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Julio De Melo Borges

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2010 – 2019

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2018
[c14]
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Adelson Araujo, Nélio Cacho, Leonardo C. T. Bezerra, Carlos Vieira, Julio De Melo Borges:
Towards a Crime Hotspot Detection Framework for Patrol Planning. HPCC/SmartCity/DSS 2018: 1256-1263
[c13]
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Julio De Melo Borges, Daniel Ziehr, Michael Beigl, Nélio Cacho, Allan de M. Martins, Adelson Araujo, Leonardo C. T. Bezerra, Simon Geisler:
Time-Series Features for Predictive Policing. ISC2 2018: 1-8
2017
[c12]
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Wei Han, Julio De Melo Borges, Peter Neumayer, Yong Ding, Till Riedel, Michael Beigl:
Interestingness Classification of Association Rules for Master Data. ICDM 2017: 237-245
[c11]
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Julio De Melo Borges, Peter Bozsoky, Simon Sudrich, Michael Beigl:
Advances in Event Detection. iThings/GreenCom/CPSCom/SmartData 2017: 1017-1024
[c10]
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Simon Sudrich, Julio De Melo Borges, Michael Beigl:
Anomaly Detection in Evolving Heterogeneous Graphs. iThings/GreenCom/CPSCom/SmartData 2017: 1147-1149
[c9]
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Julio De Melo Borges, Martin Alexander Neumann, Christian Bauer, Yong Ding, Till Riedel, Michael Beigl:
Predicting Target Events in Industrial Domains. MLDM 2017: 17-31
[c8]
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Julio De Melo Borges, Henrik Hain, Simon Sudrich, Michael Beigl:
Event detection for smarter cities. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8
[c7]
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Julio De Melo Borges, Daniel Ziehr, Michael Beigl, Nélio Cacho, Allan de M. Martins, Simon Sudrich, Samuel Abt, Patrick Frey, Timo Knapp, Michaela Etter, Johannes Popp:
Feature engineering for crime hotspot detection. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8
[c6]
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Simon Sudrich, Julio De Melo Borges, Michael Beigl:
Graph-based anomaly detection for smart cities: A survey. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-7
2016
[c5]
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Julio De Melo Borges, Matthias Budde, Oleg Peters, Till Riedel, Michael Beigl:
Towards two-tier citizen sensing. ISC2 2016: 1-4
[c4]
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Julio De Melo Borges, Till Riedel, Michael Beigl:
Urban Anomaly Detection: a Use-Case for Participatory Infra-Structure Monitoring. Urb-IoT 2016: 36-38
[c3]
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Julio De Melo Borges, Matthias Budde, Oleg Peters, Till Riedel, Andrea Schankin, Michael Beigl:
EstaVis: A Real-World Interactive Platform for Crowdsourced Visual Urban Analytics. Urb-IoT 2016: 65-70
2015
[c2]
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Yong Ding, Julio De Melo Borges, Martin Alexander Neumann, Michael Beigl:
Sequential pattern mining - A study to understand daily activity patterns for load forecasting enhancement. ISC2 2015: 1-6
2014
[c1]
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Matthias Budde, Julio De Melo Borges, Stefan Tomov, Till Riedel, Michael Beigl:
Leveraging spatio-temporal clustering for participatory urban infrastructure monitoring. Urb-IoT 2014: 32-37

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