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Program for stream Data Mining and Statistics
Sunday
Monday
Monday, 10:30-12:00
MB-33: Data Mining and Statistics I
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Florian Hauck
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Application of machine learning-for cost estimation in customized furniture production
Virginijus Marcinkevicius, Viktor Medvedev, Olga Kurasova, Tomas Vedlūga -
Machine learning based feeder bus routing design
So Young Sohn, CHUNG PARK, jungpyo lee -
Hidden footage of fluid actors: the evolutionary process of memberships in online communities
Changwoo Suh, Habin Lee -
Railway delay analytics: a data-driven approach to identify systematic train delays and measure the quality of timetables
Florian Hauck, Natalia Kliewer
Monday, 12:30-14:00
MC-33: Data Mining and Statistics II
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Kemal Özkan
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Comparison of machine learning classification algorithms performances in consumer credit-risk scoring
Mervan Aksu -
Data analytics for value determination: an application on data for aircraft spare parts
Clemens Wickboldt, Natalia Kliewer, Natalia Kliewer -
Dependence-biased conditional permutation importance for variable selection
Gianluca Gazzola, Myong-Kee Jeong -
Optimized parameters for bell-shaped error function in recommender system
Kemal Özkan, Seke Erol, Yusuf Kartal, Tolga Ünal, Mahmut Kasap
Monday, 14:30-16:00
MD-33: Data Mining and Statistics III
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Ozden Gur Ali
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A data-mining based process to early identify breast cancer from metabolomic data
Víctor Manuel Rivas Santos, Pedro José Sánchez-Rovira, Josè Javier Rosell García, Leticia Díaz-Beltrán, Jose Perez del Palacio, Francisca Vicente, Caridad Díaz-Navarro, Daniel Franco, Ana Laura Ortega-Granados, Olga Genilloud, Carmen González-Olmedo, Sergio Granados-Principal, Francisco Javier García-Verdejo -
Improvement of schools performance with BI implementation
Rose Nelson, Olga Nazarenko -
Automatic forecasting of category-store sales considering cross-category effects
Ragip Gurlek, Ozden Gur Ali -
Combining local survey data with meta-analysis of global relative risks - studies to more accurately predict prevalence of diseases
Angi Ghanem, Ozden Gur Ali
Tuesday
Tuesday, 8:30-10:00
TA-33: Data Mining and Statistics IV
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Edward Thommes
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Public transport passenger flow analysis and prediction using alternating Markov-modulated linear regression
Nadezda Spiridovska, Irina Jackiva -
An application of process mining and association rule mining for indoor customer data
Onur Doğan, Basar Oztaysi -
Assessing the prior event rate ratio method via probabilistic bias analysis on Bayesian networks
Edward Thommes, Salaheddin Mahmud, Yinong Young-Xu, Julia Thornton Snider, Robertus van Aalst, Jason Lee, Ayman Chit
Tuesday, 10:30-12:00
TB-33: Data Mining and Statistics V
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Emilio CARRIZOSA
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Spatio-temporal clustering and sampling with continuous density-based distance weights
Antonia Gieschen, Jake Ansell, Belen Martin Barragan, Raffaella Calabrese -
Probabilistic inference and evidence-based decision making with incomplete data
Jian-Bo Yang, Dong-Ling Xu -
Pattern analysis methods based on sorting algorithms
Alexey Myachin -
Evidential reasoning rule for sequential machine learning - an application to fault detection
Dong-Ling Xu, Jian-Bo Yang
Tuesday, 12:30-14:00
TC-33: Data Mining, Statistics Theory and Its Applications
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Carly Foster
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Remaining useful life estimation based on deep learning approach
Youngji Yoo, Jun-Geol Baek -
Analyzing business conditions by quantitative text analysis -time series analysis using appearance rate and principal component
Nariyasu Yamasawa -
Data science techniques applied to analysis of incidents registered by the 1-1-2 Canary Islands emergency services
Carlos Perez Gonzalez, Marcos Colebrook, José Luis Roda-García, Carlos Rosa Remedios, Teno González Dos Santos -
A realist evaluation of a learning analytics pilot project at Northumbria University, UK
Carly Foster
Tuesday, 14:30-16:00
TD-33: Recent Perspectives and Advances in Statistics
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Müjgan Tez
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A simulation study comparing the performances of GAM, GAM with B-spline(GAMB) and GLM in classification
Pakize Taylan -
Financial time series forecasting using a fuzzy support vector machine
Engin Tas, Ayca H. Turkan -
Study of the European Parliament votes through the multiple partitioning of signed multiplex networks
Nejat Arinik, Rosa Figueiredo, Vincent Labatut -
A numerical approach for statistical inference of nonlinear regression model parameters
Özlem Türkşen, Müjgan Tez
Wednesday
Wednesday, 8:30-10:00
WA-33: Data Mining Applications in Life Sciences
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Pinar Karadayi Atas, Gerhard-Wilhelm Weber
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Epileptic seizures prediction through the analysis of EEG synchronization
Paolo Detti, Garazi Zabalo Manrique de Lara, Renato Bruni, Marco Pranzo -
Value of patient history for predictive models: a case study using French PMSI database
Hugo De Oliveira, Martin Prodel, Vincent Augusto -
An AHP model for estimating student desertion in higher education institutions
LUIS QUEZADA, Hernan Silva, ASTRID ODDERSHEDE, Pedro Palominos
Wednesday, 10:30-12:00
WB-33: New Applications and Perspectives I
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Pakize Taylan
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Do we need more advanced and complex model to predict micro-enterprises failures?
Aneta Ptak-Chmielewska -
Nudgital: critique of a behavioral political economy
Julia Puaschunder -
Discrete analogues of bivariate continuous distributions
Alessandro Barbiero -
Modelling and managing dynamic pricing strategy for an intensive competitive battle in the drugs industry, using "agile" system dynamics
Kim Warren
Wednesday, 12:30-14:00
WC-33: New Applications and Perspectives II
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Pakize Taylan
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Time series forecasting of driving patterns using LSTM recurrent neural networks for energy management of plug-in vehicles
Orkun Karabasoglu, Damla Kesikburun, Deniz Türsel Eliiyi -
Network methods for fraud detection in the anti-fraud database
Michele Tumminello, Andrea Consiglio, Fabio Farabullini, Riccardo Cesari -
An assessment of the use of machine learning in modern ERP systems to provide competitive advantage for manufacturing companies
Mahmoud Abdelrahman, Christian Askvik-Hansen, Jamie Dyer, Carl McLaughlin, Aaron Wilcock -
The refugee game: blame thy neighbor for terrorism
Andreas Novak, Joao Faria, Aniruddha Bagchi, Timothy Mathews
Wednesday, 14:30-16:00
WD-33: New Applications and Perspectives III
Stream: Data Mining and Statistics
Room: SOUTH BUILDING UV S315 (building 0)
Chair(s):
Emilio CARRIZOSA
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Applying cluster analysis and collaborative filtering to develop hybrid recommendation for personalized picture book
Ling-Jing Kao, Chih-Chou Chiu, April Ying-Chieh Chiu -
Homogenous or heterogeneous? Demand effect of user similarity network in online video website
Jun Yang, Hongjun Huang, Ling Zhao -
Personalized detection - integrating epidemic modeling and user behavior to improve malware detection
Amir Yavneh, Roy Lothan, Dan Yamin -
Characterization for the determination of production times using fuzzy clustering and relative risks
Maria Pastuizaca, Francisco Moreira