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ORCID18th ICDM 2018: Singapore - Workshops
- Hanghang Tong, Zhenhui Jessie Li, Feida Zhu, Jeffrey Yu:
2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018. IEEE 2018, ISBN 978-1-5386-9288-2
ADMiS 2018: First IEEE International Workshop on Adapting Data Mining for Security
- Simon Duque Antón
, Lia Ahrens, Daniel Fraunholz, Hans Dieter Schotten:
Time is of the Essence: Machine Learning-Based Intrusion Detection in Industrial Time Series Data. 1-6 - Gal Egozi, Rakesh M. Verma:
Phishing Email Detection Using Robust NLP Techniques. 7-12 - Houtan Faridi, Srivathsan Srinivasagopalan, Rakesh M. Verma:
Performance Evaluation of Features and Clustering Algorithms for Malware. 13-22 - Pegah Hozhabrierdi, Dunai Fuentes Hitos, Chilukuri K. Mohan:
Python Source Code De-anonymization Using Nested Bigrams. 23-28 - Michael Khavkin, Mark Last:
Preserving Differential Privacy and Utility of Non-stationary Data Streams. 29-34 - Gaku Kotani, Yuji Sekiya:
Unsupervised Scanning Behavior Detection Based on Distribution of Network Traffic Features Using Robust Autoencoders. 35-38 - Liu Liu, Olivier Y. de Vel, Chao Chen, Jun Zhang, Yang Xiang:
Anomaly-Based Insider Threat Detection Using Deep Autoencoders. 39-48 - Jialing Tao, Hui Wang, Tao Xiong:
Selective Graph Attention Networks for Account Takeover Detection. 49-54
BlockSEA 2018: 1st Workshop on Blockchain and Sharing Economy Applications
- Marc Jourdan, Sebastien Blandin, Laura Wynter, Pralhad Deshpande:
Characterizing Entities in the Bitcoin Blockchain. 55-62 - Martin Harrigan, Lei Shi, Jacob Illum:
Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis. 63-70 - D. S. V. Madala, Mahabir Prasad Jhanwar, Anupam Chattopadhyay:
Certificate Transparency Using Blockchain. 71-80 - Yuan Lu, Qiang Tang, Guiling Wang:
On Enabling Machine Learning Tasks atop Public Blockchains: A Crowdsourcing Approach. 81-88 - Bingsheng Zhang, Hamed Balogun:
On the Sustainability of Blockchain Funding. 89-96 - Friedhelm Victor, Sebastian Zickau:
Geofences on the Blockchain: Enabling Decentralized Location-Based Services. 97-104 - Lukasz Dykcik, Laurent Chuat, Pawel Szalachowski, Adrian Perrig:
BlockPKI: An Automated, Resilient, and Transparent Public-Key Infrastructure. 105-114
BSDM 2018: Blockchain Systems for Decentralized Mining
- Hojae Son, Anand Paul, Gwanggil Jeon:
Country Interest Analysis Based on Long-Term Short-Term Memory(LSTM) In Decentralized System. 115-119 - Tsuyoshi Idé:
Collaborative Anomaly Detection on Blockchain from Noisy Sensor Data. 120-127 - Qinghua Lu, Xiwei Xu, Yue Liu, Weishan Zhang:
Design Pattern as a Service for Blockchain Applications. 128-135 - Sandeep Pirbhulal, Wanqing Wu, Guanglin Li:
A Biometric Security Model for Wearable Healthcare. 136-143 - Faima Abbasi, Muhammad Muzammal, Qiang Qu:
A Decentralized Approach for Negative Link Prediction in Large Graphs. 144-150 - Kentaroh Toyoda, Tomoaki Ohtsuki, P. Takis Mathiopoulos:
Time Series Analysis for Bitcoin Transactions: The Case of Pirate@40's HYIP Scheme. 151-155 - Sandi Rahmadika, Bruno Joachim Kweka, Cho Nwe Zin Latt, Kyung-Hyune Rhee:
A Preliminary Approach of Blockchain Technology in Supply Chain System. 156-160 - Yue Yu, Ran Liang, Jiqiu Xu:
A Scalable and Extensible Blockchain Architecture. 161-163 - Dong Cheng, Suihe Chen, Yinjian Yang:
A Cooperative Architecture for Blockchain Federated Mediators from Industry Perspective. 164-167 - Chih-Hung Wu, Chih-Chiang Lu, Yu-Feng Ma, Ruei-Shan Lu:
A New Forecasting Framework for Bitcoin Price with LSTM. 168-175
CDEC: 1st International Workshop on Cross-disciplinary Data Exchange and Collaboration
- Daiji Iwasa:
Preliminary Case Study on Data Utilization and Collaboration on the Web. 176-179 - Yusuke Ejiri, Eiji Ikeda, Hiromichi Sasaki:
Realization of Data Exchange and Utilization Society by Blockchain and Data Jacket: Merit of Consortium to Accelerate Co-Creation. 180-182 - Haiqian Gu, Jie Wang, Ziwen Wang, Bojin Zhuang, Wenhao Bian, Fei Su:
Cross-Platform Modeling of Users' Behavior on Social Media. 183-190 - Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato:
Selection of Related Stocks using Financial Text Mining. 191-198 - Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo:
Quantification and Analysis of Scientific Language Variation Across Research Fields. 199-203 - Akinori Abe, Yuki Hayashi:
How to Determine the Necessary Knowledge in the Conflicting Situation? 204-209 - Masafumi Ifuku, Noriyuki Kushiro, Yusuke Aoyama:
Requirements Definition with Extended Goal Graph. 210-218
DaMNet 2018: The Eighth IEEE ICDM Workshop on Data Mining in Networks
- Martin Atzmueller, Henry Soldano, Guillaume Santini, Dominique Bouthinon:
MinerLSD: Efficient Local Pattern Mining on Attributed Graphs. 219-228 - Christopher Ryther, Jakob Grue Simonsen:
Within-Network Classification in Temporal Graphs. 229-236 - Samya Muhuri, Ananya Sarkar, Sambhabi Chakraborty, Susanta Chakraborty:
Drug Vector Minimization in Cancer Therapy Based on Boolean Logic Model of Gene Regulatory Network. 237-243 - Silivanxay Phetsouvanh, Frédérique E. Oggier, Anwitaman Datta:
EGRET: Extortion Graph Exploration Techniques in the Bitcoin Network. 244-251 - Danfeng Zhao, Yeyi Zhang, Junchen Lin, Wei Song, Antonio Liotta, Dongmei Huang:
Query of Marine Big Data Based on Graph Compression and Views. 252-257 - Igor Colin, Albert Thomas, Moez Draief:
Parallel Contextual Bandits in Wireless Handover Optimization. 258-265 - Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang:
A Network-Based Approach to Enhance Electricity Load Forecasting. 266-275 - Armita Abedijaberi, Jennifer L. Leopold:
Motif-Level Robustness Analysis of Power Grids. 276-283 - Wentan Li:
Finding Tenuous Groups in Social Networks. 284-291
Deep Learning and Tensor/Matrix Decomposition for Applications in Neuroscience
- Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov, Evgeny Burnaev, Igor Pronin, David Pitskhelauri, Alexander Bernstein:
Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. 292-298 - Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev:
Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. 299-307 - Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev:
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. 308-314 - Maame G. Asante-Mensah, Andrzej Cichocki:
Medical Image De-noising Using Deep Networks. 315-319
DEEP 2018: Workshop on Data Mining for eLearning Personalization
- Yuwei Tu, Ying Xiong, Weiyu Chen, Christopher G. Brinton:
A Domain-Independent Text Segmentation Method for Educational Course Content. 320-327 - Akshay Gugnani, Vinay Kumar Reddy Kasireddy, Karthikeyan Ponnalagu:
Generating Unified Candidate Skill Graph for Career Path Recommendation. 328-333 - Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo:
End-to-End Deep Knowledge Tracing by Learning Binary Question-Embedding. 334-342 - Moin Nadeem, Dustin Stansbury, Shane Mooney:
Neural Educational Recommendation Engine (NERE). 343-348 - Mikhail Akimov, Ekaterina Loginova, Maxim Musin:
A Graph-Based Approach for Learner-Tailored Teaching of Korean Grammar Constructions. 349-354 - Sneha Mondal, Akshay Gugnani, Renuka Sindhgatta, Vinay Kumar Reddy Kasireddy:
Khan Academy: A Social Networking and Community Question Answering Perspective. 355-359 - Lin Ling, Chee-Wei Tan:
Human-Assisted Computation for Auto-Grading. 360-364 - Ruangsak Trakunphutthirak, Yen Cheung, Vincent Cheng-Siong Lee:
Detecting Student at Risk of Failure: A Case Study of Conceptualizing Mining from Internet Access Log Files. 365-371
DELL: The First International Workshop on Developmental Learning
- Weimin Chen, Xianglong Liu:
Weighted Quantization and Hamming Search for Fast Image Super-Resolution. 372-378 - Ziheng Gao, Naiyang Guan, Longfei Su:
Graph Regularized Symmetric Non-Negative Matrix Factorization for Graph Clustering. 379-384 - Meng Lan, Yipeng Zhang, Lefei Zhang, Bo Du:
Defect Detection from UAV Images Based on Region-Based CNNs. 385-390 - Zhuoqi Ma, Nannan Wang, Yi Hao, Jie Li, Xinbo Gao:
Learning via Social Preference: A Coarse-to-Fine Training Strategy for Style Transfer Systems. 391-398 - Jianghao Shen, Sicheng Wang, Zhangyang Wang:
Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity. 399-402 - Florian Westphal, Håkan Grahn, Niklas Lavesson:
User Feedback and Uncertainty in User Guided Binarization. 403-410 - Tao Zhang, Chen Gong, Wenjing Jia, Xiaoning Song, Jun Sun, Xiaojun Wu:
Supervised Image Classification with Self-Paced Regularization. 411-414
DGCC 2018: International Workshop on Data-driven Granular Cognitive Computing
- Chenxu Gong, Guoyin Wang, Jun Hu, Ming Liu, Li Liu, Zihe Yang:
Finding Multi-granularity Community Structures in Social Networks Based on Significance of Community Partition. 415-421 - Andrzej Janusz, Lukasz Grad, Dominik Slezak:
Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. 422-429 - Fulan Qian, Cunliang Zhu, Xi Chen, Jie Chen, Shu Zhao, Yanping Zhang:
A Novel Approach for Influence Maximization Based on Clonal Selection Theory in Social Networks. 430-437 - Shiya Ren, Zhixing Li, Huaming Wang, Yuan Li, Ke Shen, Sijie Cheng:
NEARM: Natural Language Enhanced Association Rules Mining. 438-445 - Hiroshi Sakai, Michinori Nakata, Junzo Watada:
A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets. 446-453 - Hang Shu, Qun Liu, Shuyin Xia:
Multi-granularity Network Representation Learning Based on Game Theory. 454-461 - Maciej Swiechowski, Dominik Slezak:
Granular Games in Real-Time Environment. 462-469 - Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Construction of Clinical Pathway Generation from Nursing Records and Discharge Summaries. 470-477 - Guoyin Wang:
DGCC: A Case for Integration of Brain Cognition and Intelligence Computation. 478-479 - Zhen Wang, Ling Wei, Jian-Jun Qi:
Concept Analysis Based on Granular Formal Contexts. 480-486 - Hong Yu, Zuoyu Sun, Guoyin Wang, Jie Li, Yongfang Xie, Gang Guo:
A Multi-granular Hierarchical Evaluation Model for Multiple Criteria Three Sorting. 487-494
DINA 2018: 4th Workshop on Data Integration and Applications
- Tyler Folkman, Rey Furner, Drew Pearson:
GenERes: A Genealogical Entity Resolution System. 495-501 - Kayla Frisoli, Rebecca Nugent:
Exploring the Effect of Household Structure in Historical Record Linkage of Early 1900s Ireland Census Records. 502-509 - Xiao Hui Tai:
Record Linkage and Matching Problems in Forensics. 510-517 - Rainer Schnell, Christian Borgs:
Hardening Encrypted Patient Names Against Cryptographic Attacks Using Cellular Automata. 518-522 - Debora Gomes dos Reis, Marcelo Ladeira, Maristela Holanda, Márcio de Carvalho Victorino:
Large Database Schema Matching using Data Mining Techniques. 523-530 - Markus Nentwig, Erhard Rahm:
Incremental Clustering on Linked Data. 531-538
DIT 2018: 1st Workshop on Data-driven Intelligent Transportation
- Salar Rahili, Benjamin Rivière, Suzanne Olivier, Soon-Jo Chung:
Optimal Routing for Autonomous Taxis using Distributed Reinforcement Learning. 556-563 - Mustafa Coskun, Abdelkader Baggag, Sanjay Chawla:
Deep Reinforcement Learning for Traffic Light Optimization. 564-571 - The Anh Dang, Jodi Chiam, Ying Li:
A Comparative Study of Urban Mobility Patterns Using Large-Scale Spatio-Temporal Data. 572-579 - Carla Silva, Pedro M. d'Orey, Ana Aguiar:
Interpreting Traffic Congestion Using Fundamental Diagrams and Probabilistic Graphical Modeling. 580-587 - Aude Marzuoli, Philippe Monmousseau, Eric Feron:
Passenger-Centric Metrics for Air Transportation Leveraging Mobile Phone and Twitter Data. 588-595 - Munshi Yusuf Alam, Shahrukh Imam, Harshit Anurag, Sujoy Saha, Subrata Nandi, Mousumi Saha:
LiSense: Monitoring City Street Lighting During Night using Smartphone Sensors. 596-603 - Oleksandr Shchur, Aleksandar Bojchevski, Mohamed Farghal, Stephan Günnemann, Yusuf Saber:
Anomaly Detection in Car-Booking Graphs. 604-607 - Kangjia Zhao, Wenqing Chen, Kong-wei Lye:
Online Vehicle Dispatch: from Assignment to Scheduling. 608-611 - Kotaro Kataoka, Saurabh Gangwar, Karthik Yadav Mudda, Souraj Mandal:
A Smartphone-Based Probe Data Platform for Road Management and Safety in Developing Countries. 612-615 - Paul Tsao, Tsi-Ui Ik, Guan-Wen Chen, Wen-Chih Peng:
Stitching Aerial Images for Vehicle Positioning and Tracking. 616-623 - Gary Goh, Jing Yu Koh, Yue Zhang:
Twitter-Informed Crowd Flow Prediction. 624-631 - Emin Aksehirli, Ying Li:
Predicting MRT Trips in Singapore by Creating a Mobility Behavior Model Based on GSM Data. 632-639 - Baoyang Song, Hasan Poonawala, Laura Wynter, Sebastien Blandin:
Robust Commuter Movement Inference from Connected Mobile Devices. 640-647 - Abhinav Sunderrajan, Jagannadan Varadarajan, Kong Wei Lye:
Road Speed Profiling for Upfront Travel Time Estimation. 648-654 - Yazhe Wang, Chih-Chieh Hung, Baihua Zheng, Ee-Peng Lim:
TripDecoder: Inferring Routes of Passengers of Mass Rapid Transit Systems by Smart Card Transaction Data. 655-658
DLC 2018: Workshop on Deep Learning and Clustering
- Masaomi Kimura:
AutoClustering: A Feed-Forward Neural Network Based Clustering Algorithm. 659-666 - Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan:
Context Learning Network for Object Detection. 667-673 - Sawon Pratiher, Subhankar Chattoraj, Sumit Agarwal, Shubhobrata Bhattacharya:
Grading Tumor Malignancy via Deep Bidirectional LSTM on Graph Manifold Encoded Histopathological Image. 674-681 - Allou Samé:
Sequential Variational Learning of Dynamic Factor Mixtures. 682-688 - Subin Yi, Jaesik Choi:
Learning the Group Structure of Deep Neural Networks with an Expectation Maximization Method. 689-696
DMBIH 2018: Sixth Workshop on Data Mining in Biomedical Informatics and Healthcare
- Dante Chakravorti, Kathleen Law, Jonathan Gemmell, Daniela Raicu:
Detecting and Characterizing Trends in Online Mental Health Discussions. 697-706 - Loes Crielaard, Panagiotis Papapetrou:
Explainable Predictions of Adverse Drug Events from Electronic Health Records Via Oracle Coaching. 707-714 - Samah J. Fodeh, Taihua Li, Haya Jarad, Basmah Safdar:
Identifying Patients with Coronary Microvascular Dysfunction using Machine Learning. 715-721 - Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Clayton Thomas Morrison:
Inter-Sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts. 722-731 - Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen:
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance. 732-739 - Sushmita Paul, Madhumita:
Robust Computational Method for Identification of miRNA-mRNA Modules in Cervical Cancer. 740-747 - Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira:
Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups. 748-757
DMESS 2018: Eighth Workshop on Data Mining in Earth System Science
- Udit Bhatia, Auroop Ratan Ganguly:
Extreme Values from Spatiotemporal Chaos: Precipitation Extremes and Climate Variability. 758-762 - Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay:
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. 763-769 - Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman:
Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets. 770-778 - Yuping Lu, Jitendra Kumar, Nathan Collier, Bhargavi Krishna, Michael A. Langston:
Detecting Outliers in Streaming Time Series Data from ARM Distributed Sensors. 779-786 - Richard Tran Mills, Vamsi Sripathi, Jitendra Kumar, Sarat Sreepathi, Forrest M. Hoffman, William W. Hargrove:
Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures. 787-794 - Wei Song, Minghui Li, Qi He, Dongmei Huang, Cristian Perra, Antonio Liotta:
A Residual Convolution Neural Network for Sea Ice Classification with Sentinel-1 SAR Imagery. 795-802 - Donglin Zhan, Shiyu Yi, Denglin Jiang:
Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN. 803-809
DMS 2018: IEEE International Workshop on Data Mining for Service
- Tianle Chen, Brian Keng, Javier Moreno:
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting. 810-819 - Thang Doan, Neil Veira, Brian Keng:
Generating Realistic Sequences of Customer-Level Transactions for Retail Datasets. 820-827 - Joël Goossens, Tiblets Demewez, Marwan Hassani:
Effective Steering of Customer Journey via Order-Aware Recommendation. 828-837 - Zhen Li, Fangzhou Li, Jing Xiao, Zhi Yang:
Effects of Negative Customer Reviews on Sales: Evidence Based on Text Data Mining. 838-847 - Yuta Kaneko, Katsutoshi Yada, Wataru Ihara, Ryunosuke Odagiri:
How Game Users Consume Virtual Currency: The Relationship Between Consumed Quantity, Inventory, and Elapsed Time Since Last Consumption in the Mobile Game World. 848-855 - Kosuke Mizufune, Sotaro Katsumata:
Joint Classification Model of Topic and Polarity: Finding Satisfaction and Dissatisfaction Factors from Airport Service Review. 856-863 - Kunal Rajput, Girija Chetty, Rachel Davey:
Deep Neural Models for Chronic Disease Status Detection in Free Text Clinical Records. 864-869
DSBDA 2018: The 6th International Workshop on Data Science and Big Data Analytics
- Dorian Beganovic, Evgueni N. Smirnov:
Ensemble Cross-Conformal Prediction. 870-877 - Jorge Casillas, Shuo Wang:
Concept Drift Detection in Histogram-Based Straightforward Data Stream Prediction. 878-885 - Jérémy Charlier, Eric Falk, Radu State, Jean Hilger:
User-Device Authentication in Mobile Banking Using APHEN for Paratuck2 Tensor Decomposition. 886-894 - Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-Based Image Classification. 895-904 - Xuan Liu, Xiaoguang Wang, Stan Matwin:
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. 905-912 - Arindam Ghosh, Prithviraj Pramanik, Kartick Das Banerjee, Ashutosh Roy, Subrata Nandi, Sujoy Saha:
Analyzing Correlation Between Air and Noise Pollution with Influence on Air Quality Prediction. 913-918 - David Grob, Mehmet Vurkac, Agnieszka Miguel, Mirka Mandich, Rana Bayrakcsmith:
Pareto Optimization of Parameter Selection Speeds Up and Improves Quality of Motion Computation: Applying Evolutionary Multi-objective Optimization to Randomized-Subspace Robust PCA. 919-928 - Zixuan Li, Xiaolong Jin, Saiping Guan, Yuanzhuo Wang, Xueqi Cheng:
Path Reasoning over Knowledge Graph: A Multi-agent and Reinforcement Learning Based Method. 929-936 - Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish:
Contextual Bandit with Adaptive Feature Extraction. 937-944 - Vladimir Mic, David Novak, Pavel Zezula:
Modifying Hamming Spaces for Efficient Search. 945-953 - Masaki Onuki, Yuichi Tanaka:
SVD for Very Large Matrices: An Approach with Polar Decomposition and Polynomial Approximation. 954-963 - Ryuji Sakata, Iku Ohama, Tadahiro Taniguchi:
An Extension of Gradient Boosted Decision Tree Incorporating Statistical Tests. 964-969 - Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek:
Outlier Detection Based on Low Density Models. 970-979
GA 2018: International Workshop on Graph Analytics
- Qianna Cui, Haiwei Pan:
Online and Semi-Online Vector Scheduling on A Single Machine with Rejection. 980-985 - Xin Huang, Jiaxin Jiang, Byron Choi, Jianliang Xu, Zhiwei Zhang, Yunya Song:
PP-DBLP: Modeling and Generating Attributed Public-Private Networks with DBLP. 986-989 - Bismita Jena, Cynthia Khan, Rajshekhar Sunderraman:
SparkFSM: A Highly Scalable Frequent Subgraph Mining Approach using Apache Spark. 990-997 - Siddharth Bhatia, Rajiv Kumar:
Review of Graph Processing Frameworks. 998-1005 - Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar:
Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement. 1006-1013
GRLA 2018: International Workshop on Large Scale Graph Representation Learning and Applications
- Ikhlas Alhussien, Erik Cambria, Zhang NengSheng:
Semantically Enhanced Models for Commonsense Knowledge Acquisition. 1014-1021 - Yunfei Chu, Chunyan Feng, Caili Guo, Yaqing Wang, Jenq-Neng Hwang:
Event2vec: Heterogeneous Hypergraph Embedding for Event Data. 1022-1029 - Lan-Zhe Guo, Shao-Bo Wang, Yufeng Li:
Large Margin Graph Construction for Semi-Supervised Learning. 1030-1033 - Sergey Ivanov, Nikita Durasov, Evgeny Burnaev:
Learning Node Embeddings for Influence Set Completion. 1034-1037 - Zhao Li, Jiaming Huang, Donghui Ding:
Learning Network Representations with Neighboring Affinity. 1038-1045 - Kento Nozawa, Masanari Kimura, Atsunori Kanemura:
Analyzing Centralities of Embedded Nodes. 1046-1049 - Maxim Panov, Stanislav Tsepa:
Constructing Graph Node Embeddings via Discrimination of Similarity Distributions. 1050-1053
HDM 2018: 6th ICDM Workshop on High Dimensional Data Mining
- Bishal Deb, Ankita Sarkar, Nupur Kumari, Akash Rupela, Piyush Gupta, Balaji Krishnamurthy:
Multimapper: Data Density Sensitive Topological Visualization. 1054-1061 - Arthur Flexer, Monika Dörfler, Jan Schlüter, Thomas Grill:
Hubness as a Case of Technical Algorithmic Bias in Music Recommendation. 1062-1069 - Youssef Hmamouche, Lotfi Lakhal, Alain Casali:
Predictors Extraction in Time Series Using Authorities-Hubs Ranking. 1070-1079 - Hyunmin Lee, Zhen Hao Wu, Zhaolei Zhang:
Dimension Reduction on Open Data Using Variational Autoencoder. 1080-1085 - Yingjing Lu:
Mining Connections Between Domains through Latent Space Mapping. 1086-1093 - Ryan Moulton, Yunjiang Jiang:
Maximally Consistent Sampling and the Jaccard Index of Probability Distributions. 1094-1103 - Mihir Shekhar, Lini T. Thomas, Kamalakar Karlapalem:
High Dimensional Clustering: A Strongly Connected Component Clustering Solution (SCCC). 1104-1111 - Donglin Wang:
HILLS: Hierarchical Indoor Localization for Large-Scale Architectural Complex. 1112-1121 - Mohammed Wasid, Rashid Ali:
Clustering Approach for Multidimensional Recommender Systems. 1122-1127 - Ao Yin, Chunkai Zhang:
BOFE: Anomaly Detection in Linear Time Based on Feature Estimation. 1128-1133 - Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo:
Large Scale Classification in Deep Neural Network with Label Mapping. 1134-1143
IWSC 2018: 2nd International Workshop on Social Computing
- Ryohei Yokobayashi, Takao Miura:
Multidimensional Data Mining Based on Tensor. 1144-1151 - Maoto Inoue, Takao Miura:
Tracking Aspects in News Documents. 1152-1159 - Apeksha Aggarwal, Durga Toshniwal:
Spatio-Temporal Frequent Itemset Mining on Web Data. 1160-1165 - Noha Alduaiji, Amitava Datta:
An Empirical Study on Sentiments in Twitter Communities. 1166-1172 - Logan Rohde, Somya D. Mohanty, Jing Deng, Fereidoon Sadri:
The Propagation of Counteracting Information in Online Social Networks: A Case Study. 1173-1177 - Bhaskar Gautam, Annappa Basava, Abhishek Singh, Amit Agrawal:
When and Where?: Behavior Dominant Location Forecasting with Micro-Blog Streams. 1178-1185 - Omer Tal, Yang Liu:
TCENR: A Hybrid Neural Recommender for Location Based Social Networks. 1186-1191 - Jacob Levy Abitbol, Márton Karsai, Eric Fleury:
Location, Occupation, and Semantics Based Socioeconomic Status Inference on Twitter. 1192-1199 - Ahmad Hany Hossny, Lewis Mitchell:
Event Detection in Twitter: A Keyword Volume Approach. 1200-1208
OEDM 2018: Workshop on Optimization Based Techniques for Emerging Data Mining Problems
- Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu:
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. 1209-1216 - Jeffrey Hajewski, Suely Oliveira, David E. Stewart:
Smoothed Hinge Loss and ℓ1 Support Vector Machines. 1217-1223 - Gokberk Kocak, Ozgur Akgun, Ian Miguel, Peter Nightingale:
Closed Frequent Itemset Mining with Arbitrary Side Constraints. 1224-1232 - Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen:
A Survey on Semantic Segmentation. 1233-1240 - Yue Li, Bo Wang:
A Study on Customer Churn of Commercial Banks Based on Learning from Label Proportions. 1241-1247 - Rongrong Ma, Lingfeng Niu:
Compact Deep Neural Networks with ℓ1, 1 and ℓ1, 2 Regularization. 1248-1254 - Yong Shi, Yuanchun Zheng, Kun Guo, Luyao Zhu, Yi Qu:
Intrinsic or Extrinsic Evaluation: An Overview of Word Embedding Evaluation. 1255-1262 - Jianxiong Tang, Na Zhang, Qia Li:
Robust Binary Classification via ℓ0-SVM. 1263-1270
SAREC 2018: 1st Workshop on Scalable and Applicable Recommendation Systems
- Peter Ballen, Sudipto Guha:
Elastic Nonnegative Matrix Factorization. 1271-1278 - Anup Anand Deshmukh, Pratheeksha Nair, Shrisha Rao:
A Scalable Clustering Algorithm for Serendipity in Recommender Systems. 1279-1288 - Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin:
Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. 1289-1293 - Zhaoqiang Li, Jiajin Huang, Ning Zhong:
Leveraging Reconstructive Profiles of Users and Items for Tag-Aware Recommendation. 1294-1299 - Kun Niu, Haizhen Jiao, Xiao Xu, Cheng Cheng, Chao Wang:
A Novel Learning Approach to Improve Mobile Application Recommendation Diversity. 1300-1307 - Iqra Safder, Saeed-Ul Hassan:
DS4A: Deep Search System for Algorithms from Full-Text Scholarly Big Data. 1308-1315 - Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Xing Xie, Xueming Qian:
Why You Should Listen to This Song: Reason Generation for Explainable Recommendation. 1316-1322 - Hanqing Zhao, Xu Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Recommendation with Hybrid Interest Model. 1323-1331 - Xiaoyao Zheng, Yonglong Luo, Ji Zhang, Liping Sun, Fulong Chen:
A Novel Differential Privacy Recommendation Method Based on a Distributed Framework. 1332-1339
SENTIRE 2018: Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
- Shengmin Jin, Reza Zafarani:
Sentiment Prediction in Social Networks. 1340-1347 - Simone Merello, Andrea Picasso Ratto, Yukun Ma, Luca Oneto, Erik Cambria:
Investigating Timing and Impact of News on the Stock Market. 1348-1354 - Bruno Justino Garcia Praciano, João Paulo Carvalho Lustosa da Costa, Joao Paulo Abreu Maranhao, Fábio Lúcio Lopes de Mendonça, Rafael Timóteo de Sousa Júnior, Juliano Barbosa Prettz:
Spatio-Temporal Trend Analysis of the Brazilian Elections Based on Twitter Data. 1355-1360 - Hafiz Hassaan Saeed, Khurram Shahzad, Faisal Kamiran:
Overlapping Toxic Sentiment Classification Using Deep Neural Architectures. 1361-1366 - Burak Suyunu, Gonul Ayci, Mine Ögretir, Ali Taylan Cemgil, Suzan Uskudarli, Hamza Zeytinoglu, Bülent Özel, Arman Boyaci:
Semi-Supervised Psychometric Scoring of Document Collections. 1367-1374 - Zhaoxia Wang, Seng-Beng Ho, Zhiping Lin:
Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment. 1375-1380
SSTDM 2018: International Workshop on Spatial and Spatiotemporal Data Mining
- Jannaï Tokotoko, Frédéric Flouvat, Claire Goiran, Laetitia Hédouin, Antoine Collin, Nazha Selmaoui-Folcher:
Supervised Classification of Satellite Images with Spatially Inaccurate Training Field Data. 1381-1388 - Jacques Fize, Mathieu Roche, Maguelonne Teisseire:
Matching Heterogeneous Textual Data Using Spatial Features. 1389-1396 - Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Nikhil Kaza, Eric Wibbels, Anirudh Krishna:
Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images. 1397-1404 - Alireza Chakeri, Mark Lowe:
From Geolocation-Based Only to Semantically-Aware Digital Advertising: A Neural Embedding Approach. 1405-1410
Demo Session
- Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
JobSense: A Data-Driven Career Knowledge Exploration Framework and System. 1411-1416 - Ying Shen, Yang Deng, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei:
IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy. 1417-1422 - Zijun Xue, Ting-Yu Ko, Neo Yuchen, Ming-Kuang Daniel Wu, Chu-Cheng Hsieh:
Isa: Intuit Smart Agent, A Neural-Based Agent-Assist Chatbot. 1423-1428 - Mo Sha, Yuchen Li, Yanhao Wang, Wentian Guo, Kian-Lee Tan:
River: A Real-Time Influence Monitoring System on Social Media Streams. 1429-1434 - Fei Song, Yanlei Diao, Jesse Read, Arnaud Stiegler, Albert Bifet:
EXAD: A System for Explainable Anomaly Detection on Big Data Traces. 1435-1440 - Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
Interactive Higher-Order Network Analysis. 1441-1446 - Jason Wang, David Goldberg, Pauline Burke, Dave Bhoite:
Designing and Analyzing A/B Tests in an Online Marketplace. 1447-1452 - Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim:
Linky: Visualizing User Identity Linkage Results for Multiple Online Social Networks. 1453-1458 - Jerry Chun-Wei Lin, Philippe Fournier-Viger, Lintai Wu, Wensheng Gan, Youcef Djenouri, Ji Zhang:
PPSF: An Open-Source Privacy-Preserving and Security Mining Framework. 1459-1463 - Omer Gunes, Nicholas Cole, Sebastian Bates, Jonas Tupp-Mugglestone:
Ask George Washington on Negotiated Texts with Quill Q&A. 1464-1468 - Frédérique E. Oggier, Silivanxay Phetsouvanh, Anwitaman Datta:
BiVA: Bitcoin Network Visualization & Analysis. 1469-1474 - Salim Afra, Tansel Özyer, Jon G. Rokne:
NetDriller Version 2: A Powerful Social Network Analysis Tool. 1475-1480 - Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures. 1481-1486 - Bei Chen, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Mathieu Sinn, Seshu Tirupathi:
Castor: Contextual IoT Time Series Data and Model Management at Scale. 1487-1492
PhD Forum
- Ifeoluwa Agboola:
Development of Mental Model in Understanding Users' Thought Processes for the Evaluation and Functional Enhancement of Clinical Decision Support Systems. 1493-1494 - Elnaz Azmi:
On Using Clustering for the Optimization of Hydrological Simulations. 1495-1496 - Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization. 1497-1498 - Animesh Chaturvedi, Aruna Tiwari:
SysEvoRecomd: Graph Evolution and Change Learning Based System Evolution Recommender. 1499-1500 - Tyler Derr, Jiliang Tang:
Congressional Vote Analysis Using Signed Networks. 1501-1502 - Takato Honda, Yasuko Matsubara, Yasushi Sakurai:
Automatic Mining of Large IoT Sensor Tensor. 1503-1504 - Sein Minn, Feida Zhu, Michel C. Desmarais:
Improving Knowledge Tracing Model by Integrating Problem Difficulty. 1505-1506 - Prithviraj Pramanik, Subrata Nandi, Mousumi Saha:
AirCalypse: Revealing Fine-Grained Air Quality from Social Media. 1507-1508 - Ahmed Saleh, Ansgar Scherp:
Attend2trend: Attention Model for Real-Time Detecting and Forecasting of Trending Topics. 1509-1510 - Shivin Srivastava:
Extracting Addresses from Unstructured Text Using Bi-directional Recurrent Neural Networks. 1511-1513 - Chandan Gautam, Aruna Tiwari:
Localized Multiple Kernel Support Vector Data Description. 1514-1521 - Sravan Babu Bodapati, Sriraghavendra Ramaswamy, Gururaj Narayanan:
A Machine Learning Approach to Detecting Start Reading Location of eBooks. 1522-1529
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