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18th 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