database. Efficient mining of high utility itemsets is an important problem in the data mining area. Many mining algorithms adopt a two-phase framework. They first genera...
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