kdd2017.md

KDD2017 Paper List

论文	作者	组织	摘要	翻译	代码	引用数
metapath2vec: Scalable Representation Learning for Heterogeneous Networks	Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami				code	1042
Anomaly Detection with Robust Deep Autoencoders	Chong Zhou, Randy C. Paffenroth				code	542
struc2vec: Learning Node Representations from Structural Identity	Leonardo Filipe Rodrigues Ribeiro, Pedro H. P. Saverese, Daniel R. Figueiredo				code	471
Algorithmic Decision Making and the Cost of Fairness	Sam CorbettDavies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq				code	349
Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks	Huan Zhao, Quanming Yao, Jianda Li, Yangqiu Song, Dik Lun Lee				code	289
GRAM: Graph-based Attention Model for Healthcare Representation Learning	Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun				code	271
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks	Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao				code	256
Google Vizier: A Service for Black-Box Optimization	Daniel Golovin, Benjamin Solnik, Subhodeep Moitra, Greg Kochanski, John Karro, D. Sculley				code	239
Patient Subtyping via Time-Aware LSTM Networks	Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou				code	236
Local Higher-Order Graph Clustering	Hao Yin, Austin R. Benson, Jure Leskovec, David F. Gleich				code	236
Embedding-based News Recommendation for Millions of Users	Shumpei Okura, Yukihiro Tagami, Shingo Ono, Akira Tajima				code	211
Collaborative Variational Autoencoder for Recommender Systems	Xiaopeng Li, James She				code	209
Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation	Carl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, Jiawei Han				code	182
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms	Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv				code	175
Stock Price Prediction via Discovering Multi-Frequency Trading Patterns	Liheng Zhang, Charu C. Aggarwal, GuoJun Qi				code	143
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform	Denis Baylor, Eric Breck, HengTze Cheng, Noah Fiedel, Chuan Yu Foo, Zakaria Haque, Salem Haykal, Mustafa Ispir, Vihan Jain, Levent Koc, Chiu Yuen Koo, Lukasz Lew, Clemens Mewald, Akshay Naresh Modi, Neoklis Polyzotis, Sukriti Ramesh, Sudip Roy, Steven Euijong Whang, Martin Wicke, Jarek Wilkiewicz, Xin Zhang, Martin Zinkevich				code	142
Anomaly Detection in Streams with Extreme Value Theory	Alban Siffer, PierreAlain Fouque, Alexandre Termier, Christine Largouët				code	139
HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network	Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu				code	135
A Taxi Order Dispatch Model based On Combinatorial Optimization	Lingyu Zhang, Tao Hu, Yue Min, Guobin Wu, Junying Zhang, Pengcheng Feng, Pinghua Gong, Jieping Ye				code	128
Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity	Blake Anderson, David A. McGrew				code	123
Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster	Naeemul Hassan, Fatma Arslan, Chengkai Li, Mark Tremayne				code	118
Planning Bike Lanes based on Sharing-Bikes' Trajectories	Jie Bao, Tianfu He, Sijie Ruan, Yanhua Li, Yu Zheng				code	116
Learning from Multiple Teacher Networks	Shan You, Chang Xu, Chao Xu, Dacheng Tao				code	108
Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews	Konstantin Bauman, Bing Liu, Alexander Tuzhilin				code	96
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data	David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec				code	93
Weisfeiler-Lehman Neural Machine for Link Prediction	Muhan Zhang, Yixin Chen				code	88
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration	Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang				code	83
TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams	Chao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han				code	80
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection	Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow				code	80
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution	Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly				code	79
ReasoNet: Learning to Stop Reading in Machine Comprehension	Yelong Shen, PoSen Huang, Jianfeng Gao, Weizhu Chen				code	78
Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale	Adrian Albert, Jasleen Kaur, Marta C. González				code	77
Network Inference via the Time-Varying Graphical Lasso	David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec				code	73
A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments	Pavel A. Dmitriev, Somit Gupta, Dong Woo Kim, Garnet Jason Vaz				code	70
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking	Gabriele Tolomei, Fabrizio Silvestri, Andrew Haines, Mounia Lalmas				code	69
Adversary Resistant Deep Neural Networks with an Application to Malware Detection	Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles				code	69
On Sampling Strategies for Neural Network-based Collaborative Filtering	Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong				code	67
AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification	Yukihiro Tagami				code	61
LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity	Yutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun				code	58
Optimized Cost per Click in Taobao Display Advertising	Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai				code	52
Not All Passes Are Created Equal: Objectively Measuring the Risk and Reward of Passes in Soccer from Tracking Data	Paul Power, Héctor Ruiz, Xinyu Wei, Patrick Lucey				code	52
Scalable and Sustainable Deep Learning via Randomized Hashing	Ryan Spring, Anshumali Shrivastava				code	50
FORA: Simple and Effective Approximate Single-Source Personalized PageRank	Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang				code	49
Visual Search at eBay	Fan Yang, Ajinkya Kale, Yury Bubnov, Leon Stein, Qiaosong Wang, M. Hadi Kiapour, Robinson Piramuthu				code	48
Point-of-Interest Demand Modeling with Human Mobility Patterns	Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong				code	48
Cascade Ranking for Operational E-commerce Search	Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si				code	45
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables	Himabindu Lakkaraju, Jon M. Kleinberg, Jure Leskovec, Jens Ludwig, Sendhil Mullainathan				code	45
Extremely Fast Decision Tree Mining for Evolving Data Streams	Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer				code	44
Federated Tensor Factorization for Computational Phenotyping	Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang				code	44
When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks	Ingo Scholtes				code	44
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users	Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong				code	42
A Hybrid Framework for Text Modeling with Convolutional RNN	Chenglong Wang, Feijun Jiang, Hongxia Yang				code	42
PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification	Ian EnHsu Yen, Xiangru Huang, Wei Dai, Pradeep Ravikumar, Inderjit S. Dhillon, Eric P. Xing				code	41
Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion	Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu, Hui Xiong				code	41
Discrete Content-aware Matrix Factorization	Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao				code	39
A Local Algorithm for Structure-Preserving Graph Cut	Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He				code	39
Inductive Semi-supervised Multi-Label Learning with Co-Training	Wang Zhan, MinLing Zhang				code	38
Ego-Splitting Framework: from Non-Overlapping to Overlapping Clusters	Alessandro Epasto, Silvio Lattanzi, Renato Paes Leme				code	37
MetaPAD: Meta Pattern Discovery from Massive Text Corpora	Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han				code	37
Prospecting the Career Development of Talents: A Survival Analysis Perspective	Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao				code	37
Backpage and Bitcoin: Uncovering Human Traffickers	Rebecca S. Portnoff, Danny Yuxing Huang, Periwinkle Doerfler, Sadia Afroz, Damon McCoy				code	37
Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes	Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal				code	36
Customer Lifetime Value Prediction Using Embeddings	Benjamin Paul Chamberlain, Ângelo Cardoso, C. H. Bryan Liu, Roberto Pagliari, Marc Peter Deisenroth				code	35
An Efficient Bandit Algorithm for Realtime Multivariate Optimization	Daniel N. Hill, Houssam Nassif, Yi Liu, Anand Iyer, S. V. N. Vishwanathan				code	35
KATE: K-Competitive Autoencoder for Text	Yu Chen, Mohammed J. Zaki				code	35
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations	Yuxiao Dong, Hao Ma, Zhihong Shen, Kuansan Wang				code	35
Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams	Junming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun, Hui Xiong				code	34
Graph Edge Partitioning via Neighborhood Heuristic	Chenzi Zhang, Fan Wei, Qin Liu, Zhihao Gavin Tang, Zhenguo Li				code	34
Peeking at A/B Tests: Why it matters, and what to do about it	Ramesh Johari, Pete Koomen, Leonid Pekelis, David Walsh				code	33
A Hierarchical Algorithm for Extreme Clustering	Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum				code	33
A Context-aware Attention Network for Interactive Question Answering	Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav				code	33
An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard Distance	Edward Raff, Charles K. Nicholas				code	32
Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings	Aleksandar Bojchevski, Yves Matkovic, Stephan Günnemann				code	31
Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates	Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou				code	31
Multi-Aspect Streaming Tensor Completion	Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu				code	31
Learning Certifiably Optimal Rule Lists	Elaine Angelino, Nicholas LarusStone, Daniel Alabi, Margo I. Seltzer, Cynthia Rudin				code	31
Structural Deep Brain Network Mining	Shen Wang, Lifang He, Bokai Cao, ChunTa Lu, Philip S. Yu, Ann B. Ragin				code	31
FIRST: Fast Interactive Attributed Subgraph Matching	Boxin Du, Si Zhang, Nan Cao, Hanghang Tong				code	30
Compass: Spatio Temporal Sentiment Analysis of US Election What Twitter Says!	Debjyoti Paul, Feifei Li, Murali Krishna Teja, Xin Yu, Richie Frost				code	30
Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources	Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang				code	30
Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery	Hoang Anh Dau, Eamonn J. Keogh				code	29
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams	Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos				code	29
Fast Enumeration of Large k-Plexes	Alessio Conte, Donatella Firmani, Caterina Mordente, Maurizio Patrignani, Riccardo Torlone				code	29
SPARTan: Scalable PARAFAC2 for Large & Sparse Data	Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun				code	29
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts	Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang				code	27
EmbedJoin: Efficient Edit Similarity Joins via Embeddings	Haoyu Zhang, Qin Zhang				code	27
MOLIERE: Automatic Biomedical Hypothesis Generation System	Justin Sybrandt, Michael Shtutman, Ilya Safro				code	27
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial	Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi				code	26
Post Processing Recommender Systems for Diversity	Arda Antikacioglu, R. Ravi				code	25
Prognosis and Diagnosis of Parkinson's Disease Using Multi-Task Learning	Saba Emrani, Anya McGuirk, Wei Xiao				code	25
Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing	Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang				code	25
Unsupervised Feature Selection in Signed Social Networks	Kewei Cheng, Jundong Li, Huan Liu				code	25
Detecting Network Effects: Randomizing Over Randomized Experiments	Martin Saveski, Jean PougetAbadie, Guillaume SaintJacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edoardo M. Airoldi				code	25
Contextual Spatial Outlier Detection with Metric Learning	Guanjie Zheng, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li				code	25
Optimized Risk Scores	Berk Ustun, Cynthia Rudin				code	24
FLAP: An End-to-End Event Log Analysis Platform for System Management	Tao Li, Yexi Jiang, Chunqiu Zeng, Bin Xia, Zheng Liu, Wubai Zhou, Xiaolong Zhu, Wentao Wang, Liang Zhang, Jun Wu, Li Xue, Dewei Bao				code	24
Developing a Comprehensive Framework for Multimodal Feature Extraction	Quinten McNamara, Alejandro de la Vega, Tal Yarkoni				code	24
Efficient Correlated Topic Modeling with Topic Embedding	Junxian He, Zhiting Hu, Taylor BergKirkpatrick, Ying Huang, Eric P. Xing				code	23
Discovering Reliable Approximate Functional Dependencies	Panagiotis Mandros, Mario Boley, Jilles Vreeken				code	23
Distributed Multi-Task Relationship Learning	Sulin Liu, Sinno Jialin Pan, Qirong Ho				code	23
Deep Embedding Forest: Forest-based Serving with Deep Embedding Features	Jie Zhu, Ying Shan, J. C. Mao, Dong Yu, Holakou Rahmanian, Yi Zhang				code	23
Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers	Aman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims				code	23
Accelerating Innovation Through Analogy Mining	Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf				code	23
Incremental Dual-memory LSTM in Land Cover Prediction	Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar				code	23
Automatic Synonym Discovery with Knowledge Bases	Meng Qu, Xiang Ren, Jiawei Han				code	23
Achieving Non-Discrimination in Data Release	Lu Zhang, Yongkai Wu, Xintao Wu				code	22
Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction	Alejandro Mottini, Rodrigo AcunaAgost				code	22
Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem	Shalini Ghosh, Ariyam Das, Phillip A. Porras, Vinod Yegneswaran, Ashish Gehani				code	22
PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency	Hwanjun Song, JaeGil Lee, WookShin Han				code	21
DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks	Zi Yin, Kenghao Chang, Ruofei Zhang				code	21
Linearized GMM Kernels and Normalized Random Fourier Features	Ping Li				code	20
STAR: A System for Ticket Analysis and Resolution	Wubai Zhou, Wei Xue, Ramesh Baral, Qing Wang, Chunqiu Zeng, Tao Li, Jian Xu, Zheng Liu, Larisa Shwartz, Genady Ya. Grabarnik				code	20
Resolving the Bias in Electronic Medical Records	Kaiping Zheng, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, James Wei Luen Yip				code	19
Clustering Individual Transactional Data for Masses of Users	Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi				code	19
No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods	Jingyuan Wang, Chao Chen, Junjie Wu, Zhang Xiong				code	19
Large Scale Sentiment Learning with Limited Labels	Vasileios Iosifidis, Eirini Ntoutsi				code	19
Predicting Clinical Outcomes Across Changing Electronic Health Record Systems	Jen J. Gong, Tristan Naumann, Peter Szolovits, John V. Guttag				code	18
Multi-Modality Disease Modeling via Collective Deep Matrix Factorization	Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou				code	17
LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace	Fedor Borisyuk, Liang Zhang, Krishnaram Kenthapadi				code	17
Discovering Pollution Sources and Propagation Patterns in Urban Area	Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen				code	17
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks	Yu Shi, PoWei Chan, Honglei Zhuang, Huan Gui, Jiawei Han				code	16
On Finding Socially Tenuous Groups for Online Social Networks	ChihYa Shen, LiangHao Huang, DeNian Yang, HongHan Shuai, WangChien Lee, MingSyan Chen				code	16
Formative Essay Feedback Using Predictive Scoring Models	Bronwyn Woods, David Adamson, Shayne Miel, Elijah Mayfield				code	16
Quick Access: Building a Smart Experience for Google Drive	Sandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Julian Gibbons, Alan Green, Alexandre Mah, Michael Smith, Divanshu Garg, Cayden Meyer, Reuben Kan				code	16
Revisiting Power-law Distributions in Spectra of Real World Networks	Nicole Eikmeier, David F. Gleich				code	15
Recurrent Poisson Factorization for Temporal Recommendation	Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee				code	15
Optimization Beyond Prediction: Prescriptive Price Optimization	Shinji Ito, Ryohei Fujimaki				code	15
A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection	Reuven Cohen, Liran Katzir, Aviv Yehezkel				code	14
Unsupervised Network Discovery for Brain Imaging Data	Zilong Bai, Peter B. Walker, Anna E. Tschiffely, Fei Wang, Ian Davidson				code	14
Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites	Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He				code	14
Convex Factorization Machine for Toxicogenomics Prediction	Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang				code	14
Distributed Local Outlier Detection in Big Data	Yizhou Yan, Lei Cao, Caitlin Kuhlman, Elke A. Rundensteiner				code	14
Similarity Forests	Saket Sathe, Charu C. Aggarwal				code	13
Scalable Top-n Local Outlier Detection	Yizhou Yan, Lei Cao, Elke A. Rundensteiner				code	13
Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity	Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu				code	13
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks	HengTze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie				code	12
Towards an Optimal Subspace for K-Means	Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm				code	12
Statistical Emerging Pattern Mining with Multiple Testing Correction	Junpei Komiyama, Masakazu Ishihata, Hiroki Arimura, Takashi Nishibayashi, Shinichi Minato				code	12
"The Leicester City Fairytale?": Utilizing New Soccer Analytics Tools to Compare Performance in the 15/16 & 16/17 EPL Seasons	Héctor Ruiz, Paul Power, Xinyu Wei, Patrick Lucey				code	12
The Fake vs Real Goods Problem: Microscopy and Machine Learning to the Rescue	Ashlesh Sharma, Vidyuth Srinivasan, Vishal Kanchan, Lakshminarayanan Subramanian				code	11
Tracking the Dynamics in Crowdfunding	Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu				code	11
Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks	Yuxiao Dong, Reid A. Johnson, Jian Xu, Nitesh V. Chawla				code	11
Structural Event Detection from Log Messages	Fei Wu, Pranay Anchuri, Zhenhui Li				code	11
A Data Mining Framework for Valuing Large Portfolios of Variable Annuities	Guojun Gan, Jimmy Xiangji Huang				code	11
MARAS: Signaling Multi-Drug Adverse Reactions	Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner, Lei Cao				code	11
Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff	Vijay Manikandan Janakiraman, Bryan L. Matthews, Nikunj C. Oza				code	11
A Data-driven Process Recommender Framework	Sen Yang, Xin Dong, Leilei Sun, Yichen Zhou, Richard A. Farneth, Hui Xiong, Randall S. Burd, Ivan Marsic				code	10
Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data	Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga				code	10
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning	Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang				code	10
Inferring the Strength of Social Ties: A Community-Driven Approach	Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis				code	10
Luck is Hard to Beat: The Difficulty of Sports Prediction	Raquel Y. S. Aoki, Renato Martins Assunção, Pedro O. S. Vaz de Melo				code	10
A Data Science Approach to Understanding Residential Water Contamination in Flint	Alex Chojnacki, Chengyu Dai, Arya Farahi, Guangsha Shi, Jared Webb, Daniel T. Zhang, Jacob D. Abernethy, Eric M. Schwartz				code	10
Anarchists, Unite: Practical Entropy Approximation for Distributed Streams	Moshe Gabel, Daniel Keren, Assaf Schuster				code	9
Bolt: Accelerated Data Mining with Fast Vector Compression	Davis W. Blalock, John V. Guttag				code	9
End-to-end Learning for Short Text Expansion	Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei				code	9
RUSH!: Targeted Time-limited Coupons via Purchase Forecasts	Emaad A. Manzoor, Leman Akoglu				code	9
Retrospective Higher-Order Markov Processes for User Trails	Tao Wu, David F. Gleich				code	8
Deep Design: Product Aesthetics for Heterogeneous Markets	Yanxin Pan, Alexander Burnap, Jeffrey Hartley, Richard Gonzalez, Panos Y. Papalambros				code	8
Robust Top-k Multiclass SVM for Visual Category Recognition	Xiaojun Chang, Yaoliang Yu, Yi Yang				code	8
The Co-Evolution Model for Social Network Evolving and Opinion Migration	Yupeng Gu, Yizhou Sun, Jianxi Gao				code	8
BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency	Yin Lou, Mikhail Obukhov				code	8
Big Data in Climate: Opportunities and Challenges for Machine Learning	Anuj Karpatne, Vipin Kumar				code	7
A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics	Linyun Yu, Peng Cui, Chaoming Song, Tianyang Zhang, Shiqiang Yang				code	7
Collecting and Analyzing Millions of mHealth Data Streams	Tom Quisel, Luca Foschini, Alessio Signorini, David C. Kale				code	7
Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics	Xiaoli Li, Jun Huan				code	7
Relay-Linking Models for Prominence and Obsolescence in Evolving Networks	Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti				code	7
Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models	Tianyi Wu, Shinya Sugawara, Kenji Yamanishi				code	7
Supporting Employer Name Normalization at both Entity and Cluster Level	Qiaoling Liu, Faizan Javed, Vachik S. Dave, Ankita Joshi				code	7
Contextual Motifs: Increasing the Utility of Motifs using Contextual Data	Ian Fox, Lynn Ang, Mamta Jaiswal, Rodica PopBusui, Jenna Wiens				code	6
Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping	Bin Gu, Guodong Liu, Heng Huang				code	6
Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization	Jinghui Chen, Quanquan Gu				code	6
Learning from Labeled and Unlabeled Vertices in Networks	Wei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm				code	6
Real-Time Optimization of Web Publisher RTB Revenues	Pedro Chahuara, Nicolas Grislain, Grégoire Jauvion, JeanMichel Renders				code	6
AESOP: Automatic Policy Learning for Predicting and Mitigating Network Service Impairments	Supratim Deb, Zihui Ge, Sastry Isukapalli, Sarat C. Puthenpura, Shobha Venkataraman, He Yan, Jennifer Yates				code	6
Large-scale Collaborative Ranking in Near-Linear Time	Liwei Wu, ChoJui Hsieh, James Sharpnack				code	5
Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping	Parikshit Shah, Akshay Soni, Troy Chevalier				code	5
A Practical Exploration System for Search Advertising	Parikshit Shah, Ming Yang, Sachidanand Alle, Adwait Ratnaparkhi, Ben Shahshahani, Rohit Chandra				code	5
Matching Restaurant Menus to Crowdsourced Food Data: A Scalable Machine Learning Approach	Hesam Salehian, Patrick D. Howell, Chul Lee				code	5
Discovering Enterprise Concepts Using Spreadsheet Tables	Keqian Li, Yeye He, Kris Ganjam				code	5
A Quasi-experimental Estimate of the Impact of P2P Transportation Platforms on Urban Consumer Patterns	Zhe Zhang, Beibei Li				code	5
Tripoles: A New Class of Relationships in Time Series Data	Saurabh Agrawal, Gowtham Atluri, Anuj Karpatne, William Haltom, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar				code	5
Sparse Compositional Local Metric Learning	Joseph St. Amand, Jun Huan				code	5
Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach	Peifeng Yin, Ping Luo, Taiga Nakamura				code	5
Visualizing Attributed Graphs via Terrain Metaphor	Yang Zhang, Yusu Wang, Srinivasan Parthasarathy				code	5
Ad Serving with Multiple KPIs	Brendan Kitts, Michael Krishnan, Ishadutta Yadav, Yongbo Zeng, Garrett Badeau, Andrew Potter, Sergey Tolkachov, Ethan Thornburg, Satyanarayana Reddy Janga				code	5
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes	Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi				code	5
Predicting Optimal Facility Location without Customer Locations	Emre Yilmaz, Sanem Elbasi, Hakan Ferhatosmanoglu				code	5
REMIX: Automated Exploration for Interactive Outlier Detection	Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong				code	4
An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis	Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang				code	4
Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines	Kosta Ristovski, Chetan Gupta, Kunihiko Harada, HsiuKhuern Tang				code	4
The Future of Data Integration	Renée J. Miller				code	4
What's Fair?	Cynthia Dwork				code	4
Designing AI at Scale to Power Everyday Life	Rajesh Parekh				code	4
The Future of Artificially Intelligent Assistants	Muthu Muthukrishnan, Andrew Tomkins, Larry P. Heck, Alborz Geramifard, Deepak Agarwal				code	4
Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods	Suhang Wang, Charu C. Aggarwal, Huan Liu				code	4
PNP: Fast Path Ensemble Method for Movie Design	Danai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos, Jean Bolot				code	4
Internet Device Graphs	Matthew Malloy, Paul Barford, Enis Ceyhun Alp, Jonathan Koller, Adria Jewell				code	4
Improved Degree Bounds and Full Spectrum Power Laws in Preferential Attachment Networks	Chen Avin, Zvi Lotker, Yinon Nahum, David Peleg				code	3
HoORaYs: High-order Optimization of Rating Distance for Recommender Systems	Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu				code	3
Behavior Informatics to Discover Behavior Insight for Active and Tailored Client Management	Longbing Cao				code	3
HyperLogLog Hyperextended: Sketches for Concave Sublinear Frequency Statistics	Edith Cohen				code	3
Coresets for Kernel Regression	Yan Zheng, Jeff M. Phillips				code	3
Let's See Your Digits: Anomalous-State Detection using Benford's Law	Samuel Maurus, Claudia Plant				code	3
Learning to Count Mosquitoes for the Sterile Insect Technique	Yaniv Ovadia, Yoni Halpern, Dilip Krishnan, Josh Livni, Daniel Newburger, Ryan Poplin, Tiantian Zha, D. Sculley				code	3
Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention	Bin Tong, Martin Klinkigt, Makoto Iwayama, Toshihiko Yanase, Yoshiyuki Kobayashi, Anshuman Sahu, Ravigopal Vennelakanti				code	3
Local Algorithm for User Action Prediction Towards Display Ads	Hongxia Yang, Yada Zhu, Jingrui He				code	2
Unsupervised P2P Rental Recommendations via Integer Programming	Yanjie Fu, Guannan Liu, Mingfei Teng, Charu C. Aggarwal				code	2
Multi-task Function-on-function Regression with Co-grouping Structured Sparsity	Pei Yang, Qi Tan, Jingrui He				code	2
Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines	ChoJui Hsieh, Si Si, Inderjit S. Dhillon				code	2
Estimation of Recent Ancestral Origins of Individuals on a Large Scale	Ross E. Curtis, Ahna Reza Girshick				code	2
Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data	Zhaobin Kuang, Peggy L. Peissig, Vítor Santos Costa, Richard Maclin, David Page				code	2
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices	Hamid Dadkhahi, Benjamin M. Marlin				code	2
Three Principles of Data Science: Predictability, Stability and Computability	Bin Yu				code	2
Benchmarks and Process Management in Data Science: Will We Ever Get Over the Mess?	Usama M. Fayyad, Arno Candel, Eduardo Ariño de la Rubia, Szilárd Pafka, Anthony Chong, JeongYoon Lee				code	2
Is the Whole Greater Than the Sum of Its Parts?	Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler				code	2
Construction of Directed 2K Graphs	Bálint Tillman, Athina Markopoulou, Carter T. Butts, Minas Gjoka				code	2
Automatic Application Identification from Billions of Files	Kyle Soska, Christopher S. Gates, Kevin A. Roundy, Nicolas Christin				code	2
Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling	Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye				code	1
Spaceborne Data Enters the Mainstream	David Potere				code	1
Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data	Zhengming Xing, Sunshine Hillygus, Lawrence Carin				code	1
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources	Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan				code	1
A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications	Amr Ahmed, James Long, Daniel Silva, Yuan Wang				code	1
Industrial Machine Learning	Josh Bloom				code	0
Machine Learning Software in Practice: Quo Vadis?	Szilárd Pafka				code	0
SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression Analysis	Qiming Huang, Michael Zhu				code	0
Foreword to the Applied Data Science: Invited Talks Track at KDD-2017	Usama M. Fayyad, Evangelos Simoudis, Ashok Srivastava				code	0
More than the Sum of its Parts: Building Domino Data Lab	Eduardo Ariño de la Rubia				code	0
Mining Big Data in NeuroGenetics to Understand Muscular Dystrophy	Andy Berglund				code	0
Planning and Learning under Uncertainty: Theory and Practice	Jonathan P. How				code	0
It Takes More than Math and Engineering to Hit the Bullseye with Data	Paritosh Desai				code	0
Addressing Challenges with Big Data for Media Measurement	Mainak Mazumdar				code	0
Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting	GuoJun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo				code	0