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ORCID20th PKDD / 27th ECML 2016: Riva del Garda, Italy
- Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma C. Garriga, Pauli Miettinen
, Nikolaj Tatti, Volker Tresp:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9853, Springer 2016, ISBN 978-3-319-46130-4
Demo Track Contributions
- Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie:
A Tool for Subjective and Interactive Visual Data Exploration. 3-7 - Markus Mauder, Yulia Bobkova, Eirini Ntoutsi:
GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology. 8-11 - Ricardo Cachucho, Kaihua Liu, Siegfried Nijssen, Arno J. Knobbe:
Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series. 12-16 - Guillaume Bosc, Marc Plantevit, Jean-François Boulicaut, Moustafa Bensafi, Mehdi Kaytoue:
h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience. 17-21 - Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko:
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. 22-26 - Gennady L. Andrienko, Natalia V. Andrienko, Guido Budziak, Tatiana von Landesberger, Hendrik Weber:
Coordinate Transformations for Characterization and Cluster Analysis of Spatial Configurations in Football. 27-31 - Natalia V. Andrienko, Gennady L. Andrienko, Salvatore Rinzivillo:
Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics. 32-35 - Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhi-Hong Deng, Hoang Thanh Lam:
The SPMF Open-Source Data Mining Library Version 2. 36-40 - Oualid Benyahia, Christine Largeron, Baptiste Jeudy, Osmar R. Zaïane:
DANCer: Dynamic Attributed Network with Community Structure Generator. 41-44 - Gevorg Poghosyan, Muhammad Atif Qureshi, Georgiana Ifrim:
Topy: Real-Time Story Tracking via Social Tags. 45-49 - Mario Cataldi, Luigi Di Caro, Claudio Schifanella:
Ranking Researchers Through Collaboration Pattern Analysis. 50-54 - Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet:
Learning Language Models from Images with ReGLL. 55-58 - Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif:
Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering. 59-62 - Tuan Nguyen, Nicolas Méger, Christophe Rigotti, Catherine Pothier, Rémi Andreoli:
SITS-P2miner: Pattern-Based Mining of Satellite Image Time Series. 63-66 - Alexander Nieuwenhuijse, Jorn Bakker, Mykola Pechenizkiy:
Finding Incident-Related Social Media Messages for Emergency Awareness. 67-70 - Muhammad Atif Qureshi, Arjumand Younus, Derek Greene:
TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle. 71-75
Industrial Track Contributions
- Ling He, Lee Murphy, Jiebo Luo:
Using Social Media to Promote STEM Education: Matching College Students with Role Models. 79-95 - Luís Moreira-Matias, João Gama, João Mendes-Moreira:
Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining. 96-111 - Ermal Toto, Elke A. Rundensteiner, Yanhua Li, Richard Jordan, Mariya Ishutkina, Kajal T. Claypool, Jun Luo, Fan Zhang:
PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations. 112-128 - Yun Cheng, Xiucheng Li, Yan Li:
Finding Dynamic Co-evolving Zones in Spatial-Temporal Time Series Data. 129-144 - Diego Carrera, Beatrice Rossi, Daniele Zambon, Pasqualina Fragneto, Giacomo Boracchi:
ECG Monitoring in Wearable Devices by Sparse Models. 145-160 - Ke Zhang, Konstantinos Pelechrinis:
Do Street Fairs Boost Local Businesses? A Quasi-Experimental Analysis Using Social Network Data. 161-176 - Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien:
Intelligent Urban Data Monitoring for Smart Cities. 177-192 - Rustem Bekmukhametov, Sebastian Pölsterl, Thomas Allmendinger, Minh-Duc Doan, Nassir Navab:
Automatic Detection of Non-Biological Artifacts in ECGs Acquired During Cardiac Computed Tomography. 193-208 - Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan L. Matthews, David Nielsen, Nikunj C. Oza:
Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation. 209-225 - Joshua Siegel, Sumeet Kumar, Isaac Ehrenberg, Sanjay E. Sarma:
Engine Misfire Detection with Pervasive Mobile Audio. 226-241
Nectar Track Contributions
- Michael Tschuggnall, Günther Specht:
From Plagiarism Detection to Bible Analysis: The Potential of Machine Learning for Grammar-Based Text Analysis. 245-248 - Salvatore Ruggieri, Franco Turini:
A KDD Process for Discrimination Discovery. 249-253 - Bruce Ferwerda, Markus Schedl:
Personality-Based User Modeling for Music Recommender Systems. 254-257 - Stephan Spiegel, Norbert Marwan:
Time and Again: - Time Series Mining via Recurrence Quantification Analysis. 258-262 - Hendrik Blom, Katharina Morik:
Resource-Aware Steel Production Through Data Mining. 263-266 - Verena Honsel, Steffen Herbold, Jens Grabowski:
Learning from Software Project Histories - Predictive Studies Based on Mining Software Repositories. 267-270 - Billy Okal, Kai Oliver Arras:
Practical Bayesian Inverse Reinforcement Learning for Robot Navigation. 271-274 - Sofie Van Gassen, Tom Dhaene, Yvan Saeys:
Machine Learning Challenges for Single Cell Data. 275-279 - Mark Last:
Multi-target Classification: Methodology and Practical Case Studies. 280-283 - Rishabh Mehrotra, Emine Yilmaz:
Query Log Mining for Inferring User Tasks and Needs. 284-288 - Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang, Vadim V. Kononov, Adam G. M. Pazdor:
Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns. 289-293 - Musfira Jilani, Padraig Corcoran, Michela Bertolotto:
Machine Learning for Crowdsourced Spatial Data. 294-297 - Martin Atzmueller:
Local Exceptionality Detection on Social Interaction Networks. 298-302
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