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ORCID24th KDD 2018: London, UK
- Yike Guo, Faisal Farooq:
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018. ACM 2018
Keynote Addresses
- David J. Hand:
Data Science for Financial Applications. 1 - Alvin E. Roth:
Market Design and Computerized Marketplaces. 2 - Yee Whye Teh:
On Big Data Learning for Small Data Problems. 3 - Jeannette M. Wing:
Data for Good: Abstract. 4
Applied Data Science Track Papers
- Jacob D. Abernethy, Alex Chojnacki, Arya Farahi
, Eric M. Schwartz, Jared Webb:
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan. 5-14 - Klaus Ackermann, Joe Walsh, Adolfo De Unánue, Hareem Naveed, Andrea Navarrete Rivera, Sun-Joo Lee, Jason Bennett, Michael Defoe, Crystal Cody, Lauren Haynes, Rayid Ghani:
Deploying Machine Learning Models for Public Policy: A Framework. 15-22 - Deepak Agarwal, Kinjal Basu, Souvik Ghosh, Ying Xuan, Yang Yang, Liang Zhang:
Online Parameter Selection for Web-based Ranking Problems. 23-32 - Samet Ayhan, Pablo Costas, Hanan Samet:
Predicting Estimated Time of Arrival for Commercial Flights. 33-42 - Tian Bai, Shanshan Zhang, Brian L. Egleston, Slobodan Vucetic:
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. 43-51 - Xiao Bai, Erik Ordentlich, Yuanyuan Zhang, Andy Feng, Adwait Ratnaparkhi, Reena Somvanshi, Aldi Tjahjadi:
Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search. 52-61 - Rahul Bhagat, Srevatsan Muralidharan, Alex Lobzhanidze, Shankar Vishwanath:
Buy It Again: Modeling Repeat Purchase Recommendations. 62-70 - Fedor Borisyuk, Albert Gordo, Viswanath Sivakumar:
Rosetta: Large Scale System for Text Detection and Recognition in Images. 71-79 - Ângelo Cardoso, Fabio Daolio, Saúl Vargas:
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products. 80-89 - Boyo Chen, Buo-Fu Chen, Hsuan-Tien Lin:
Rotation-blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression. 90-99 - Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li:
Distributed Collaborative Hashing and Its Applications in Ant Financial. 100-109 - Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu:
MIX: Multi-Channel Information Crossing for Text Matching. 110-119 - Xi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi:
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary. 120-129 - Xumin Chen, Peng Cui, Lingling Yi, Shiqiang Yang:
Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data. 130-138 - Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi:
Q&R: A Two-Stage Approach toward Interactive Recommendation. 139-148 - Jonathan Chung, Sarah A. Chau, Nathan Herrmann, Krista L. Lanctôt, Moshe Eizenman:
Detection of Apathy in Alzheimer Patients by Analysing Visual Scanning Behaviour with RNNs. 149-157 - Giovanni Comarela, Ramakrishnan Durairajan, Paul Barford, Dino P. Christenson, Mark Crovella:
Assessing Candidate Preference through Web Browsing History. 158-167 - Michael D. Conover, Matthew Hayes, Scott Blackburn, Pete Skomoroch, Sam Shah:
Pangloss: Fast Entity Linking in Noisy Text Environments. 168-176 - Joel Janek Dabrowski, Ashfaqur Rahman, Andrew George, Stuart Arnold, John McCulloch:
State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming. 177-185 - Maria Daltayanni, Ali Dasdan, Luca de Alfaro:
Automated Audience Segmentation Using Reputation Signals. 186-195 - Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau:
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. 196-204 - Heidar Davoudi, Aijun An, Morteza Zihayat, Gordon Edall:
Adaptive Paywall Mechanism for Digital News Media. 205-214 - Daniel de Roux, Boris Perez, Andrés Moreno, María-Del-Pilar Villamil, César Figueroa:
Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning Approach. 215-222 - Tom Decroos, Jan Van Haaren, Jesse Davis:
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data. 223-232 - Alex Deng, Ulf Knoblich, Jiannan Lu:
Applying the Delta Method in Metric Analytics: A Practical Guide with Novel Ideas. 233-242 - Tom Diethe, Mike Holmes, Meelis Kull, Miquel Perelló-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach:
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project. 243-252 - Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu:
Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System. 253-262 - Donatella Firmani, Marco Maiorino, Paolo Merialdo, Elena Nieddu:
Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio - Episode 1: Machine Transcription of the Manuscripts. 263-272 - Keith Funkhouser, Matthew Malloy, Enis Ceyhun Alp, Phillip Poon, Paul Barford:
Device Graphing by Example. 273-282 - Yan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, P. J. Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee:
Near Real-time Optimization of Activity-based Notifications. 283-292 - Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff:
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. 293-301 - Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas:
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction. 302-310 - Mihajlo Grbovic, Haibin Cheng:
Real-time Personalization using Embeddings for Search Ranking at Airbnb. 311-320 - Mengyue Hang, Ian Pytlarz, Jennifer Neville:
Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction. 321-330 - Shahar Harel, Kira Radinsky:
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks. 331-339 - Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Chao Tian, Yu Zheng:
Detecting Vehicle Illegal Parking Events using Sharing Bikes' Trajectories. 340-349 - Anthony Hu, Seth R. Flaxman:
Multimodal Sentiment Analysis To Explore the Structure of Emotions. 350-358 - Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi Stephen Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti:
Web-Scale Responsive Visual Search at Bing. 359-367 - Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu:
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. 368-377 - Pierre Hulot, Daniel Aloise, Sanjay Dominik Jena:
Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems. 378-386 - Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Söderström:
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding. 387-395 - Srinivasan Iyengar, Stephen Lee, David E. Irwin, Prashant J. Shenoy, Benjamin Weil:
WattHome: A Data-driven Approach for Energy Efficiency Analytics at City-scale. 396-405 - Vijay Manikandan Janakiraman:
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning. 406-415 - Grégoire Jauvion, Nicolas Grislain:
Optimal Allocation of Real-Time-Bidding and Direct Campaigns. 416-424 - Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz:
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. 425-432 - Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig:
Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN. 433-442 - Patrick Koch, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin, Yan Xu:
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning. 443-452 - Marios Kokkodis:
Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets. 453-461 - Maksim Koptelov, Albrecht Zimmermann, Pascal Bonnet, Ronan Bureau, Bruno Crémilleux:
PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference Compounds. 462-471 - Avishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks, R. Ali Vanderveld, Kevin H. Wilson, Chad Kenney, Sam Edelstein, Adria Finch, Andrew Maxwell, Joe Zuckerbraun, Rayid Ghani:
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks. 472-480 - Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev:
Collaborative Deep Metric Learning for Video Understanding. 481-490 - Minyong R. Lee, Milan Shen:
Winner's Curse: Bias Estimation for Total Effects of Features in Online Controlled Experiments. 491-499 - Mu-Chu Lee, Bin Gao, Ruofei Zhang:
Rare Query Expansion Through Generative Adversarial Networks in Search Advertising. 500-508 - Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng:
TATC: Predicting Alzheimer's Disease with Actigraphy Data. 509-518 - Jianbo Li, Jingrui He, Yada Zhu:
E-tail Product Return Prediction via Hypergraph-based Local Graph Cut. 519-527 - Xijun Li, Mingxuan Yuan, Di Chen, Jianguo Yao, Jia Zeng:
A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint. 528-536 - Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu:
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. 537-546 - Qingwei Lin, Weichen Ke, Jian-Guang Lou, Hongyu Zhang, Kaixin Sui, Yong Xu, Ziyi Zhou, Bo Qiao, Dongmei Zhang:
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data. 547-555 - Qiaoling Liu, Josh Chao, Thomas Mahoney, Alan Chern, Chris Min, Faizan Javed, Valentin Jijkoun:
Lessons Learned from Developing and Deploying a Large-Scale Employer Name Normalization System for Online Recruitment. 556-565 - Zhaoyang Liu, Yanyan Shen, Yanmin Zhu:
Where Will Dockless Shared Bikes be Stacked?: - Parking Hotspots Detection in a New City. 566-575 - Tova Milo, Amit Somech:
Next-Step Suggestions for Modern Interactive Data Analysis Platforms. 576-585 - Piero Molino, Huaixiu Zheng, Yi-Chia Wang:
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks. 586-595 - Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si:
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. 596-605 - Tim Op De Beéck, Wannes Meert, Kurt Schütte, Benedicte Vanwanseele, Jesse Davis:
Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion. 606-615 - Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon:
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. 616-625 - Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner:
An Extensible Event Extraction System With Cross-Media Event Resolution. 626-635 - Jinfeng Rao, Ferhan Türe, Jimmy Lin:
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform. 636-645 - Yuecheng Rong, Zhimian Xu, Ruibo Yan, Xu Ma:
Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking Availability. 646-654 - Rui Paulo Ruhrländer, Martin Boissier, Matthias Uflacker:
Improving Box Office Result Predictions for Movies Using Consumer-Centric Models. 655-664 - Elaheh Sadredini, Deyuan Guo, Chunkun Bo, Reza Rahimi, Kevin Skadron, Hongning Wang:
A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators. 665-674 - Tara Safavi, Maryam Davoodi, Danai Koutra:
Career Transitions and Trajectories: A Case Study in Computing. 675-684 - Karan Samel, Xu Miao:
Active Deep Learning to Tune Down the Noise in Labels. 685-694 - Issei Sato, Yukihiro Nomura, Shouhei Hanaoka, Soichiro Miki, Naoto Hayashi, Osamu Abe, Yoshitaka Masutani:
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition. 695-704 - Rainer Schlosser, Martin Boissier:
Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach. 705-714 - Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati:
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. 715-723 - Bilong Shen, Xiaodan Liang, Yufeng Ouyang, Miaofeng Liu, Weimin Zheng, Kathleen M. Carley:
StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network. 724-733 - Ying Sheng, Sandeep Tata, James B. Wendt, Jing Xie, Qi Zhao, Marc Najork:
Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email. 734-743 - Yeming Shi, Claudia Perlich, Rod Hook, Wickus Martin, Melinda Han Williams, Justin Moynihan, Patrick McCarthy, Peter Lenz, Reka Daniel-Weiner, Roger Cost:
Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers. 744-753 - Mark Silvis, Anthony Sicilia, Alexandros Labrinidis:
PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students. 754-763 - Bhavkaran Singh Walia, Qianyi Hu, Jeffrey Chen, Fangyan Chen, Jessica Lee, Nathan Kuo, Palak Narang, Jason Batts, Geoffrey Arnold, Michael Madaio:
A Dynamic Pipeline for Spatio-Temporal Fire Risk Prediction. 764-773 - Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. 774-782 - Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi:
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization. 783-792 - Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou:
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. 793-801 - Harini Suresh, Jen J. Gong, John V. Guttag:
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. 802-810 - Jianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, Zhou Zhao:
NGUARD: A Game Bot Detection Framework for NetEase MMORPGs. 811-820 - Martin Valdez-Vivas, Caner Gocmen, Andrii Korotkov, Ethan Fang, Kapil Goenka, Sherry Chen:
A Real-time Framework for Detecting Efficiency Regressions in a Globally Distributed Codebase. 821-829 - Jingyuan Wang, Xiaojian Wang, Junjie Wu:
Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention. 830-838 - Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee:
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. 839-848 - Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao:
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. 849-857 - Zheng Wang, Kun Fu, Jieping Ye:
Learning to Estimate the Travel Time. 858-866 - Serene W. H. Wong, Chiara Pastrello, Max Kotlyar, Christos Faloutsos, Igor Jurisica:
SDREGION: Fast Spotting of Changing Communities in Biological Networks. 867-875 - Yuxiang Xie, Nanyu Chen, Xiaolin Shi:
False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments. 876-885 - Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang:
Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs. 886-894 - Ya Xu, Weitao Duan, Shaochen Huang:
SQR: Balancing Speed, Quality and Risk in Online Experiments. 895-904 - Zhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, Jieping Ye:
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach. 905-913 - Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. 914-922 - Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi:
Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. 923-931 - Peng Ye, Julian Qian, Jieying Chen, Chen-Hung Wu, Yitong Zhou, Spencer De Mars, Frank Yang, Li Zhang:
Customized Regression Model for Airbnb Dynamic Pricing. 932-940 - Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang:
RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization. 941-950 - Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng:
Deep Distributed Fusion Network for Air Quality Prediction. 965-973 - Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. 974-983 - Zhuoning Yuan, Xun Zhou, Tianbao Yang:
Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. 984-992 - Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin:
Visual Search at Alibaba. 993-1001 - Yutao Zhang, Fanjin Zhang, Peiran Yao, Jie Tang:
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. 1002-1011 - Bo Zhao, Koichiro Narita, Burkay Orten, John Egan:
Notification Volume Control and Optimization System at Pinterest. 1012-1020 - Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He:
Deep Reinforcement Learning for Sponsored Search Real-time Bidding. 1021-1030 - Kui Zhao, Yuechuan Li, Zhaoqian Shuai, Cheng Yang:
Learning and Transferring IDs Representation in E-commerce. 1031-1039 - Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. 1040-1048 - Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. 1049-1058 - Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. 1059-1068