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
معرفی کتاب «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» نوشتهٔ Jing Xiao, Zhi-Hong Mao, Toyotaro Suzumura, Liang-Jie Zhang، منتشرشده توسط نشر Springer International Publishing : Imprint: Springer در سال 1097. این کتاب در 3 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است.
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. Preface 6 Organization 7 Contents 10 Research: Cognitive Modeling 12 A Set-Associated Bin Packing Algorithm with Multiple Objectives in the Cloud 13 Abstract 13 1 Introduction 13 2 Related Works 14 3 Problem Description 15 4 Design of the Algorithm 17 5 Experiments and Evaluation 20 5.1 Configuration of Experiments 20 5.2 Results 21 6 Conclusions 26 Acknowledgments 26 References 26 A Pair-Wise Method for Aspect-Based Sentiment Analysis 28 1 Introduction 28 2 Related Works 29 3 Our Method 31 3.1 Task Analysis 31 3.2 Framework 32 3.3 Data Preprocessing 33 3.4 Feature Extractor 34 3.5 Aspect-Sentiment Pair Identification 35 3.6 Polarity Classification 35 4 Experimental Results and Discussion 36 4.1 Experimental Settings 36 4.2 Experimental Results on Aspect Identification and Polarity Classification 37 4.3 Experimental Results on Polarity Classification 37 5 Conclusion 38 References 38 Forum User Profiling by Incorporating User Behavior and Social Network Connections 40 1 Introduction 40 2 Related Work 41 3 Our Approach 42 3.1 The Framework 42 3.2 User Behavior Embeddings 43 3.3 Social Network Connection Embeddings 43 3.4 Ensemble Learning 47 4 Experimental Results and Discussion 48 4.1 Datasets and Metrics 48 4.2 Experiment Results 50 5 Conclusion 50 References 51 Adversarial Training for Sarcasm Detection 53 1 Introduction 53 2 Related Work 54 2.1 Adversarial Training 54 2.2 Sarcasm Detection 55 3 Our Approach 56 3.1 Base Neural Networks Model 56 3.2 Attention Mechanism 58 3.3 Adversarial Training 58 4 Experimental Results and Discussion 59 4.1 Datasets 59 4.2 Experiment Settings 60 4.3 Experimental Results 60 5 Conclusion 62 References 63 Reinforcement Learning with Monte Carlo Sampling in Imperfect Information Problems 65 Abstract 65 1 Introduction 65 2 Related Works 66 2.1 MCTS and UCT Approach in Imperfect Information Problems 66 2.2 DNN for MCTS Evaluation Policy 67 3 Modified Reinforcement Learning in Imperfect Information Problems 68 3.1 Reinforce Learning with MCTS Approach 69 3.2 Guarantee Accuracy of Monte Carlo Sampling Estimation 70 4 Experiments 73 5 Conclusion 76 References 76 Research: System Evaluation 78 Comparative Evaluation of Priming Effects on HMDs and Smartphones with Photo Taking Behaviors 79 1 Introduction 79 2 Related Work 80 3 Experimentation 82 3.1 Experimental Method 83 3.2 Results 85 4 Considerations 89 5 Conclusion 91 References 91 An Efficient Diagnosis System for Thyroid Disease Based on Enhanced Kernelized Extreme Learning Mach ... 94 Abstract 94 1 Introduction 94 2 Proposed Method 96 2.1 Local Fisher Discriminant Analysis 96 2.2 Kernelized Extreme Learning Machine 97 2.3 Improved Artificial Bee Colony 98 3 The Proposed LFDA-EKELM Diagnosis System 99 3.1 The Feature Extraction and Feature Reduction Phase 101 3.2 The Classification Phase 101 4 Experimental Design 103 4.1 Data Description 103 4.2 Experimental Setup 103 5 Experimental Results and Discussions 104 6 Conclusions and Future Work 108 Acknowledgements 108 References 108 Supporting Social Information Discovery from Big Uncertain Social Key-Value Data via Graph-Like Metaphors 110 1 Introduction and Related Work 110 2 Background 112 3 Our Cognitive-Based Social Network Analysis System for Mining Uncertain Social Data 114 3.1 Social Network Analysis on Key-Value Data Capturing Uncertain Follow/Subscribe Relationships 114 3.2 Social Network Analysis on Key-Value Data Capturing Uncertain Mutual Friendships 116 4 Experimental Results 121 5 Conclusions and Future Work 122 References 122 Application and Industry Track: Mobile Services 125 Development Status and Trends of Wearable Smart Devices on Wrists 126 Abstract 126 1 Introduction 126 2 Status and Classification Wearable Smart Device 127 2.1 Definition 127 2.2 Classification 127 2.3 Application Field 128 3 Technology Supporting Wearable Smart Devices 128 3.1 Chip Technology 129 3.2 Smart Operating System 130 3.3 MEMS Technology 130 3.4 Interaction Design 130 3.5 Battery-Related Technology 131 4 Development of Smart Devices Market 131 5 Limitations of Smart Devices 133 5.1 Self-quantification Limitations 133 5.2 In Vitro Evolution Limitations 134 6 Prospects 134 Acknowledgements 135 References 135 Localized Mandarin Speech Synthesis Services for Enterprise Scenarios 137 1 Introduction 137 2 Methodology 139 2.1 Overall Architecture 139 2.2 Text Analysis 139 2.3 HMM-Based Mandarin Speech Synthesis 142 2.4 Speech Synthesis as a Service with Epoll 145 3 Experiments 147 3.1 Experimental Setup 147 3.2 Experimental Results 147 4 Conclusions and Future Work 149 References 149 Short Paper Track: Cognitive Modeling 151 Biologically Inspired Augmented Memory Recall Model for Pattern Recognition 152 1 Introduction 152 2 Related Work 153 3 Augmented Memory Recall Architecture 154 3.1 Overview of Memory Recall Architecture 154 3.2 Right Hemisphere: Mapper 154 3.3 Left Hemisphere: Reducer 155 4 Experiments Using Real World Dataset 156 5 Results 157 6 Conclusions 158 References 159 Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices' Comprehension of Business Process Models 160 1 Introduction 161 2 Study Context 161 2.1 Study Setting 162 3 Analysis of Eye-Movements 162 3.1 Discussion 164 4 Related Work 165 5 Summary and Outlook 166 References 167 Detecting Android Malware Using Bytecode Image 169 Abstract 169 1 Introduction 169 2 Related Works 169 3 Malware Detection Method Based on CNN 170 3.1 Visualization of Android APK File 170 3.2 Malware Classification 171 4 Experimental Results 172 5 Conclusions 173 Acknowledgements 174 References 174 The Study of Learners’ Emotional Analysis Based on MOOC 175 Abstract 175 1 Introduction 175 2 Related Work 176 3 Realization of Learner’s Emotion Classification Algorithm Based on Word2vec 177 4 Data Acquisition and Construction of Emotional Corpus 178 4.1 Data Acquisition 178 4.2 Corpus Construction 179 5 Experimental Results and Analysis 180 6 Conclusion 182 References 182 Source Detection Method Based on Propagation Probability 184 Abstract 184 1 Introduction 184 2 Information Source Detection Model Based on Propagation Probability 185 2.1 Problem Description and the Source Centrality Model 185 2.2 Research Motivation 186 2.3 Detection Model Based on Propagation Probability 187 3 Experiment and Analysis 188 3.1 Experimental Data 188 3.2 Evaluation Criteria 189 3.3 Experimental Results 189 4 Conclusion 190 Acknowledgments 191 References 191 Author Index 192 Front Matter ....Pages I-XII Front Matter ....Pages 1-1 A Set-Associated Bin Packing Algorithm with Multiple Objectives in the Cloud (Fei Luo, Chunhua Gu)....Pages 3-17 A Pair-Wise Method for Aspect-Based Sentiment Analysis (Gangbao Chen, Qinglin Zhang, Di Chen)....Pages 18-29 Forum User Profiling by Incorporating User Behavior and Social Network Connections (Di Chen, Qinglin Zhang, Gangbao Chen, Chuang Fan, Qinghong Gao)....Pages 30-42 Adversarial Training for Sarcasm Detection (Qinglin Zhang, Gangbao Chen, Di Chen)....Pages 43-54 Reinforcement Learning with Monte Carlo Sampling in Imperfect Information Problems (Jiajia Zhang, Hong Liu)....Pages 55-67 Front Matter ....Pages 69-69 Comparative Evaluation of Priming Effects on HMDs and Smartphones with Photo Taking Behaviors (Naoya Isoyama, Tsutomu Terada, Masahiko Tsukamoto)....Pages 71-85 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 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 Front Matter ....Pages 117-117 Development Status and Trends of Wearable Smart Devices on Wrists (Yunyao Li, Jing He, Guangyan Huang, Zhijun Xie)....Pages 119-129 Localized Mandarin Speech Synthesis Services for Enterprise Scenarios (Yishuang Ning, Huan Chen, Chunxiao Xing, Liang-Jie Zhang)....Pages 130-143 Front Matter ....Pages 145-145 Biologically Inspired Augmented Memory Recall Model for Pattern Recognition (K. Ashwin Viswanathan, Goutam Mylavarapu, Johnson P. Thomas)....Pages 147-154 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 Detecting Android Malware Using Bytecode Image (Yuxin Ding, Rui Wu, Fuxing Xue)....Pages 164-169 The Study of Learners’ Emotional Analysis Based on MOOC (Hongxiao Fei, Hongyuan Li)....Pages 170-178 Source Detection Method Based on Propagation Probability (Yuxin Ding, Longfei Wang, Rui Wu, Fuxing Xue)....Pages 179-186 Back Matter ....Pages 187-187
دانلود کتاب 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