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ORCID21st PKDD / 28th ECML 2017: Skopje, Macedonia
- Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski
, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10536, Springer 2017, ISBN 978-3-319-71272-7
Applied Data Science Track
- Rui Chen, Jiajun Liu:
A Novel Framework for Online Sales Burst Prediction. 3-14 - Christina Papagiannopoulou, Stijn Decubber, Diego G. Miralles, Matthias Demuzere, Niko E. C. Verhoest, Willem Waegeman:
Analyzing Granger Causality in Climate Data with Time Series Classification Methods. 15-26 - Gullal Singh Cheema, Saket Anand:
Automatic Detection and Recognition of Individuals in Patterned Species. 27-38 - Di Wu, Boyu Wang, Doina Precup, Benoit Boulet:
Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting. 39-51 - Cansu Sen, Thomas Hartvigsen, Elke A. Rundensteiner, Kajal T. Claypool:
CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining. 52-63 - You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang:
DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters. 64-76 - Abhay Jha:
Disjoint-Support Factors and Seasonality Estimation in E-Commerce. 77-88 - Sara Melvin, Wenchao Yu, Peng Ju, Sean D. Young, Wei Wang:
Event Detection and Summarization Using Phrase Network. 89-101 - C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Ângelo Cardoso:
Generalising Random Forest Parameter Optimisation to Include Stability and Cost. 102-113 - Wouter Duivesteijn, Tara Farzami, Thijs Putman, Evertjan Peer, Hilde J. P. Weerts, Jasper N. Adegeest, Gerson Foks, Mykola Pechenizkiy:
Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining. 114-126 - Keisuke Fujii, Yuki Inaba, Yoshinobu Kawahara:
Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays. 127-139 - Bjarke Felbo, Pål Sundsøy, Alex 'Sandy' Pentland, Sune Lehmann, Yves-Alexandre de Montjoye:
Modeling the Temporal Nature of Human Behavior for Demographics Prediction. 140-152 - Arijit Biswas, Mukul Bhutani, Subhajit Sanyal:
MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings. 153-165 - Dieter Hendricks, Stephen J. Roberts:
Optimal Client Recommendation for Market Makers in Illiquid Financial Products. 166-178 - Joseph Bockhorst, Shi Yu, Luisa F. Polanía, Glenn Fung:
Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center. 179-190 - Benjamin Paul Chamberlain, Clive Humby, Marc Peter Deisenroth:
Probabilistic Inference of Twitter Users' Age Based on What They Follow. 191-203 - Jianing Zhao, Daniel M. Runfola, Peter Kemper:
Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects. 204-215 - Tathagata Mukherjee, Michael Duckett, Piyush Kumar, Jared Devin Paquet, Daniel Rodríguez, Mallory Haulcomb, Kevin George, Eduardo L. Pasiliao Jr.:
RSSI-Based Supervised Learning for Uncooperative Direction-Finding. 216-227 - Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow:
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. 228-240 - Shuhao Wang, Cancheng Liu, Xiang Gao, Hongtao Qu, Wei Xu:
Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks. 241-252 - Mohammad A. Tayebi, Uwe Glässer, Patricia L. Brantingham, Hamed Yaghoubi Shahir:
SINAS: Suspect Investigation Using Offenders' Activity Space. 253-265 - Yaakov HaCohen-Kerner, Ziv Ido, Ronen Ya'akobov:
Stance Classification of Tweets Using Skip Char Ngrams. 266-278 - Gianni Barlacchi, Alberto Rossi, Bruno Lepri, Alessandro Moschitti:
Structural Semantic Models for Automatic Analysis of Urban Areas. 279-291 - Shahrzad Gholami, Benjamin J. Ford, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test. 292-304 - Stefan Thaler, Vlado Menkovski, Milan Petkovic:
Unsupervised Signature Extraction from Forensic Logs. 305-316 - Haytham Assem, Salem Gharbia, Gabor Makrai, Paul Johnston, Laurence W. Gill, Francesco Pilla:
Urban Water Flow and Water Level Prediction Based on Deep Learning. 317-329 - Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Using Machine Learning for Labour Market Intelligence. 330-342
Nectar Track
- Rohit Kumar, Muhammad Aamir Saleem, Toon Calders, Xike Xie, Torben Bach Pedersen:
Activity-Driven Influence Maximization in Social Networks. 345-348 - Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
An AI Planning System for Data Cleaning. 349-353 - Florian Lemmerich, Philipp Singer, Martin Becker, Lisette Espin Noboa, Dimitar Dimitrov, Denis Helic, Andreas Hotho, Markus Strohmaier:
Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications. 354-357 - Fabian Bock, Sergio Di Martino, Monika Sester:
Data-Driven Approaches for Smart Parking. 358-362 - Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Image Representation, Annotation and Retrieval with Predictive Clustering Trees. 363-367 - Tetsuro Kitahara:
Music Generation Using Bayesian Networks. 368-372 - Maria Brbic, Matija Piskorec, Vedrana Vidulin, Anita Krisko, Tomislav Smuc, Fran Supek:
Phenotype Inference from Text and Genomic Data. 373-377 - Jovan Tanevski, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski:
Process-Based Modeling and Design of Dynamical Systems. 378-382 - Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees. 383-387 - Nils M. Kriege, Christopher Morris:
Recent Advances in Kernel-Based Graph Classification. 388-392
Demo Track
- Kamalika Das, Ilya Avrekh, Bryan L. Matthews, Manali Sharma, Nikunj C. Oza:
ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert. 395-399 - Uchenna Akujuobi, Xiangliang Zhang:
Delve: A Data Set Retrieval and Document Analysis System. 400-403 - Louis Kirsch, Niklas Riekenbrauck, Daniel Thevessen, Marcus Pappik, Axel Stebner, Julius Kunze, Alexander Meissner, Arvind Kumar Shekar, Emmanuel Müller:
Framework for Exploring and Understanding Multivariate Correlations. 404-408 - Muhammad Atif Qureshi, Derek Greene:
Lit@EVE: Explainable Recommendation Based on Wikipedia Concept Vectors. 409-413 - Bozidara Cvetkovic, Martin Gjoreski, Jure Sorn, Pavel Maslov, Mitja Lustrek:
Monitoring Physical Activity and Mental Stress Using Wrist-Worn Device and a Smartphone. 414-418 - Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech:
Tetrahedron: Barycentric Measure Visualizer. 419-422 - Natalia Ponomareva, Soroush Radpour, Gilbert Hendry, Salem Haykal, Thomas Colthurst, Petr Mitrichev, Alexander Grushetsky:
TF Boosted Trees: A Scalable TensorFlow Based Framework for Gradient Boosting. 423-427 - Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala:
TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. 428-431 - Livio Bioglio, Ruggero G. Pensa, Valentina Rho:
TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks. 432-436 - Pierre Blanchart, Cédric Gouy-Pailler:
WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis. 437-441
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