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Link to original content: https://unpaywall.org/10.1007/978-3-319-94307-7
Cognitive Computing – ICCC 2018: Second International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings | SpringerLink
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Cognitive Computing – ICCC 2018

Second International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Jing Xiao

    1. Big Data Platform Division, Peking, China

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  2. Zhi-Hong Mao

    1. University of Pittsburgh, Pittsburgh, USA

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  3. Toyotaro Suzumura

    1. IBM Thomas J. Watson Research Center, Yorktown Heights, USA

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  4. Liang-Jie Zhang

    1. Kingdee International Software Group Co., Ltd., Shenzhen, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10971)

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: ICCC 2018.

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About this book

This book constitutes the proceedings of the International Conference on Cognitive Computing, ICCC 2018, held as part of SCF 2018, in Seattle, WA, USA, in June 2018. The 15 papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover all aspects of Sensing Intelligence (SI) as a Service (SIaaS). Cognitive Computing is a sensing-driven computing (SDC) schema that explores and integrates intelligence from all types of senses in various scenarios and solution contexts.


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Table of contents (15 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Research: Cognitive Modeling

    1. Front Matter

      Pages 1-1
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    2. A Set-Associated Bin Packing Algorithm with Multiple Objectives in the Cloud

      • Fei Luo, Chunhua Gu
      Pages 3-17

    3. A Pair-Wise Method for Aspect-Based Sentiment Analysis

      • Gangbao Chen, Qinglin Zhang, Di Chen
      Pages 18-29

    4. Forum User Profiling by Incorporating User Behavior and Social Network Connections

      • Di Chen, Qinglin Zhang, Gangbao Chen, Chuang Fan, Qinghong Gao
      Pages 30-42

    5. Adversarial Training for Sarcasm Detection

      • Qinglin Zhang, Gangbao Chen, Di Chen
      Pages 43-54

    6. Reinforcement Learning with Monte Carlo Sampling in Imperfect Information Problems

      • Jiajia Zhang, Hong Liu
      Pages 55-67

  3. Research: System Evaluation

    1. Front Matter

      Pages 69-69
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    2. Comparative Evaluation of Priming Effects on HMDs and Smartphones with Photo Taking Behaviors

      • Naoya Isoyama, Tsutomu Terada, Masahiko Tsukamoto
      Pages 71-85

    3. An Efficient Diagnosis System for Thyroid Disease Based on Enhanced Kernelized Extreme Learning Machine Approach

      • Chao Ma, Jian Guan, Wenyong Zhao, Chaolun Wang
      Pages 86-101

    4. Supporting Social Information Discovery from Big Uncertain Social Key-Value Data via Graph-Like Metaphors

      • Calvin S. H. Hoi, Carson K. Leung, Kimberly Tran, Alfredo Cuzzocrea, Mario Bochicchio, Marco Simonetti
      Pages 102-116

  4. Application and Industry Track: Mobile Services

    1. Front Matter

      Pages 117-117
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    2. Development Status and Trends of Wearable Smart Devices on Wrists

      • Yunyao Li, Jing He, Guangyan Huang, Zhijun Xie
      Pages 119-129

    3. Localized Mandarin Speech Synthesis Services for Enterprise Scenarios

      • Yishuang Ning, Huan Chen, Chunxiao Xing, Liang-Jie Zhang
      Pages 130-143

  5. Short Paper Track: Cognitive Modeling

    1. Front Matter

      Pages 145-145
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    2. Biologically Inspired Augmented Memory Recall Model for Pattern Recognition

      • K. Ashwin Viswanathan, Goutam Mylavarapu, Johnson P. Thomas
      Pages 147-154

    3. Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices’ Comprehension of Business Process Models

      • Michael Zimoch, Rüdiger Pryss, Georg Layher, Heiko Neumann, Thomas Probst, Winfried Schlee et al.
      Pages 155-163

    4. Detecting Android Malware Using Bytecode Image

      • Yuxin Ding, Rui Wu, Fuxing Xue
      Pages 164-169

    5. The Study of Learners’ Emotional Analysis Based on MOOC

      • Hongxiao Fei, Hongyuan Li
      Pages 170-178

    6. Source Detection Method Based on Propagation Probability

      • Yuxin Ding, Longfei Wang, Rui Wu, Fuxing Xue
      Pages 179-186
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Other volumes

  1. Cognitive Computing – ICCC 2018

Editors and Affiliations

  • Big Data Platform Division, Peking, China

    Jing Xiao

  • University of Pittsburgh, Pittsburgh, USA

    Zhi-Hong Mao

  • IBM Thomas J. Watson Research Center, Yorktown Heights, USA

    Toyotaro Suzumura

  • Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

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