Program for stream Data science and analytics (contributed)

MD-02: Applying data analytics
Stream: Data science and analytics (contributed)
Room: 308B
Chair(s): A. D. Amar

• Using the logical analysis of data to roads’ clustering based on performance
  Soumaya Yacout, Ahmed Elsheikh, Mohamed-Salah Ouali
• Back to the future: Google deep mind's AlphaGo & Monte Carlo tree search
  Michael Fu
• Applying OR/Analytics to skiing: Whistler-Blackcomb's mega day challenge
  John Lyons, Peter Bell, Mehmet Begen
• Real time weighted-dynamic time warping and exponential penalty
  Inseok Lee, Jun-Geol Baek

ME-02: Data mining and big data analysis
Stream: Data science and analytics (contributed)
Room: 308B
Chair(s): Kwang-Jae Kim

• Ranking from textual data
  Andrey Kateshov, Alexander Grigoriev, Nalan Baştürk
• Identifying significant keywords based on diversity indices
  Dohyun (Norman) Kim, Nagyoon Song, Chungmok Lee, Jinseo Park
• Process mining methodology for the development of user-oriented projects
  Yaimara Céspedes González, Patricia Arieta Melgarejo
• System informatics-based services: Recent cases and research issues
  Kwang-Jae Kim, Chie-Hyeon Lim, Jun-Yeon Heo, Minjun Kim, Ki-Hun Kim, Chang-Ho Lee

TB-18: Data science and analytics 1
Stream: Data science and analytics (contributed)
Room: 2101
Chair(s): Sanjay Melkote

• A study on forecasting car sales volume of small sample a combined with big data
  Yue He, dan Zhang, Aixin Wang
• Efficient parcel delivery by deriving customers' key locations
  Stiene Praet, David Martens
• Railway demand forecasting: A machine learning approach
  Neda Etebarialamdari, Gilles Savard, Miguel Anjos
• Predicting power outages using neural networks
  Sanjay Melkote, Francesco Bariani, Mark Freeman, Hannah Myer, Priya Raman, George Slavov

TD-18: Classification problems
Stream: Data science and analytics (contributed)
Room: 2101
Chair(s): Sofie De Cnudde

• An efficient geometric approach for one-class classification with enhanced interpretability and classification accuracy
  Jin Young Choi
• Optimal risk bounds for multi-class supervised classification
  Loubna Benabbou, Pascal Lang
• A norm-ball covering approach to the one-class classification
  Sehwa Kim, Kyungsik Lee, Young-Seon Jeong
• A benchmarking study of classification techniques for big behavioral data
  Sofie De Cnudde, David Martens

TE-18: Forecasting preferences for marketing applications
Stream: Data science and analytics (contributed)
Room: 2101
Chair(s): Gabrielle Gauthier Melançon

• Learning consumer preferences for large-scale assortment optimization
  Sanjay Dominik Jena, Andrea Lodi
• Assortment scoring for fashion in retail
  Christian Hudon
• Cognitive Predictive Models for Marketing Applications
  Pavankumar Murali, Joe Zhou, Ta-Hsin Li, Pietro Mazzoleni
• Preference-based customer segmentation for assortment planning
  Gabrielle Gauthier Melançon

WA-08: Business analytics
Stream: Data science and analytics (contributed)
Room: 205A
Chair(s): Dominique Welt

• A collaborative problem driven requirements engineering approach to design an HR analytics application
  lynda atif, camille rosenthal sabroux
• Optimal feature extraction and selection method for PdM (Predictive Maintenance) of roots-vacuum-pump in semiconductor manufacturing process
  Kyuchang Chang, Youngji Yoo, Jun-Geol Baek
• Optimization of shows schedules on linear television
  Sebastian Souyris, Jaime Miranda
• Critical factors of success for implementing business intelligence initiatives in governmental organizations
  Dominique Welt, ADNENE HAJJI

HA-08: Data science and analytics 2
Stream: Data science and analytics (contributed)
Room: 205A
Chair(s): Wonsang Lee

• Dynamic management for software errors and product recall
  John Wilson
• Vulnerability assessment for populated areas: Case of study Bucaramanga (Colombia)
  Daniel Orlando Martinez Quezada, Henry Lamos, Gustavo Chio Cho
• Measuring and profiling e-government stages of nations: An application of unsupervised learning technique
  Nigussie Mengesha, Dawit Demissie, Anteneh Ayanso
• Analyzing topic transitions of innovations in emerging areas
  Wonsang Lee

HB-08: Data science and analytics 3
Stream: Data science and analytics (contributed)
Room: 205A
Chair(s): sara tagarian

• Selection of appropriate forecasting model
  Ekrem TAÇYILDIZ, Banu GUNER
• The case for inliers
  Jeffry Savitz
• The econometric and time series analysis of price dynamics of new and remanufactured products
  Supanan Phantratanamongkol, Gu Pang
• Developed algorithm for maximum patterns in logical analysis of data
  sara tagarian, Soumaya Yacout, Hany Osman