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20th PKDD / 27th ECML 2016: Riva del Garda, Italy
- Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma C. Garriga, Pauli Miettinen
, Nikolaj Tatti
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
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
h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience. 17-21 - Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. 22-26 - Gennady L. Andrienko, Natalia V. Andrienko
Coordinate Transformations for Characterization and Cluster Analysis of Spatial Configurations in Football. 27-31 - Natalia V. Andrienko
Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics. 32-35 - Philippe Fournier-Viger
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
Ranking Researchers Through Collaboration Pattern Analysis. 50-54 - Leonor Becerra-Bonache, Hendrik Blockeel
Learning Language Models from Images with ReGLL. 55-58 - Nicolas Médoc
Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering. 59-62 - Tuan Nguyen, Nicolas Méger, Christophe Rigotti, Catherine Pothier
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
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
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
ECG Monitoring in Wearable Devices by Sparse Models. 145-160 - Ke Zhang
Do Street Fairs Boost Local Businesses? A Quasi-Experimental Analysis Using Social Network Data. 161-176 - Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis
Intelligent Urban Data Monitoring for Smart Cities. 177-192 - Rustem Bekmukhametov, Sebastian Pölsterl
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
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
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
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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