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Machine Learning, Optimization, and Big Data

Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Panos M. Pardalos

    1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

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  2. Piero Conca

    1. Semantic Technology Laboratory, National Research Council (CNR), Catania, Italy

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  3. Giovanni Giuffrida

    1. Dipartimento di Sociologia e Metodi della Ricerca Sociale, Università di Catania, Catania, Italy

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  4. Giuseppe Nicosia

    1. Department of Mathematics and Computer Science, University of Catania, Catania, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10122)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: MOD 2016.

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About this book

This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016.
The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience presenting a substantial array of ideas, technologies, algorithms, methods and applications.

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Keywords

Table of contents (40 papers)

  1. Front Matter

    Pages I-XVIII
    Download chapter PDF

  2. Machine Learning: Multi-site Evidence-Based Best Practice Discovery

    • Eva K. Lee, Yuanbo Wang, Matthew S. Hagen, Xin Wei, Robert A. Davis, Brent M. Egan
    Pages 1-15

  3. Data-Based Forest Management with Uncertainties and Multiple Objectives

    • Markus Hartikainen, Kyle Eyvindson, Kaisa Miettinen, Annika Kangas
    Pages 16-29

  4. Metabolic Circuit Design Automation by Multi-objective BioCAD

    • Andrea Patané, Piero Conca, Giovanni Carapezza, Andrea Santoro, Jole Costanza, Giuseppe Nicosia
    Pages 30-44

  5. A Nash Equilibrium Approach to Metabolic Network Analysis

    • Angelo Lucia, Peter A. DiMaggio
    Pages 45-58

  6. A Blocking Strategy for Ranking Features According to Probabilistic Relevance

    • Gianluca Bontempi
    Pages 59-69

  7. A Scalable Biclustering Method for Heterogeneous Medical Data

    • Maxence Vandromme, Julie Jacques, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens
    Pages 70-81

  8. Neural Learning of Heuristic Functions for General Game Playing

    • Leo Ghignone, Rossella Cancelliere
    Pages 82-93

  9. Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations

    • Maximilian Panzner, Philipp Cimiano
    Pages 94-105

  10. Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study

    • José A. Cordero, Antonio J. Nebro, Cristóbal Barba-González, Juan J. Durillo, José García-Nieto, Ismael Navas-Delgado et al.
    Pages 106-117

  11. Feature Selection via Co-regularized Sparse-Group Lasso

    • Paula L. Amaral Santos, Sultan Imangaliyev, Klamer Schutte, Evgeni Levin
    Pages 118-131

  12. Economic Lot-Sizing Problem with Remanufacturing Option: Complexity and Algorithms

    • Kerem Akartunalı, Ashwin Arulselvan
    Pages 132-143

  13. A Branch-and-Cut Algorithm for a Multi-item Inventory Distribution Problem

    • Agostinho Agra, Adelaide Cerveira, Cristina Requejo
    Pages 144-158

  14. Adaptive Targeting in Online Advertisement: Models Based on Relative Influence of Factors

    • Andrey Pepelyshev, Yuri Staroselskiy, Anatoly Zhigljavsky, Roman Guchenko
    Pages 159-169

  15. Design of Acoustic Metamaterials Through Nonlinear Programming

    • Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta
    Pages 170-181

  16. Driver Maneuvers Inference Through Machine Learning

    • Mauro Maria Baldi, Guido Perboli, Roberto Tadei
    Pages 182-192

  17. A Systems Biology Approach for Unsupervised Clustering of High-Dimensional Data

    • Diana Diaz, Tin Nguyen, Sorin Draghici
    Pages 193-203

  18. Large-Scale Bandit Recommender System

    • Frédéric Guillou, Romaric Gaudel, Philippe Preux
    Pages 204-215

  19. Automatic Generation of Sitemaps Based on Navigation Systems

    • Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci
    Pages 216-223

  20. A Customer Relationship Management Case Study Based on Banking Data

    • Ivan Luciano Danesi, Cristina Rea
    Pages 224-235
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Other volumes

  1. Machine Learning, Optimization, and Big Data

Editors and Affiliations

  • Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

    Panos M. Pardalos

  • Semantic Technology Laboratory, National Research Council (CNR), Catania, Italy

    Piero Conca

  • Dipartimento di Sociologia e Metodi della Ricerca Sociale, Università di Catania, Catania, Italy

    Giovanni Giuffrida

  • Department of Mathematics and Computer Science, University of Catania, Catania, Italy

    Giuseppe Nicosia

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