DEBS 2017 - DEBS Grand Challenge

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Thu 22 Jun
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

15:50 - 17:30	Grand ChallengeDEBS Grand Challenge at Sala d'Actes, Vertex Building

15:50 1h40m Talk		The DEBS 2017 Grand Challenge DEBS Grand Challenge Vincenzo Gulisano Chalmers University of Technology, Roman Katerinenko AGT International, Zbigniew Jerzak SAP Research, Martin Strohbach AGT International, Holger Ziekow HS Furtwangen

Unscheduled Events

	Not scheduled Talk		Real-time High Performance Anomaly Detection over Data Streams DEBS Grand Challenge Dimitrije Jankov Rice University, Sourav Sikdar Rice University, Rohan Mukherjee Rice University, Kia Teymourian Rice University, Chris Jermaine Rice University
	Not scheduled Talk		FlinkMan – Anomaly Detection in Manufacturing Equipment with Apache Flink DEBS Grand Challenge Nicolo Rivetti Technion - Israel Institute of Technology, Yann Busnel IMT Atlantique, Avigdor Gal Technion - Israel Institute of Technology
	Not scheduled Talk		Optimized Stage Processing for Anomaly Detection on Numerical Data Streams DEBS Grand Challenge Ciprian Amariei Alexandru Ioan Cuza University of Iasi, Paul Diac Alexandru Ioan Cuza University of Iasi, Emanuel Onica Alexandru Ioan Cuza University of Iasi
	Not scheduled Talk		Runtime Anomaly Detection Method in Smart Factories using Machine Learning on RDF Event Streams DEBS Grand Challenge Joong-Hyun Choi Chungnam National Univ., Kang-Woo Lee Electronics and Telecommunications Institutes, Hyungkun Jung Chungnam National Univ., Eun-Sun Cho Chungnam National University, Korea
	Not scheduled Talk		Anomaly Detection of Manufacturing Equipment via High Performance RDF Data Stream Processing DEBS Grand Challenge Malith Jayasinghe WSO2 Inc., Miyuru Dayarathna WSO2 Inc., Nihla Akram WSO2 Inc., Sachini Siriwardene WSO2 Inc., Srinath Perera WSO2, Isuru Perera WSO2 Inc., Seshika Fernando WSO2 Inc., Sriskandarajah Suhothayan WSO2 Inc., Upul Bandara WSO2 Inc.
	Not scheduled Talk		StreamLearner – Distributed Incremental Machine Learning on Event Streams DEBS Grand Challenge Christian Mayer University of Stuttgart, Ruben Mayer University of Stuttgart, Majd Abdo University of Stuttgart
	Not scheduled Talk		Automatic Anomaly Detection over Sliding Windows DEBS Grand Challenge Tarek Zaarour Insight Centre for Data Analytics NUIG, Niki Pavlopoulou Insight Centre for Data Analytics NUIG, Souleiman Hasan Insight Centre for Data Analytics NUIG, Umair Ulhassan Insight Centre for Data Analytics NUIG, Edward Curry Insight Centre for Data Analytics NUIG

Accepted Papers

	Title
	Anomaly Detection of Manufacturing Equipment via High Performance RDF Data Stream Processing DEBS Grand Challenge Malith Jayasinghe, Miyuru Dayarathna, Nihla Akram, Sachini Siriwardene, Srinath Perera, Isuru Perera, Seshika Fernando, Sriskandarajah Suhothayan, Upul Bandara
	Automatic Anomaly Detection over Sliding Windows DEBS Grand Challenge Tarek Zaarour, Niki Pavlopoulou, Souleiman Hasan, Umair Ulhassan, Edward Curry
	FlinkMan – Anomaly Detection in Manufacturing Equipment with Apache Flink DEBS Grand Challenge Nicolo Rivetti, Yann Busnel, Avigdor Gal
	Optimized Stage Processing for Anomaly Detection on Numerical Data Streams DEBS Grand Challenge Ciprian Amariei, Paul Diac, Emanuel Onica
	Real-time High Performance Anomaly Detection over Data Streams DEBS Grand Challenge Dimitrije Jankov, Sourav Sikdar, Rohan Mukherjee, Kia Teymourian, Chris Jermaine
	Runtime Anomaly Detection Method in Smart Factories using Machine Learning on RDF Event Streams DEBS Grand Challenge Joong-Hyun Choi, Kang-Woo Lee, Hyungkun Jung, Eun-Sun Cho
	StreamLearner – Distributed Incremental Machine Learning on Event Streams DEBS Grand Challenge Christian Mayer, Ruben Mayer, Majd Abdo
	The DEBS 2017 Grand Challenge DEBS Grand Challenge Vincenzo Gulisano, Roman Katerinenko, Zbigniew Jerzak, Martin Strohbach, Holger Ziekow

DEBS Grand Challenge

Program Display Configuration

Thu 22 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Unscheduled Events

Accepted Papers

Thu 22 Jun
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change