Table of Contents

• Message from the ICDM 2020 General ChairsAlfredo Cuzzocrea, Carlo Zaniolo. [doi]
• Sentiment is an Attitude not a FeelingNasser Alsadhan, David B. Skillicorn. 1-6 [doi]
• One Belt, One Road, One Sentiment? A Hybrid Approach to Gauging Public Opinions on the New Silk Road InitiativeJonathan Kevin Chandra, Erik Cambria, Andrea Nanetti. 7-14 [doi]
• COAL: Convolutional Online Adaptation Learning for Opinion MiningIti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria. 15-22 [doi]
• Helping users discover perspectives: Enhancing opinion mining with joint topic modelsTim Draws, Jody Liu, Nava Tintarev. 23-30 [doi]
• The IEEE ICDM 2020 WorkshopsGiuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea. 26-29 [doi]
• MEET: A Method for Embeddings Evaluation for Taxonomic DataLorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani. 31-38 [doi]
• Textual Lyrics Based Emotion Analysis of Bengali SongsDevjyoti Nath, Anirban Roy, Sumitra Kumari Shaw, Amlan Ghorai, Shanta Phani. 39-44 [doi]
• Understanding the Personality of Contributors to Information Cascades in Social Media in Response to the COVID-19 PandemicDiana Nurbakova, Liana Ermakova, Irina Ovchinnikova. 45-52 [doi]
• Application of NLP to determine the State of Issues in Bug Tracking SystemsMatthias Pohl, Ali Hashaam, Sascha Bosse, Daniel Gunnar Staegemann, Matthias Volk 0002, Frederik Kramer, Klaus Turowski. 53-61 [doi]
• WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based ApproachMarco Siino, Marco La Cascia, Ilenia Tinnirello. 62-70 [doi]
• Integration of Fuzzy and Deep Learning in Three-Way DecisionsL. D. C. S. Subhashini, Yuefeng Li, Jinglan Zhang, Ajantha S. Atukorale. 71-78 [doi]
• CAMTA: Causal Attention Model for Multi-touch AttributionSachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff. 79-86 [doi]
• Deal Closure Prediction based on User's Browsing Behaviour of Sales ContentDiana Nurbakova, Timothée Saumet. 87-92 [doi]
• An Experimental Evaluation of Data Classification Models for Credibility Based Fake News DetectionAmit Neil Ramkissoon, Shareeda Mohammed. 93-100 [doi]
• Synthetic Data by Principal Component AnalysisNatsuki Sano. 101-105 [doi]
• Gaussian Process Bandits for Online Influence MaximizationWenwen Xia, Fangqi Li, Shenghong Li 0001. 106-113 [doi]
• How Shoppers Walk and Shop in a SupermarketKatsutoshi Yada, Ken Ishibashi, Taku Ohashi, Danhua Wang, Shusaku Tsumoto. 114-118 [doi]
• A Hierarchical Knowledge and Interest Propagation Network for Recommender SystemsQinghong Chen, Huobin Tan, Guangyan Lin, Ze Wang. 119-126 [doi]
• Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-CommerceYuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin. 127-135 [doi]
• HybridGNN-SR: Combining Unsupervised and Supervised Graph Learning for Session-based RecommendationKai Deng, Jiajin Huang, Jin Qin. 136-143 [doi]
• Revenue Maximization using Multitask Learning for Promotion RecommendationVenkataramana Kini, Ashwin Manjunatha. 144-150 [doi]
• Attentive-Feature Transfer based on Mapping for Cross-domain RecommendationZhen Liu, Jingyu Tian, Lingxi Zhao, Yanling Zhang. 151-158 [doi]
• A Recommender Algorithm: Gradient Recurrent Neural Network Applied to Yang-Baxter-Like EquationYing Liufu, Long Jin, Mei Liu, Shuai Li. 159-165 [doi]
• Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative FilteringZheda Mai, Ga Wu, Kai Luo, Scott Sanner. 165-172 [doi]
• GCMCSR: A New Graph Convolution Matrix Complete Method with Side-Information ReconstructionKun Niu, Yicong Yu, Xipeng Cao, Chao Wang. 173-180 [doi]
• $\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender SystemsTomas Sousa Pereira, Tiago Cunha 0001, Carlos Soares. 181-188 [doi]
• MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for MarketplacesMarlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo, Bruno Brandão, Anderson Soares, Renan M. Oliveira, Sandor Caetano. 189-197 [doi]
• Enhancing Multi-factor Friend Recommendation in Location-based Social NetworksBassem Samir, Neamat El-Tazi. 198-205 [doi]
• Efficient Distributed MST Based Clustering for Recommender SystemsAhmad Shahzad, Frans Coenen. 206-210 [doi]
• Interactive Knowledge Graph Attention Network for Recommender SystemsLi Yang, E. Shijia, Shiyao Xu, Yang Xiang. 211-219 [doi]
• Cross-Session Aware Temporal Convolutional Network for Session-based RecommendationRui Ye, Qing Zhang, Hengliang Luo. 220-226 [doi]
• Hybrid Learning with Teacher-student Knowledge Distillation for RecommendersHangbin Zhang, Raymond K. Wong, Victor W. Chu. 227-235 [doi]
• DGTN: Dual-channel Graph Transition Network for Session-based RecommendationYujia Zheng, Siyi Liu, Zekun Li, Shu Wu. 236-242 [doi]
• An Examination of the State-of-the-Art for Multivariate Time Series ClassificationBhaskar Dhariyal, Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim. 243-250 [doi]
• Boosting Algorithms for Delivery Time Prediction in Transportation LogisticsJihed Khiari, Cristina Olaverri-Monreal. 251-258 [doi]
• Uncertain Time Series Classification with Shapelet TransformMichael Franklin Mbouopda, Engelbert Mephu Nguifo. 259-266 [doi]
• Temporally-Reweighted Dirichlet Process Mixture Anomaly DetectorJunYong Tong, Nick Torenvliet. 267-274 [doi]
• An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault DiagnosisJop van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller. 275-283 [doi]
• Accelerated SGD for Tensor Decomposition of Sparse Count DataHuan He, Yuanzhe Xi, Joyce C. Ho. 284-291 [doi]
• Individualized Context-Aware Tensor Factorization for Online Games PredictionsJulie Jiang, Kristina Lerman, Emilio Ferrara. 292-299 [doi]
• Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace ClusteringDaniyal Kazempour, Peer Kröger, Thomas Seidl 0001. 300-307 [doi]
• You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clustersDaniyal Kazempour, Long Mathias Yan, Peer Kröger, Thomas Seidl 0001. 308-315 [doi]
• I fold you so! An internal evaluation measure for arbitrary oriented subspace clusteringDaniyal Kazempour, Anna Beer, Peer Kröger, Thomas Seidl 0001. 316-323 [doi]
• Efficient Distance-based Global Sensitivity Analysis for Terrestrial Ecosystem ModelingDan Lu 0001, Daniel M. Ricciuto. 324-332 [doi]
• Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock TradingJacopo Fior, Luca Cagliero. 333-340 [doi]
• Stock Price Prediction by Using Hybrid Sequential Generative Adversarial NetworksBate He, Eisuke Kita. 341-347 [doi]
• Analysis of multivariate time series predictability based on their featuresAnton Kovantsev, Peter Gladilin. 348-355 [doi]
• AttentionFM: Incorporating Attention Mechanism and Factorization Machine for Credit ScoringYing Liu, Wei Wang, Tianlin Zhang, Zhenyu Cui. 356-361 [doi]
• A federated learning based approach for loan defaults predictionGeet Shingi. 362-368 [doi]
• A Short-Term Cryptocurrency Price Movement Prediction Using Centrality MeasuresKin-Hon Ho, Wai-Han Chiu, Chin Li. 369-376 [doi]
• Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings ForecastAjim Uddin, Xinyuan Tao, Chia-Ching Chou, Dantong Yu. 377-384 [doi]
• Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of ChangeYiqi Zhao, Matloob Khushi. 385-391 [doi]
• An unsupervised methodology for online drift detection in multivariate industrial datasetsSarah Klein, Mathias Verbeke. 392-399 [doi]
• Learning Student Interest Trajectory for MOOC Thread RecommendationShalini Pandey, Andrew Lan, George Karypis, Jaideep Srivastava. 400-407 [doi]
• TEDD: Robust Detection of Unstable Temporal FeaturesRicardo Pereira, Bruno Casal Laraña, Nádia Soares, Miguel Araújo. 408-415 [doi]
• Restructuring of Hoeffding Trees for Trapezoidal Data StreamsChristian Schreckenberger, Tim Glockner, Heiner Stuckenschmidt, Christian Bartelt. 416-423 [doi]
• MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data StreamChang How Tan, Vincent C. S. Lee, Mahsa Salehi. 424-431 [doi]
• LbR: A New Regression Architecture for Automated Feature EngineeringMeng Wang, Zhijun Ding, Meiqin Pan. 432-439 [doi]
• Pelican: Continual Adaptation for Phishing DetectionWernsen Wong, Gillian Dobbie. 440-447 [doi]
• Interpreting Deep Neural Networks through Prototype FactorizationSubhajit Das, Panpan Xu, Zeng Dai, Alex Endert, Liu Ren. 448-457 [doi]
• FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraintsSouradip Chakraborty, Ekansh Verma, Saswata Sahoo, Jyotishka Datta. 458-463 [doi]
• Deep Fuzzy Clustering with Weighted Intra-class Variance and Extended Mutual Information RegularizationYunsheng Pang, Feiyu Chen, Sheng Huang, Yongxin Ge, Wei Wang, Taiping Zhang. 464-471 [doi]
• A Deep Neural Network Approach to Tracing Paths in Cybersecurity InvestigationsClinton Daniel, Thomas Gill, Alan R. Hevner, Matthew Mullarkey. 472-479 [doi]
• Deep Contextualized Word Embedding for Text-based Online User Profiling to Detect Social Bots on TwitterMaryam Heidari, James H. Jones, Özlem Uzuner. 480-487 [doi]
• Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution ApproachFang-Yu Lin, Yizhi Liu, MohammadReza Ebrahimi, Zara Ahmad-Post, James Lee Hu, Jingyu Xin, Sagar Samtani, Weifeng Li 0002, Hsinchun Chen. 488-495 [doi]
• Using Deep Generative Models to Boost Forecasting: A Phishing Prediction Case StudySyed Hasan Amin Mahmood, Ahmed Abbasi. 496-505 [doi]
• Getting Passive Aggressive About False Positives: Patching Deployed Malware DetectorsEdward Raff, Bobby Filar, James Holt. 506-515 [doi]
• A Literature Review on Mining Cyberthreat Intelligence from Unstructured TextsMd. Rayhanur Rahman, Rezvan Mahdavi-Hezaveh, Laurie A. Williams. 516-525 [doi]
• Learning Latent Correlation of Heterogeneous Sensors Using Attention based Temporal Convolutional NetworkXin Wang, Yunji Liang, Zhiwen Yu 0001, Bin Guo. 526-534 [doi]
• CrowdDepict: Know What and How to Generate Personalized and Logical Product Description using Crowd intelligenceQiuyun Zhang, Bin Guo, Sicong Liu, Zhiwen Yu 0001. 535-542 [doi]
• Anomaly Detection of Periodic Multivariate Time Series under High Acquisition Frequency Scene in IoTShuo Zhang, Xiaofei Chen, Jiayuan Chen, Qiao Jiang, Hejiao Huang. 543-552 [doi]
• A Two-Stream Network For Driving Hand Gesture RecognitionYefan Zhou, Zhao Lv, Chaoqun Wang, Shengli Zhang. 553-560 [doi]
• Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalkJia Chen, Evangelos E. Papalexakis. 561-563 [doi]
• Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view DataHaonan Huang, Naiyao Liang, Wei Yan, Zuyuan Yang, Zhenni Li, Weijun Sun. 564-570 [doi]
• SynC: A Copula based Framework for Generating Synthetic Data from Aggregated SourcesZheng Li, Yue Zhao, Jialin Fu. 571-578 [doi]
• Deep Cooperative Reconstruction with Security Constraints in multi-view environmentsDenis Maurel, Sylvain Lefebvre 0002, Jérémie Sublime. 579-588 [doi]
• Mining Heterogeneous Data for Formulation DesignKrati Saxena, Ashwini Patil, Sagar Sunkle, Vinay Kulkarni. 589-596 [doi]
• Mining Heterogeneous Associations from Pediatric Cancer Data by Relational Concept AnalysisMickael Wajnberg, Petko Valtchev, Alexandre Blondin Massé, Abderrahim Benmoussa, Maja Krajinovic, Caroline Laverdière, Emile Levy, Daniel Sinnett, Valérie Marcil. 597-604 [doi]
• Towards a Flexible Embedding Learning FrameworkChin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang. 605-612 [doi]
• Classification of Dementia Associated Disorders Using EEG based Frequent Subgraph TechniqueAbdulyekeen T. Adebisi, Venkateswarlu Gonuguntla, Ho Won Lee, Kalyana C. Veluvolu. 613-620 [doi]
• Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey QuestionsDijana Kosmajac, Kirstie Smith, Vlado Keselj, Susan Kirkland. 621-628 [doi]
• Super Learning with Repeated Cross ValidationKrzysztof Mnich, Aneta Polewko-Klim, Agnieszka Kitlas Golinska, Wojciech Lesinski, Witold R. Rudnicki. 629-635 [doi]
• Persistent Homology on Streaming DataAnindya Moitra, Nicholas O. Malott, Philip A. Wilsey. 636-643 [doi]
• Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health RecordsFrank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert, Maurice van Keulen. 644-650 [doi]
• How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score AssessmentYun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold. 651-660 [doi]
• Insights From Urban Sensing Data: From Chaos to Predicted Congestion PatternsMinh-Son Dao, Ngoc Thanh Nguyen, R. Uday Kiran, Koji Zettsu. 661-668 [doi]
• A Tree-based Fuzzy Average-Utility Mining AlgorithmTzung-Pei Hong, Meng-Ping Ku, Wei-Ming Huang, Shu-Min Li, Jerry Chun-Wei Lin. 669-672 [doi]
• TKC: Mining Top-K Cross-Level High Utility ItemsetsMourad Nouioua, Ying Wang, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu. 673-682 [doi]
• Sample-Rank: Weak Multi-Objective Recommendations Using Rejection SamplingAbhay Shukla, Jairaj Sathyanarayana, Dipyaman Banerjee. 683-689 [doi]
• Efficient Mining of Non-Dominated High Quantity-Utility PatternsJimmy Ming-Tai Wu, Qian Teng, Gautam Srivastava, Matin Pirouz, Jerry Chun-Wei Lin. 690-695 [doi]
• Scalable Distributed Pivot Analysis over Massive Big Data: Models, Paradigms, New AdvancementsAlfredo Cuzzocrea. 696-700 [doi]
• Precipitation Nowcasting Using Grid-based Data in South Korea RegionChangHwan Kim, Se-Young Yun. 701-706 [doi]
• User Authentication Method using FIDO based Password Management for Smart Energy EnvironmentHyunjin Kim, Dongseop Lee, Jaecheol Ryou 0001. 707-710 [doi]
• Electric Energy Demand Forecasting with Explainable Time-series ModelingJin Young Kim, Sung-Bae Cho. 711-716 [doi]
• An Accelerated Continual Learning with Demand Prediction based Scheduling in Edge-Cloud ComputingChangha Lee, Seong-Hwan Kim, Chan-Hyun Youn. 717-722 [doi]
• StreamDL: Deep Learning Serving Platform for AMI Stream ForecastingEunju Yang, Changha Lee, Ji-Hwan Kim, Tuan Manh Tao, Chan-Hyun Youn. 723-728 [doi]
• SIPA: A Simple Framework for Efficient NetworksGihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun. 729-736 [doi]
• Data analysis and processing for spatio-temporal forecastingHyoungwoo Lee, Jaegul Choo. 737-739 [doi]
• DQN-based Join Order Optimization by Learning Experiences of Running Queries on Spark SQLKyeong min Lee, InA Kim, Kyu-Chul Lee. 740-742 [doi]
• Anomaly Detection and Visualization for Electricity Consumption DataNyoungwoo Lee, Jehyun Nam, Ho-Jin Choi. 743-749 [doi]
• Design of Neural Network-based Boost Charging for Reducing the Charging Time of Li-ion BatterySue Hyang Lim, Seon Hyeog Kim, Hyeong Min Lee, Si Joong Kim, Yong-June Shin. 750-756 [doi]
• Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet NetworkHyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho. 757-761 [doi]
• Explainable Anomaly Detection for District Heating Based on Shapley Additive ExplanationsSungwoo Park, Jihoon Moon, Eenjun Hwang. 762-765 [doi]
• Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining AgreementsElliott Ash, Jeff Jacobs, Bentley MacLeod, Suresh Naidu, Dominik Stammbach. 766-774 [doi]
• Tasks performed in the legal domain through Deep Learning: A bibliometric review (1987-2020)Alfredo Montelongo, João Luiz Becker. 775-781 [doi]
• Immigration Document Classification and Automated Response GenerationSourav Mukherjee, Tim Oates, Vince DiMascio, Huguens Jean, Rob Ares, David Widmark, Jaclyn Harder. 782-789 [doi]
• Building knowledge graphs of homicide investigation chronologiesRitika Pandey, P. Jeffrey Brantingham, Craig D. Uchida, George O. Mohler. 790-798 [doi]
• Using Unlabeled Data for US Supreme Court Case ClassificationGeorge Sanchez. 799-804 [doi]
• Virtual Sensing of Temperatures in Indoor Environments: A Case StudyAndrea Brunello, Martin Kraft, Angelo Montanari, Federico Pittino, Andrea Urgolo. 805-810 [doi]
• Predictive Nonlinear Modeling by Koopman Mode DecompositionAkira Kusaba, Kilho Shin, Dave Shepard 0001, Tetsuji Kuboyama. 811-819 [doi]
• Detecting Dynamic Critical Links within Large Scale Network for Traffic State PredictionPierre-Antoine Laharotte, Romain Billot, Nour-Eddin El Faouzi. 820-827 [doi]
• Deep Learning-based Critical Infrastructure Simulation Model for Disaster MonitoringParashuram Shourya Rajulapati, Nivedita Nukavarapu, Surya Durbha. 828-835 [doi]
• Rebuilding Trust in Active Learning with Actionable MetricsAlexandre Abraham, Leo Dreyfus-Schmidt. 836-843 [doi]
• Incremental Rebalancing Learning on Evolving Data StreamsAlessio Bernardo, Emanuele Della Valle, Albert Bifet. 844-850 [doi]
• Kennard-Stone Balance Algorithm for Time-series Big Data Stream MiningTengyue Li, Simon Fong, Yaoyang Wu, Antonio J. Tallón-Ballesteros. 851-858 [doi]
• Batch Mode Active Learning for Individual Treatment Effect EstimationZoltán Puha, Maurits Kaptein, Aurélie Lemmens. 859-866 [doi]
• Multi-class imbalanced semi-supervised learning from streams through online ensemblesParsa Vafaie, Herna Viktor, Wojtek Michalowski. 867-874 [doi]
• An Accuracy-and-Diversity-based Ensemble Method for Concept Drift and Its application in Fraud DetectionShujie Yin, GuanJun Liu, Zhenchuan Li, ChunGang Yan, Changjun Jiang. 875-882 [doi]
• Fast Incremental Naïve Bayes with Kalman FilteringGiacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet. 883-889 [doi]
• Blockchain Applications to combat the global trade of falsified drugsYulia Kostyuchenko, Qingshan Jiang. 890-894 [doi]
• TrustedChain: A Blockchain-based Data Sharing Scheme for Supply ChainGejun Le, Qifeng Gu, Qingshan Jiang, Weiyi Lin. 895-901 [doi]
• Cache-based Optimization for Block Commit of Hyperledger FabricQinqi Xu, Yimin Lin, Qingshan Jiang, Mengqiu Zhang. 902-906 [doi]
• Data Management System based on Blockchain Technology for Agricultural Supply ChainChenxue Yang, Zhiguo Sun. 907-911 [doi]
• G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo LabellingSouradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul. 912-916 [doi]
• Multi-Task Time Series Forecasting With Shared AttentionZekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng. 917-925 [doi]
• Improving object detection in paintings based on time contextsMaria-Cristina Marinescu, Artem Reshetnikov, Joaquim Moré López. 926-932 [doi]
• NoPeek: Information leakage reduction to share activations in distributed deep learningPraneeth Vepakomma, Abhishek Singh 0005, Otkrist Gupta, Ramesh Raskar. 933-942 [doi]