Program for stream Data Science Meets Optimization

MA-30: Integrating Machine Learning in Optimization Methods
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Kevin Tierney

• A Machine Learning Approach to increase Production Plan Stability
  Tim Lauer
• Advancing Project Management through the Integration of Knowledge Graph and Machine Learning Technologies
  Nikos Karacapilidis, Nikos Kanakaris, George Kournetas, Vassilis Tampakas
• Imitation or Understanding? Deep Learning to the Test on Constraint Satisfaction Problems
  Andrea Galassi, Michele Lombardi, Paola Mello, Michela Milano
• Deep Learning Assisted Heuristic Tree Search
  Kevin Tierney, André Hottung

MB-30: The Role of Mathematical Optimization in Data Science I
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Vanesa Guerrero

• Combinatorial Optimization for Image Segmentation and Large Scale Data Mining
  Dorit Hochbaum
• Mixed Integer Nonlinear Programming for Feature Selection in DEA
  Sandra Benítez-Peña, Peter Bogetoft, Dolores Romero Morales
• Sparsity and Performance Enhanced Markowitz Portfolios Using Second-Order Cone Programming
  Noam Goldberg, Ishy Zagdoun
• Optimal Arrangements of Hyperplanes for Multiclass SVM-Based Classification
  Víctor Blanco, Alberto Japón Sáez, Justo Puerto

MC-30: Data Science and Optimization
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Patrick De Causmaecker

• A Decision Support System for Job Dispatching in the Weaving Process - a Case Study in Taiwan
  Wen-Chih Chen, Cheng-Hung Wu
• Acquiring Non-Linear Constraints
  Mohit Kumar, Stefano Teso, Luc De Raedt
• Perturbing Polynomially Solvable Problems
  Patrick De Causmaecker, Chao Li, Pieter Smet

MD-30: Data Science in Optimization Algorithms
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Andrew J. Parkes

• Pre-processing and Anomaly Detection of Flight Data
  Zhiyang Liu, Hyo-Sang Shin, Antonios Tsourdos
• Data Driven Models for Predictive Maintenance and Maintenance Scheduling
  Kenan Cem Demirel, Erinc Albey
• Predicting Internal Fraud in Banking
  Ekrem Duman
• Optimising the Design of Medical Screening Methods
  Andrew J. Parkes, Grazziela Figueredo, Peng Shi

TA-30: Graphs, Data and Optimization
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Pieter Leyman

• A Comparison of Models for Uncertain Network Design
  Francis Garuba, Marc Goerigk, Peter Jacko
• Community Detection based on Graph Neural Network
  ChulHee Lee, Dohyun (Norman) Kim, Taeho Kim
• The Intermittent Traveling Salesman Problem: How Can We Properly Combine Solution Representation and Local Search into a Metaheuristic Algorithm?
  Pieter Leyman, Patrick De Causmaecker

TB-30: Optimization of Machine Learning Models
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Dimitri Papadimitriou

• Feature Selection Using Variable Neighborhood Search and K-Nearest Neighbors Algorithm
  GEN-HAN WU, Yung-Hsun Tsai
• Top-N food item recommender system based on mutual information and entropy weighting
  Ante Ivancic, Argyris Kanellopoulos
• Dual Decomposition for Ensuring Data Privacy in Capacity Sharing
  Utku Karaca, Ilker Birbil
• Robust Optimization of Neural Network Models
  Dimitri Papadimitriou

TC-30: The Role of Mathematical Optimization in Data Science II
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Vanesa Guerrero

• Tree-Structured Data Clustering with Graph Edit Distance
  Derya Dinler, Mustafa Kemal Tural, Nur Evin Özdemirel
• Preferences Estimation Under Bounded Rationality: Identification of Attribute non-attendance using SVM
  Veronica Diaz, Ricardo Montoya, Sebastian Maldonado
• On the construction of Optimal Randomized Regression Trees
  Cristina Molero-Río, Rafael Blanquero, Emilio CARRIZOSA, Dolores Romero Morales
• Gaining Insight into Data Through Mixed Integer Nonlinear Programming
  Vanesa Guerrero, Emilio CARRIZOSA, Dolores Romero Morales

TD-30: Emerging Applications in Data Science and Optimization
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Kevin Tierney

• Optimizing tool service life using tool vibration monitoring
  Johannes Pan, Clemens Gutschi
• Analytics and Optimization for FTE Allocation in IBM Global Technology Services
  Ali Koc, Brian Quanz, Ajay Deshpande
• Assortment Optimization for Airline Ancillary Revenue Management
  Ravi Kumar
• Machine learning predicts outcomes of phase and possession-play in Rugby Union
  Neil Watson, Ian Durbach, Theodor Stewart

WA-30: Industrial Optimization
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Grzegorz Pawlak

• Symbiotic Simulation System for Industry 4.0
  Stephan Onggo, Christine Currie, Thomas Monks
• Exploring Log Data from Automotive Testbeds: An Approach Towards Predictive Decision-Making
  Gernot Lechner, Andreas Festl
• Comparison of Maintenance Policies for Multi-Component Systems under Simulated Faults
  Michele Urbani
• Logistic Simulation Model for the Supply Car Factory
  Grzegorz Pawlak

WB-30: Advances in Optimization
Stream: Data Science Meets Optimization
Room: C007
Chair(s): Adam Górski

• On the Optimisation of Monte Carlo Tree Search for No End State Games
  Declan Quinn, Edgar Galvan
• Monitoring and Control of Industrial Processes Using a Unified Machine Learning Approach
  Saad Bashir Alvi, Robert Martin, Johannes Gottschling
• Concurrent Real-Time Optimization of Detecting Unexpected Tasks in IoT Design Process
  Adam Górski, Maciej Ogorzałek