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19th ICDM 2019: Beijing, China - Workshops

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  • CDEC-The 2nd International Workshop on Cross-disciplinary Data Exchange and Collaboration
  • AML 2019-1st IEEE ICDM Workshop on Autonomous Machine Learning
  • BDA-ICDM Workshop on Blockchain Data Analytics
  • DMS-Data Mining for Service
  • DSBDA-Workshop on Data Science and Big Data Analytics
  • SENTIRE-Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
  • DFM-Dynamic Feature Mining
  • SCW-The Social Computing Workshop
  • TMDM-Translational Multimedia Data Mining for AI-Based Medical Diagnostics
  • DMBIH-Workshop on Data Mining in Biomedical Informatics and Healthcare
  • PhD Forum

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  Panagiotis Papapetrou, Xueqi Cheng, Qing He:
  2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019. IEEE 2019, ISBN 978-1-7281-4896-0

CDEC-The 2nd International Workshop on Cross-disciplinary Data Exchange and Collaboration

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    Yoshiaki Fukami:
    Standardization for Innovation with Data Exchange. 1-4
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    Kotaro Fukishima, Akinori Abe, Reina Kawada:
    How Will Sense of Values Change during Art Appreciation? 5-12
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    Hiroshi Nagaya, Kazuko Uno, Hiroyuki A. Torii:
    Tracking Topics of Influential Tweets on Fukushima Disaster Over Long Periods of Time. 13-16
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    Yuta Niki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima:
    Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models. 17-23
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    Hiroki Sakaji, Yasutomo Kimura, Kiyoshi Izumi, Hiroyasu Matsushima:
    Extraction of Volitional Utterances from Japanese Local Political Corpus. 24-29
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    Masahiro Suzuki, Toshiya Katagi, Hiroki Sakaji, Kiyoshi Izumi, Yasushi Ishikawa:
    Stock Price Analysis Using Combination of Analyst Reports and Several Documents. 30-36
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    Takehiro Tezuka, Lihua Wang, Takuya Hayashi, Seiichi Ozawa:
    A Fast Privacy-Preserving Multi-Layer Perceptron Using Ring-LWE-Based Homomorphic Encryption. 37-44
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    Teppei Yagihashi:
    Social Data Platform, D-Ocean. 45-48
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    Zhibo Yang, Luyun Li:
    An Online Retrieval Question Answering System for Featured Snippets Triggering. 49-55

BSMDMA-Big Social Media Data Management and Analysis

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    Shuntong Chen, Huaien Qian, Yanping Wu, Chen Chen, Xiaoyang Wang:
    Efficient Adoption Maximization in Multi-layer Social Networks. 56-60
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    Didier Henry, Erick Stattner:
    Predictive Models for Early Detection of Hoax Spread in Twitter. 61-64
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    Irena Holubová, Martin Svoboda, David Bernhauer, Tomás Skopal, Petr Pascenko:
    Inferred Social Networks: A Case Study. 65-68
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    Alvis Logins, Panagiotis Karras:
    Content-Based Network Influence Probabilities: Extraction and Application. 69-72
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    Fan Mo, Hayato Yamana:
    Point of Interest Recommendation by Exploiting Geographical Weighted Center and Categorical Preference. 73-76

AML 2019-1st IEEE ICDM Workshop on Autonomous Machine Learning

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    Abhay M. S. Aradhya, Andri Ashfahani:
    Deep Network Optimization for rs-fMRI Classification. 77-82
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    Andri Ashfahani:
    Autonomous Deep Learning: Incremental Learning of Deep Neural Networks for Evolving Data Streams. 83-90
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    Leong Jing Chen, John Henawy, Basaran Bahadir Kocer, Gerald Gim Lee Seet:
    Aerial Robots On the Way to Underground: An Experimental Evaluation of VINS-Mono on Visual-Inertial Odometry Camera. 91-96
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    Salijona Dyrmishi, Radwa El Shawi, Sherif Sakr:
    A Decision Support Framework for AutoML Systems: A Meta-Learning Approach. 97-106
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    Md Meftahul Ferdaus:
    Recent Advancements in Autonomous Intelligent Control Techniques: Design and Implementation. 107-113
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    Peilan He, Yidan Sun, Guiyuan Jiang, Siew-Kei Lam:
    Predicting Travel Time of Bus Journeys with Alternative Bus Services. 114-123
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    Lidan Wang, Trung Bui, Franck Dernoncourt, Natwar Modani:
    A Markov Network Model for Natural Language Semantic Matching. 124-130

DeepSpatial: Deep Learning for Spatio-temporal and Graph-based Data

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    Mehmet Dedeoglu, Jessica Zhang, Runli Liang:
    Emotion Classification Based on Audiovisual Information Fusion Using Deep Learning. 131-134
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    Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert:
    Spatial Interpolation with Message Passing Framework. 135-141
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    Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert:
    XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. 142-148
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    Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan:
    Spatiotemporal Attention Networks for Wind Power Forecasting. 149-154
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    Lin Kong, Xiaying Bai, Yang Hu, Fanhua Shang, Yuanyuan Liu, Hongying Liu:
    A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems. 155-164
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    Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao:
    A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images. 165-171
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    Fanhua Shang, Zhihui Zhang, Yuying An, Yang Hu, Hongying Liu:
    Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD. 172-179
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    Kuan Song, Xiaochen Yu, Zhu Gu, Wenpeng Zhang, Guowei Yang, Qixun Wang, Chunmeng Xu, Jianzhong Liu, Wenjun Liu, Chen Shi, Ying Wang, Gong Zhang:
    Deep Learning Prediction of Incoming Rainfalls: An Operational Service for the City of Beijing China. 180-185
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    Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao:
    signADAM++: Learning Confidences for Deep Neural Networks. 186-195
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    Haoyu Wang, Yawen Guan, Brian J. Reich:
    Nearest-Neighbor Neural Networks for Geostatistics. 196-205
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    Peng Wu, Yumin Tan:
    Estimation of Economic Indicators using Residual Neural Network ResNet50. 206-209
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    Yashan Wang, Yuchun Guo, Zhongrui Wei, Yin Huang, Xiang Liu:
    Traffic Flow Prediction Based on Deep Neural Networks. 210-215

BDA-ICDM Workshop on Blockchain Data Analytics

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    Rhonda Bush, Soohyun Choi:
    Forecasting Ethereum STORJ Token Prices: Comparative Analyses of Applied Bitcoin Models. 216-223
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    Dipnil Chakraborty, Akash Roy:
    Time Series Methodology in STORJ Token Prediction. 224-231
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    Yuzhou Chen, Hon Keung Tony Ng:
    Deep Learning Ethereum Token Price Prediction with Network Motif Analysis. 232-237
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    Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev:
    Topological Data Analysis for Portfolio Management of Cryptocurrencies. 238-243
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    Friedhelm Victor, Tanja Hagemann:
    Cryptocurrency Pump and Dump Schemes: Quantification and Detection. 244-251

DMESS-DMCIH: Joint Workshop on Data Mining in Earth System Science and Data Mining in Climate Change Impact, Mitigation and Human Behavior

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    Didier Henry, Nathan Jadoul, Reynald Eugénie, Erick Stattner:
    Climate Change Perception in Scientific and Public Sphere. 252-261
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    Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman:
    Deep Transfer Learning With Field-Based Measurements for Large Area Classification. 262-269
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    Dan Lu, Siyan Liu, Daniel M. Ricciuto:
    An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science. 270-278
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    Dan Lu, Daniel M. Ricciuto:
    Learning-Based Inversion-Free Model-Data Integration to Advance Ecosystem Model Prediction. 279-287
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    Yuping Lu, Jitendra Kumar:
    Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars. 288-295
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    Erick Stattner, Nathan Jadoul:
    Climate Data Analytics Applied to Sugar Cane Crop in the French West Indies. 296-302
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    Min Xu, Salil Mahajan, Forrest M. Hoffman, Xiaoying Shi:
    Evaluating Carbon Extremes in a Coupled Climate-Carbon Cycle Simulation. 303-310

DMS-Data Mining for Service

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    Jiansheng Fang, Wei Zhao, Dongya Jia:
    Exercise Difficulty Prediction in Online Education Systems. 311-317
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    Xuanang Feng, Jianing Zhao, Eisuke Kita:
    Genetic Algorithm Based Optimization of Deep Neural Network Ensemble for Personal Identification in Pedestrians Behaviors. 318-325
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    Björn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt:
    Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling. 326-332
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    Shoji Hirano, Haruko Iwata, Tomohiro Kimura, Shusaku Tsumoto:
    Clinical Pathway Generation from Order Histories and Discharge Summaries. 333-340
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    Ken Ishibashi:
    Application of Deep Learning to Pre-processing of Cousumer's Eye Tracking Data in Supermarket. 341-348
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    Yuta Kaneko:
    Customer-Base Sequential Data Analysis: An Application of Attentive Neural Networks to Sales Forecasting. 349-355
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    Natsuki Sano, Yuta Hattori:
    Utility Evaluation Measures for Categorical Data by Classification Performance. 356-361
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    Jiangyi Yin, Yuchun Guo, Yishuai Chen:
    Heterogenous Information Network Embedding Based Cross-Domain Recommendation System. 362-369
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    Qing Zhang, Liyuan Qiu, Huaiwen Wu, Jinshan Wang, Hengliang Luo:
    Deep Learning Based Dynamic Pricing Model for Hotel Revenue Management. 370-375

OEDM & DMIIOT: Workshop on Optimization-based Techniques for Emerging Data Mining Problems

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    Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani:
    Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO. 376-384
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    Yuhan Lin, Minglong Lei, Lingfeng Niu:
    Optimization Strategies in Quantized Neural Networks: A Review. 385-390
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    Tomonari Masada, Takumi Eguchi, Daisuke Hamaguchi:
    Difference between Similars: A Novel Method to Use Topic Models for Sensor Data Analysis. 391-398
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    Devon Peticolas, Russell Kirmayer, Deepak Turaga:
    Mímir: Building and Deploying an ML Framework for Industrial IoT. 399-406

DSBDA-Workshop on Data Science and Big Data Analytics

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    António Pereira Barata, Frank W. Takes, H. Jaap van den Herik, Cor J. Veenman:
    Imputation Methods Outperform Missing-Indicator for Data Missing Completely at Random. 407-414
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    Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin:
    Comparative Study on Trajectory Outlier Detection Algorithms. 415-423
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    Junqiang Liu, Xiangcai Yang, Yanjun Hu, Bo Jiang, Yong Zhang, Zhousheng Ye:
    Distributed Mining of Frequent Patterns in Big Data by Hybrid Strategies. 424-433
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    Lulu Wang, Huahui Liu, Guanhao Chen, Guoqiao Ye, Xiaonan Meng, Yi Hu, Hao Wang:
    Learning Theory and Algorithms for Revenue Maximization in Sponsored Search. 434-440
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    Yoshiki Yoneda, Yu Suzuki, Akiyo Nadamoto:
    Behavioral Facilitation Tweets with Basis Extraction. 441-447
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    Peng Zhao, Fan Yang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
    A High Performance Text Vector Similarity Search Method Based on Overlapping Degree. 448-454

DaMNet-Workshop on Data Mining in Networks

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    Petr Chunaev, Ivan Nuzhdenko, Klavdiya Bochenina:
    Community Detection in Attributed Social Networks: A Unified Weight-Based Model and Its Regimes. 455-464
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    Oluwabunmi Oloruntoba, Georgina Cosma, Antonio Liotta:
    Clan-Based Cultural Algorithm for Feature Selection. 465-472
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    Wei Song, Shuyuan Dai, Jian Wang, Dongmei Huang, Antonio Liotta, Giuseppe Di Fatta:
    Bi-gradient Verification for Grad-CAM Towards Accurate Visual Explanation for Remote Sensing Images. 473-479
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    Chris Wrench, Frederic T. Stahl, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck:
    A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network. 480-489
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    Mengyu Yan, Zhinong Zhong, Ning Jing, Ye Wu:
    Method for Calculating Geographic Entity Relevance Based on Spatial and Semantic Association. 490-496
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    Bo Yuan, Ashiq Anjum, John Panneerselvam, Lu Liu:
    Exploring Network Embedding for Efficient Message Routing in Opportunistic Mobile Social Networks. 497-504
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    Lidan Wang, Xiao Yu, Fangbo Tao:
    A Community-Enhanced Retrieval Model for Text-Rich Heterogeneous Information Networks. 505-513

SENTIRE-Sentiment Elicitation from Natural Text for Information Retrieval and Extraction

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    Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
    Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. 514-521
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    Mandar Gogate, Amir Hussain, Kaizhu Huang:
    Random Features and Random Neurons for Brain-Inspired Big Data Analytics. 522-529
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    Claudia Guerreiro, Erik Cambria, Hien T. Nguyen:
    Understanding the Role of Social Media in Backpacker Tourism. 530-537
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    Lantian Guo, Xiaoyan Cai, Haohua Qin, Yangming Guo, Fei Li, Gang Tian:
    Citation Recommendation with a Content-Sensitive DeepWalk Based Approach. 538-543
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    Pratik Ratadiya, Deepak Mishra:
    An Attention Ensemble Based Approach for Multilabel Profanity Detection. 544-550
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    Hajung Sohn, Hyunju Lee:
    MC-BERT4HATE: Hate Speech Detection using Multi-channel BERT for Different Languages and Translations. 551-559
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    Kaizhou Xuan, Rui Xia:
    Rumor Stance Classification via Machine Learning with Text, User and Propagation Features. 560-566

SSTDM-Workshop on Spatial and Spatio-Temporal Data Mining

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    Alfredo Cuzzocrea:
    Management and Analytics of Big Data Sources in Intelligent Smart Environments: Where We Are and Where We Are Going. 567-572
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    Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
    Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. 573-580
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    Soumya Suvra Ghosal, Abderrahman Bani, Amine Amrouss, Issmail El Hallaoui:
    A Deep Learning Approach to Predict Parking Occupancy using Cluster Augmented Learning Method. 581-586
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    Shiau Hong Lim, Hasan Poonawala, Laura Wynter:
    Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction. 587-594
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    Noureddin Sadawi, Alina Dana Miron, Waidah Ismail, Hafez Hussain, Crina Grosan:
    Gesture Correctness Estimation with Deep Neural Networks and Rough Path Descriptors. 595-602
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    Minhui Xue, Xin Yuan, Heather Lee, Keith W. Ross:
    Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights Into Global Migration Flows. 603-608
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    Yirong Zhou, Hao Chen, Jun Li, Ye Wu, Jiangjiang Wu, Luo Chen:
    ST-Attn: Spatial-Temporal Attention Mechanism for Multi-step Citywide Crowd Flow Prediction. 609-614

DFM-Dynamic Feature Mining

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    Liang Du, Xiaolin Lv:
    Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection. 615-619
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    Qian Guo, Yuhua Qian, Xinyan Liang:
    Mining Logic Patterns from Visual Data. 620-627
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    Weijin Jiang, Yang Wang, Xiaoliang Liu, Jiahui Chen:
    A New Classification Method of Signature Network Node Based on Potential Space Projection. 628-633
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    Yachen Kang, Sibo Gai, Feng Zhao, Donglin Wang, Yi Luo:
    Cross-Domain Deep Collaborative Filtering for Recommendation. 634-638
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    Feijiang Li, Yuhua Qian, Jieting Wang:
    Prototype Propagation Clustering Based on Large Margin. 639-645
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    Jun Li, Xianglong Liu, Jun Xiao, Hainan Li, Shuo Wang, Liang Liu:
    Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks. 646-652
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    Jiao Liu, Mingbo Zhao:
    Capped l2, 1-Norm Regularized Dictionary Coding for Scalable Semi-Supervised Learning. 653-657
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    Xian-Qin Ma, Chongchong Yu, Xin Yang, Xiuxin Chen:
    Few-Shot Learning Based on Attention Relation Compare Network. 658-664
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    Lifang Wu, Bowen Yang, Meng Jian, Xiuzhen Zhang, Heng Zhang, Xu Liu:
    Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks. 665-672
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    Jie Yang, Simon Fong, Tengyue Li:
    Attribute Reduction Based on Multi-objective Decomposition-Ensemble Optimizer with Rough Set and Entropy. 673-680
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    Xuxia Zhang, Xiaodong Yue, Zhikang Xu:
    Efficient Attribute Reduction with Submodular Function Optimization. 681-688
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    Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei:
    Improved Multi-view Multi-label Learning with Incomplete Views and Labels. 689-696

HDM-IEEE ICDM Workshop on High Dimensional Data Mining

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    Adahlia Charles:
    Underdetermined Blind Source Separation for Hard Clipped Stereophonic Mixtures. 697-702
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    Jinyu Li, Yu Pan, Hongfeng Yu, Qi Zhang:
    Prediction Approach for Ising Model Estimation. 703-710
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    Jiacheng Yang, Bin Chen, Shu-Tao Xia:
    Mean-Removed Product Quantization for Approximate Nearest Neighbor Search. 711-718
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    Xi Zhang, Ata Kabán:
    Experiments with Random Projections Ensembles: Linear Versus Quadratic Discriminants. 719-726

SCW-The Social Computing Workshop

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    Zhenhua Huang, Zhenyu Wang, Rui Zhang, Yangyang Zhao, Xiaohui Xie, Sharad Mehrotra:
    Network2Vec: Learning Node Representation Based on Space Mapping in Networks. 727-734
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    Yufei Liu, Jie Cao:
    IIRank: A Novel Algorithm for Identifying Influencers in Micro-Blog Social Networks. 735-740
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    Wenquan Tian, Qixiang Song, Shanshan Li, Zhiwei Zhang, Jiakang Tang:
    Age Label Distribution Estimation Algorithm Based on Kernel Extreme Learning Machine. 741-750
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    Chenyu Wang, Zhongchen Miao, Yuefeng Lin, Jian Gao:
    User and Topic Hybrid Context Embedding for Finance-Related Text Data Mining. 751-760

LMID-Workshop on Learning and Mining with Industrial Data

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    Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck:
    Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks. 761-768
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    Lucas Foulon, Serge Fenet, Christophe Rigotti, Denis Jouvin:
    Scoring Message Stream Anomalies in Railway Communication Systems. 769-776
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    Simon Kocbek, Bogdan Gabrys:
    Automated Machine Learning Techniques in Prognostics of Railway Track Defects. 777-784
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    Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt:
    Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. 785-792
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    Naoya Takeishi:
    Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection. 793-798
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    Sundararaman Venkataramani, Ateendra Ramesh, Sharan Sundar S, Aashish Kumar Jain, Gautham Krishna Gudur, Vineeth Vijayaraghavan:
    A Dynamically Adaptive Movie Occupancy Forecasting System with Feature Optimization. 799-805
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    Zijiang Yang, Tetsushi Watari, Daisuke Ichigozaki, Kei Morohoshi, Yoshinori Suga, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
    Data-Driven Insights from Predictive Analytics on Heterogeneous Experimental Data of Industrial Magnetic Materials. 806-813
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    Bing Zhao, Mingrui Dai, Ping Li, Xiao-ning Ma:
    Data Mining in Railway Defect Image Based on Object Detection Technology. 814-819

TMDM-Translational Multimedia Data Mining for AI-Based Medical Diagnostics

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    Masaharu Goto, Naoki Kobayashi, Gang Ren, Mitsunori Ogihara:
    Multi-scale Sequential Pattern Discovery and Alignment for Long-Duration Waveform Similarity Quantification and Interpretation. 820-829
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    Joseph Johnson, Raju Parakkal, Sherry Bartz, Gang Ren, Mitsunori Ogihara:
    Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes. 830-837
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    Luis Quintero, Panagiotis Papapetrou, John Edison Muñoz, Uno Fors:
    Implementation of Mobile-Based Real-Time Heart Rate Variability Detection for Personalized Healthcare. 838-846
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  • 
    Saad Sadiq, Micheal Castellanos, Jacquelyn Moffitt, Mei-Ling Shyu, Lynn Perry, Daniel S. Messinger:
    Deep Learning Based Multimedia Data Mining for Autism Spectrum Disorder (ASD) Diagnosis. 847-854
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  • 
  • 
  • 
  • 
    Yudong Tao, Samantha G. Mitsven, Lynn K. Perry, Daniel S. Messinger, Mei-Ling Shyu:
    Audio-Based Group Detection for Classroom Dynamics Analysis. 855-862

UHAVE-International Workshop on Understanding and Harnessing AdVersarial Examples

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    Yong Dai, Jian Zhang, Shuai Yuan, Zenglin Xu:
    A Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation. 863-868
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  • 
  • 
  • 
  • 
    Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu:
    Deep Minimax Probability Machine. 869-876
• 
  • 
  • 
  • 
  • 
    Da Ke, Zhitao Huang, Xiang Wang, Liting Sun:
    Application of Adversarial Examples in Communication Modulation Classification. 877-882
• 
  • 
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  • 
  • 
    Ming Sun, Fang Zhou, Chun Yang, Xu-Cheng Yin:
    Image Generation Framework for Unbalanced License Plate Data Set. 883-889
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  • 
  • 
  • 
  • 
    Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Amir Hussain:
    Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation. 890-897
• 
  • 
  • 
  • 
  • 
    Hang Yu, Derong Chen, Jiulu Gong:
    Video Saliency Detection with Gated CNN and Residual Architecture. 898-904
• 
  • 
  • 
  • 
  • 
    Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain:
    SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. 905-910
• 
  • 
  • 
  • 
  • 
    Li Zhao, Fang Zhou, Chun Yang, Xu-Cheng Yin:
    Feature-Matching Speech Denoising GANs via Progressive Training. 911-917

DMBIH-Workshop on Data Mining in Biomedical Informatics and Healthcare

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  • 
    Suzan Arslanturk, Mohammad-Reza Siadat, Theophilus Ogunyemi, Kim Killinger, Ananias Diokno:
    Effect of Missing Data Imputation on Prediction of Urinary Incontinence. 918-924
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  • 
  • 
  • 
  • 
    Maria Bampa, Panagiotis Papapetrou:
    Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows. 925-932
• 
  • 
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  • 
  • 
    David Bethge, Jieshi Chen, Oliver Grothe, Jonathan Elmer, Artur Dubrawski:
    Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. 933-940
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  • 
  • 
  • 
  • 
    Samah J. Fodeh, Taihua Li, Kevin Menczynski, Tedd Burgette, Andrew Harris, Georgeta Ilita, Satyan Rao, Jonathan Gemmell, Daniela Raicu:
    Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter. 941-948
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  • 
  • 
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  • 
    Anahita Hosseini, Tyler Davis, Majid Sarrafzadeh:
    Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks. 949-957
• 
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  • 
  • 
    Evan Stene, Farnoush Banaei Kashani:
    SeAlM: A Query Cache Optimization Technique for Next Generation Sequence Alignment. 958-965
• 
  • 
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  • 
    Lin Zhu, Xinnan Dai, Qihao Huang, Hai Xiang, Jie Zheng:
    Topic Judgment Helps Question Similarity Prediction in Medical FAQ Dialogue Systems. 966-972

UDML-Workshop on Utility-Driven Mining and Learning

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  • 
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  • 
  • 
    Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State:
    Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. 973-981
• 
  • 
  • 
  • 
  • 
    Tzung-Pei Hong, Ping-Hung Chiang, Wei-Ming Huang, Jerry Chun-Wei Lin:
    Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights. 982-986
• 
  • 
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  • 
    Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
    Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. 987-996
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  • 
    Srikumar Krishnamoorthy, Debjit Roy:
    An Utility-Based Storage Assignment Strategy for e-Commerce Warehouse Management. 997-1004
• 
  • 
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  • 
  • 
    Chia Hua Li, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng:
    An Efficient Algorithm for Mining High Utility Quantitative Itemsets. 1005-1012
• 
  • 
  • 
  • 
  • 
    Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
    An Efficient Chain Structure to Mine High-Utility Sequential Patterns. 1013-1019
• 
  • 
  • 
  • 
  • 
    C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy:
    Discovering Periodic Patterns in Irregular Time Series. 1020-1028
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    Tomasz Wiktorski, Jerry Chun-Wei Lin:
    Approximate Approach to Finding Generic Utility of Sequential Patterns. 1029-1034

PhD Forum

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    Lena Greta Marie Bauer, Philipp Grohs, Afra M. Wohlschläger, Claudia Plant:
    Planting Synchronisation Trees for Discovering Interaction Patterns Among Brain Regions. 1035-1036
• 
  • 
  • 
  • 
  • 
    Hongliang Du, Zhiyi Jiang, Jianliang Gao:
    Who is Who: Name Disambiguation in Large-Scale Scientific Literature. 1037-1044
• 
  • 
  • 
  • 
  • 
    Wenbin Gan, Yuan Sun, Shiwei Ye, Ye Fan, Yi Sun:
    Field-Aware Knowledge Tracing Machine by Modelling Students' Dynamic Learning Procedure and Item Difficulty. 1045-1046
• 
  • 
  • 
  • 
  • 
    Fiete Lüer, Dominik Mautz, Christian Böhm:
    Anomaly Detection in Time Series using Generative Adversarial Networks. 1047-1048
• 
  • 
  • 
  • 
  • 
    Robert Phan, Thoai Man Luu, Rachel Davey, Girija Chetty:
    Enhancing Clinical Name Entity Recognition Based on Hybrid Deep Learning Scheme. 1049-1055
• 
  • 
  • 
  • 
  • 
    Kunal Rajput, Girija Chetty, Rachel Davey:
    Risk Factors Identification for Heart Disease in Unstructured Dataset using Deep Learning Approach. 1056-1059
• 
  • 
  • 
  • 
  • 
    Masahiro Sato, Shin Kawai, Hajime Nobuhara:
    Action-Triggering Recommenders: Uplift Optimization and Persuasive Explanation. 1060-1069
• 
  • 
  • 
  • 
  • 
    Donghuo Zeng, Keizo Oyama:
    Learning Joint Embedding for Cross-Modal Retrieval. 1070-1071
• 
  • 
  • 
  • 
  • 
    Wenbin Zhang, Xuejiao Tang, Jianwu Wang:
    On Fairness-Aware Learning for Non-discriminative Decision-Making. 1072-1079
• 
  • 
  • 
  • 
  • 
    Bo Zhao, Atsuhiro Takasu, Ramin Yahyapour, Xiaoming Fu:
    Loyal Consumers or One-Time Deal Hunters: Repeat Buyer Prediction for E-Commerce. 1080-1087
• 
  • 
  • 
  • 
  • 
    Carl Yang, Jiawei Han:
    cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. 1088-1089

Demo Session

• 
  • 
  • 
  • 
  • 
    Bei Chen, Rahul Nair, Inge Vejsbjerg:
    RSM: An Explainable Predictive Sales Route Selector. 1090-1093
• 
  • 
  • 
  • 
  • 
    Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi:
    Automated Feature Enhancement for Predictive Modeling using External Knowledge. 1094-1097
• 
  • 
  • 
  • 
  • 
    Leyu Liu, Xin Huang, Jianliang Xu, Yunya Song:
    Oasis: Online Analytic System for Incivility Detection and Sentiment Classification. 1098-1101
• 
  • 
  • 
  • 
  • 
    Chong Long, Xiaotong Zhang, Yafang Wang, Xiaolu Lu, Feiwu Han, Jiaxing Zhang, Xiaolong Li:
    SNSaPP: Unbiased Social Media Analysis Against Paid Posters. 1102-1105
• 
  • 
  • 
  • 
  • 
    Guangcan Mai, Renjie Gou, Liya Ji, Hua Wu, Fei Cao, Qifeng Chen, Jun Luo:
    LeapDetect: An Agile Platform for Inspecting Power Transmission Lines from Drones. 1106-1109
• 
  • 
  • 
  • 
  • 
    Tuan Nguyen, Nicolas Méger, Christophe Rigotti, Catherine Pothier, Noel Gourmelen, Emmanuel Trouvé:
    A Pattern-Based Mining System for Exploring Displacement Field Time Series. 1110-1113
• 
  • 
  • 
  • 
  • 
    Giulia Preti, Polina Rozenshtein, Aristides Gionis, Yannis Velegrakis:
    ExCoDE: a Tool for Discovering and Visualizing Regions of Correlation in Dynamic Networks. 1114-1117
• 
  • 
  • 
  • 
  • 
    Tianxing Tian, Shi Chen, Yaobo Wu, Fan Zhang, Yinan Jing, Zhengying He, X. Sean Wang, Wei Wang, Peng Zhang:
    An Automatic Illustration Recommendation System. 1118-1121
• 
  • 
  • 
  • 
  • 
    Jiasheng Zhang, Thai Le, Yiming Liao, Dongwon Lee:
    PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond. 1122-1125
• 
  • 
  • 
  • 
  • 
    Yo Ehara:
    Analyzing Similarities between Word Frequency Distributions of Various Corpora to Find Effective Features for Complex Word Identification. 1-4
• 
  • 
  • 
  • 
  • 
    Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li:
    An Augmented Transformer Architecture for Natural Language Generation Tasks. 1-7
• 
  • 
  • 
  • 
  • 
    Sanket Shah, Sunayana Sitaram:
    Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech. 1-5
• 
  • 
  • 
  • 
  • 
    Nikita Remnev:
    Native Language Identification for Russian. 1-7
• 
  • 
  • 
  • 
  • 
    Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang:
    Computational Analysis of French Reborrowing Process for English Loanwords. 1-4
• 
  • 
  • 
  • 
  • 
    Rohith Gowtham Kodali, Durga Prasad Manukonda, Rajaraman Sundararajan:
    Bilingual Speech Recognition based on Deep Neural Networks and Directed Acyclic Word Graphs. 1-6

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