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  • Conference proceedings
  • © 2017

Knowledge Science, Engineering and Management

10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10412)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): KSEM: International Conference on Knowledge Science, Engineering and Management

Conference proceedings info: KSEM 2017.

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Table of contents (47 papers)

  1. Knowledge Management

    1. Understanding Knowledge Management in Agile Software Development Practice

      • Yanti Andriyani, Rashina Hoda, Robert Amor
      Pages 195-207
  2. Knowledge Integration

    1. Front Matter

      Pages 209-209
    2. Multi-view Unit Intact Space Learning

      • Kun-Yu Lin, Chang-Dong Wang, Yu-Qin Meng, Zhi-Lin Zhao
      Pages 211-223
    3. A Novel Blemish Detection Algorithm for Camera Quality Testing

      • Kun Wang, Kwok-Wai Hung, Jianmin Jiang
      Pages 224-236
    4. Learning to Infer API Mappings from API Documents

      • Yangyang Lu, Ge Li, Zelong Zhao, Linfeng Wen, Zhi Jin
      Pages 237-248
    5. Super-Resolution for Images with Barrel Lens Distortions

      • Mei Su, Kwok-Wai Hung, Jianmin Jiang
      Pages 249-257
  3. Knowledge Retrieval

    1. Front Matter

      Pages 259-259
    2. Mining Schema Knowledge from Linked Data on the Web

      • Razieh Mehri, Petko Valtchev
      Pages 261-273
    3. Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network

      • Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo
      Pages 274-286
    4. Co-saliency Detection Based on Superpixel Clustering

      • Guiqian Zhu, Yi Ji, Xianjin Jiang, Zenan Xu, Chunping Liu
      Pages 287-295
    5. ARMICA-Improved: A New Approach for Association Rule Mining

      • Shahpar Yakhchi, Seyed Mohssen Ghafari, Christos Tjortjis, Mahdi Fazeli
      Pages 296-306
  4. Recommendation Algorithms and Systems

    1. Front Matter

      Pages 307-307
    2. Collaborative Filtering via Different Preference Structures

      • Shaowu Liu, Na Pang, Guandong Xu, Huan Liu
      Pages 309-321
    3. A Multifaceted Model for Cross Domain Recommendation Systems

      • Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
      Pages 322-333
    4. Collaborative Filtering Based on Pairwise User-Item Blocking Structure (PBCF): A General Framework and Its Implementation

      • Fengjuan Zhang, Jianjun Wu, Jianzhao Qin, Xing Liu, Yongqiang Wang
      Pages 346-358
    5. Beyond the Aggregation of Its Members—A Novel Group Recommender System from the Perspective of Preference Distribution

      • Zhiwei Guo, Chaowei Tang, Wenjia Niu, Yunqing Fu, Haiyang Xia, Hui Tang
      Pages 359-370
    6. Exploring Latent Bundles from Social Behaviors for Personalized Ranking

      • Wenli Yu, Li Li, Fan Li, Jinjing Zhang, Fei Hu
      Pages 371-379
    7. Trust-Aware Recommendation in Social Networks

      • Yingyuan Xiao, Zhongjing Bu, Ching-Hsien Hsu, Wenxin Zhu, Yan Shen
      Pages 380-388
    8. Connecting Factorization and Distance Metric Learning for Social Recommendations

      • Junliang Yu, Min Gao, Yuqi Song, Zehua Zhao, Wenge Rong, Qingyu Xiong
      Pages 389-396

Other Volumes

  1. Knowledge Science, Engineering and Management

About this book

​This book constitutes the refereed proceedings of the 10th International Conference on Knowledge Science, Engineering and Management, KSEM 2017, held in Melbourne, Australia, in August 2017.

The 35 revised full papers and 12 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: text mining and document analysis; formal semantics and fuzzy logic; knowledge management; knowledge integration; knowledge retrieval; recommendation algorithms and systems; knowledge engineering; and knowledge representation and reasoning.

Editors and Affiliations

  • Deakin University, Burwood, Australia

    Gang Li

  • University of Arizona, Tucson, USA

    Yong Ge

  • Southwest University, Chongqing, China

    Zili Zhang

  • Peking University, Beijing, China

    Zhi Jin

  • University of Technology Sydney, Sydney, Australia

    Michael Blumenstein

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access