Advances in Artificial Intelligence

30th Canadian Conference on Artificial Intelligence, Canadian AI 2017, Edmonton, AB, Canada, May 16-19, 2017, Proceedings

  • Malek Mouhoub
  • Philippe Langlais

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10233)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10233)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Data Mining and Machine Learning

    1. Front Matter
      Pages 1-1
    2. Huizhen Yu, Ashique Rupam Mahmood, Richard S. Sutton
      Pages 3-14
    3. Samiul Azam, Marina Gavrilova
      Pages 15-26
    4. Shan Zong, Richard Khoury, Rachid Benlamri
      Pages 45-50
    5. Shruthi Mohan, Apala Guha, Michael Harris, Fred Popowich, Ashley Schuster, Chris Priebe
      Pages 51-56
    6. Md. Mohaiminul Islam, Rasif Ajwad, Chen Chi, Michael Domaratzki, Yang Wang, Pingzhao Hu
      Pages 57-63
    7. A. N. K. Zaman, Charlie Obimbo, Rozita A. Dara
      Pages 64-70
    8. Aaron Gerow, Mingyang Zhou, Stan Matwin, Feng Shi
      Pages 71-77
    9. Hospice Houngbo, Robert E. Mercer
      Pages 78-83
    10. Swati Ganguly, Samira Sadaoui
      Pages 84-89
    11. Yi-Chia Tsai, Yu-Da Cheng, Cheng-Wei Wu, Yueh-Ting Lai, Wan-Hsun Hu, Jeu-Yih Jeng et al.
      Pages 103-108
    12. S. Mohammad Mirbagheri, Howard J. Hamilton
      Pages 109-114
  3. Planning and Combinatorial Optimization

    1. Front Matter
      Pages 115-115
    2. Jianmei Guo, Eric Blais, Krzysztof Czarnecki, Peter van Beek
      Pages 117-128

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 30th Canadian Conference on Artificial Intelligence, Canadian AI 2017, held in Edmonton, AB, Canada, in May 2017. The 19 regular papers and 24 short papers presented together with 6 Graduate Student Symposium papers were carefully reviewed and selected from 62 submissions. The focus of the conference was on the following subjects: Data Mining and Machine Learning; Planning and Combinatorial Optimization; AI Applications; Natural Language Processing; Uncertainty and Preference Reasoning; and Agent Systems.

Keywords

bioinformatics data mining genetic algorithms machine learning semantic Web affective computing automated reasoning constraint satisfaction distributed artificial intelligence evolutionary computation genomic data information retrieval knowledge representation multi-objective optimization natural language processing planning and scheduling search methodologies uncertainty user models Web applications

Editors and affiliations

  1. 1.University of ReginaReginaCanada
  2. 2.University of MontrealMontrealCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-57351-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-57350-2
  • Online ISBN 978-3-319-57351-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book