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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I

  • Paolo Frasconi
  • Niels Landwehr
  • Giuseppe Manco
  • Jilles Vreeken

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9851)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9851)

Table of contents

  1. Front Matter
    Pages I-XXXVI
  2. Nitish Shirish Keskar, Albert S. Berahas
    Pages 1-16
  3. Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow
    Pages 17-32
  4. Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
    Pages 33-48
  5. Nguyen Lu Dang Khoa, Sanjay Chawla
    Pages 49-64
  6. Michael Geilke, Andreas Karwath, Stefan Kramer
    Pages 65-80
  7. Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun
    Pages 81-97
  8. Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin
    Pages 98-114
  9. Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
    Pages 115-131
  10. Naoto Ohsaka, Yutaro Yamaguchi, Naonori Kakimura, Ken-ichi Kawarabayashi
    Pages 132-147
  11. Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
    Pages 148-164
  12. Changying Du, Changde Du, Guoping Long, Xin Jin, Yucheng Li
    Pages 165-181
  13. Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
    Pages 182-198
  14. Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
    Pages 199-214
  15. P. K. Srijith, P. Balamurugan, Shirish Shevade
    Pages 215-231
  16. Evangelos Michelioudakis, Anastasios Skarlatidis, Georgios Paliouras, Alexander Artikis
    Pages 232-247
  17. Colin Bellinger, Christopher Drummond, Nathalie Japkowicz
    Pages 248-263
  18. Kijung Shin, Bryan Hooi, Christos Faloutsos
    Pages 264-280
  19. Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao
    Pages 281-295
  20. Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Pierre-Francois Dutot, Denis Trystram
    Pages 296-312
  21. Yang Li, Junyuan Hong, Huanhuan Chen
    Pages 313-328
  22. Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki
    Pages 329-344
  23. Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
    Pages 345-360
  24. Boris Cule, Len Feremans, Bart Goethals
    Pages 361-377
  25. Mahmudur Rahman, Mohammad Al Hasan
    Pages 394-409
  26. Fábio Pinto, Carlos Soares, João Mendes-Moreira
    Pages 410-425
  27. Suncong Zheng, Jiaming Xu, Hongyun Bao, Zhenyu Qi, Jie Zhang, Hongwei Hao et al.
    Pages 443-458
  28. Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin
    Pages 476-492
  29. Shankar Vembu, Sandra Zilles
    Pages 493-508
  30. Yongdai Kim, Minwoo Chae, Kuhwan Jeong, Byungyup Kang, Hyoju Chung
    Pages 509-523
  31. Bolei Zhang, Zhuzhong Qian, Sanglu Lu
    Pages 524-539
  32. Peng Yan, Yun Li
    Pages 540-555
  33. Yahel David, Nahum Shimkin
    Pages 556-571
  34. Dhouha Grissa, Blandine Comte, Estelle Pujos-Guillot, Amedeo Napoli
    Pages 572-587
  35. Iordanis Koutsopoulos, Panagiotis Spentzouris
    Pages 588-603
  36. Romain Tavenard, Simon Malinowski
    Pages 632-647
  37. Krzysztof J. Geras, Charles Sutton
    Pages 681-696
  38. Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal, Philip S. Yu
    Pages 697-713
  39. Oleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft
    Pages 714-730
  40. Suyash P. Awate, Nishanth N. Koushik
    Pages 731-748
  41. Ibrahim Alabdulmohsin, Moustapha Cisse, Xiangliang Zhang
    Pages 749-760
  42. Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
    Pages 777-794

Other volumes

  1. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I
  2. European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II
  3. European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III

About these proceedings

Introduction

The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented  were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Keywords

big data data mining information systems machine learning statistical methods applications artificial intelligence classification clustering enterprise applications graph mining large scale learning learning paradigms pattern mining probabilistic models recommender systems sequence mining social media analysis supervised learning unsupervised learning

Editors and affiliations

  • Paolo Frasconi
    • 1
  • Niels Landwehr
    • 2
  • Giuseppe Manco
    • 3
  • Jilles Vreeken
    • 4
  1. 1.Università degli Studi di FirenzeFirenzeItaly
  2. 2.Computer ScienceUniversity of PotsdamPotsdamGermany
  3. 3.High Performance Computing and NetworksRendeItaly
  4. 4.MPI for InformaticsSaarland UniversitySaarbrückenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-46128-1
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-46127-4
  • Online ISBN 978-3-319-46128-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site