KDD 2019 - Anchorage

25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Anchorage 2019

KDD 2019, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

Categories

Top » Computer Science
Top » Data Science


Opening Ceremony
Keynote Talks
Applied Data Science Invited Speakers
15 views, 18:52 Earth Observations from a New Generation of Geostationary SatellitesEarth Observations from a New Generation of Geostationary Satellites Ramakrishna Nemani, Ramakrishna Nemani Ramakrishna Nemani, Ramakrishna Nemani
KDD Project Showcase
Project showcase program, Demos
Hands-On Tutorials
14 views, 1:41:30 Practice of Efficient Data Collection via Crowdsourcing at Large-ScalePractice of Efficient Data Collection via Crowdsourcing at Large-Scale Alexey Drutsa Alexey Drutsa
Applied Data Science Invited Talks
17 views, 40:52 From Code to Data: AI at Scale for Developer ProductivityFrom Code to Data: AI at Scale for Developer Productivity Neel Sundaresan, Neel Sundaresan Neel Sundaresan, Neel Sundaresan	25 views, 22:37 Analytics Journey Map: An approach enable to ML at scaleAnalytics Journey Map: An approach enable to ML at scale Ganesh Thondikulam Ganesh Thondikulam	10 views, 38:29 Facebook Disaster Maps: Aggregate Insights for Crisis Response & RecoveryFacebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery Paige Maas Paige Maas	11 views, 32:05 Exploiting High Dimensionality in Big DataExploiting High Dimensionality in Big Data David Heckerman David Heckerman	10 views, 40:03 Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine LearningFriends Don’t Let Friends Deploy Black-Box Models: The Importance of ... Rich Caruana Rich Caruana
16 views, 34:09 Product Ecosystem Optimization at LinkedInProduct Ecosystem Optimization at LinkedIn Romer Rosales Romer Rosales
Research Track Oral Presentations: RT10
Research Track Oral Presentations: RT11 Clustering and Visualization
Research Track Oral Presentations: RT12 Recommender Systems I
Applied Data Science Oral Presentations: ADS5 Scalability and Novel Applications
6 views, 18:56 Large-Scale Training Framework for Video AnnotationLarge-Scale Training Framework for Video Annotation Seong Jae Hwang Seong Jae Hwang	3 views, 19:14 A Data-Driven Approach for Multi-level Packing Problems in Manufacturing IndustryA Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry Lei Chen Lei Chen	2 views, 21:15 Actions Speak Louder than Goals: Valuing Player Actions in SoccerActions Speak Louder than Goals: Valuing Player Actions in Soccer Tom Decroos Tom Decroos	18 views, 17:41 DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop ImageryDeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop ... Stephen Lee Stephen Lee
Research Track Oral Presentations: RT13 Learning
Research Track Oral Presentations: RT14 Anomaly Detection
Research Track Oral Presentations: RT1 Neural Networks
27 views, 17:29 Effective and Efficient Sports Play Retrieval with Deep Representation LearningEffective and Efficient Sports Play Retrieval with Deep Representation Learning Gao Cong Gao Cong 1 comment
Research Track Session RT15: Mining in Emerging Applications II
Applied Data Science Track Session ADS6: Environment and Sustainability
11 views, 19:45 Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data -- An Application to Climate PredictionNonparametric Mixture of Sparse Regressions on Spatio-Temporal Data -- An ... Yumin Liu Yumin Liu	8 views, 16:50 Deep Uncertainty Quantification: A Machine Learning Approach for Weather ForecastingDeep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting Bin Wang Bin Wang	32 views, 15:58 Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus DetectionTowards Sustainable Dairy Management - A Machine Learning Enhanced Method ... Kevin Fauvel Kevin Fauvel	5 views, 22:20 Precipitation Nowcasting with Satellite ImageryPrecipitation Nowcasting with Satellite Imagery Alexander Ganshin Alexander Ganshin	20 views, 10:45 AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018AccuAir: Winning Solution to Air Quality Prediction for KDD Cup ... Bohang Zheng Bohang Zheng 3 comments
APPLIED DATA SCIENCE INVITED TALKS
23 views, 38:13 Aligraph: A Comprehensive Graph Neural Network PlatformAligraph: A Comprehensive Graph Neural Network Platform Hongxia Yang, Hongxia Yang Hongxia Yang, Hongxia Yang	5 views, 35:39 Welfare Maximization in Online Two-sided MarketplacesWelfare Maximization in Online Two-sided Marketplaces Sreenivas Gollapudi Sreenivas Gollapudi	4 views, 36:22 Applications of AI/ML in Established and New IndustriesApplications of AI/ML in Established and New Industries Hassan Sawaf Hassan Sawaf	4 views, 34:26 Addressing Challenges in Data Science: Scale, Skill Sets and ComplexityAddressing Challenges in Data Science: Scale, Skill Sets and Complexity Joseph K. Bradley Joseph K. Bradley	8 views, 33:21 Towards ML Engineering with TensorFlow Extended (TFX)Towards ML Engineering with TensorFlow Extended (TFX) Kevin Haas, Konstantinos Katsiapis Kevin Haas, Konstantinos Katsiapis
7 views, 36:42 Role of Unified Graph Analysis Platforms for Smart CitiesRole of Unified Graph Analysis Platforms for Smart Cities Yinglong Xia Yinglong Xia
Research Track Session RT16: Machine Learning Themes I
Research Track Session RT17: Interpretability
Research Track Session RT2: Analyzing Sequential and Temporal Data
Research Track Session RT18: Recommender Systems II
Applied Data Science Track Session ADS7: Entity Extraction, Linking, and Search
15 views, 19:36 A Collaborative Learning Framework to Tag Refinement for Points of InterestA Collaborative Learning Framework to Tag Refinement for Points of ... Jingbo Zhou Jingbo Zhou	28 views, 18:25 Combining Decision Trees and Neural Networks forLearning-to-Rank in Personal SearchCombining Decision Trees and Neural Networks forLearning-to-Rank in Personal Search Pan Li Pan Li 1 comment	10 views, 19:07 Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent SearchFairness-Aware Ranking in Search & Recommendation Systems with Application to ... Sahin Geyik Sahin Geyik	9 views, 21:48 How to Invest my Time: Lessons from Human-in-the-Loop Entity ExtractionHow to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction Eduard Dragut Eduard Dragut	13 views, 14:37 OAG: Toward Linking Large-scale Heterogeneous Entity GraphsOAG: Toward Linking Large-scale Heterogeneous Entity Graphs Fanjin Zhang Fanjin Zhang
Applied Data Science Track Session ADS8: Sensor and Consumer Services
6 views, 19:16 Towards Identifying Impacted Users in Cellular ServicesTowards Identifying Impacted Users in Cellular Services Jia Wang, Jia Wang Jia Wang, Jia Wang	15 views, 18:07 Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep LearningAmbulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning Maxime Voisin Maxime Voisin	17 views, 17:31 Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported DataSequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported ... Dimitris Spathis Dimitris Spathis	2 views, 17:14 Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence DataLearning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence ... Jackson A Killian Jackson A Killian
Research Track Session RT19: Machine Learning Themes II
4 views, 11:12 Separated Trust Regions Policy Optimization MethodSeparated Trust Regions Policy Optimization Method Luobao Zou Luobao Zou
Research Track Session RT20: Online and Incremental Algorithms
Applied Data Science Track Session ADS9: E-commerce and Advertising
9 views, 19:24 SMOILE: A Shopper Marketing Optimization and Inverse Learning EngineSMOILE: A Shopper Marketing Optimization and Inverse Learning Engine Parshan Pakiman Parshan Pakiman 1 comment	5 views, 17:54 Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing PlatformTwo-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case ... Tom Sühr Tom Sühr	5 views, 20:18 Reserve Price Failure Rate Prediction with Header Bidding in Display AdvertisingReserve Price Failure Rate Prediction with Header Bidding in Display ... Chong Wang Chong Wang	7 views, 22:28 The Identification and Estimation of Direct and Indirect Effects in Online A/B Tests through Causal Mediation AnalysisThe Identification and Estimation of Direct and Indirect Effects in ... Xuan Yin Xuan Yin	11 views, 13:28 Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence MatchingPersonalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching Mathias Kraus Mathias Kraus
KDD CUP DAY
Research Track Session RT6: Network Science
Research Track Session RT3: Algorithmic Techniques
Applied Data Science Track Session ADS1: Auto-ML and Development Frameworks
14 views, 19:55 Auto-Keras: An Efficient Neural Architecture Search SystemAuto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Haifeng Jin	9 views, 16:08 Pythia: AI-assisted Code Completion SystemPythia: AI-assisted Code Completion System Alexey Svyatkovskiy Alexey Svyatkovskiy	25 views, 17:12 TF-Ranking: Scalable TensorFlow Library for Learning-to-RankTF-Ranking: Scalable TensorFlow Library for Learning-to-Rank Rama Kumar Pasumarthi Rama Kumar Pasumarthi	9 views, 19:56 Shrinkage Estimators in Online ExperimentsShrinkage Estimators in Online Experiments Drew Dimmery Drew Dimmery	8 views, 16:38 FDML: A Collaborative Machine Learning Framework for Distributed FeaturesFDML: A Collaborative Machine Learning Framework for Distributed Features Yaochen Hu Yaochen Hu
Research Track Session RT4: Embeddings I
Research Track Session RT5: Privacy and Policy Learning
10 views, 17:27 PrivPy: General and Scalable Privacy-Preserving Data MiningPrivPy: General and Scalable Privacy-Preserving Data Mining Wei Xu, Wei Xu Wei Xu, Wei Xu
Applied Data Science Track Session ADS2: Language Models and Text Mining
16 views, 18:56 Automatic Dialogue Summary Generation for Customer ServiceAutomatic Dialogue Summary Generation for Customer Service Peng Wang Peng Wang	40 views, 21:36 Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor DecompositionDetection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition Anil Yelundur Anil Yelundur	6 views, 19:52 Unsupervised Clinical Language TranslationUnsupervised Clinical Language Translation Wei-Hung Weng Wei-Hung Weng	31 views, 15:08 Gmail Smart Compose: Real-Time Assisted WritingGmail Smart Compose: Real-Time Assisted Writing Mia Xu Chen Mia Xu Chen	11 views, 17:57 Naranjo Question Answering using End-to-End Multi-task Learning ModelNaranjo Question Answering using End-to-End Multi-task Learning Model Bhanu Pratap Singh Rawat Bhanu Pratap Singh Rawat
Applied Data Science Track Session ADS3: Urbanism and Mobility
13 views, 17:27 DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big EventsDeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big ... Renhe Jiang Renhe Jiang	8 views, 23:25 A Deep Value-network Based Approach for Multi-Driver Order DispatchingA Deep Value-network Based Approach for Multi-Driver Order Dispatching Xiaocheng Tang Xiaocheng Tang	11 views, 18:16 Nostalgin: Extracting 3D City Models from Historical Image DataNostalgin: Extracting 3D City Models from Historical Image Data Amol Kapoor Amol Kapoor
Research Track Session RT7: Graph Neural Networks
Research Track Session RT8: Knowledge Extraction
Research Track Session RT9: Mining in Emerging Applications I
Applied Data Science Track Session ADS4: Real-Time and Online
13 views, 15:36 Time-Series Anomaly Detection Service at MicrosoftTime-Series Anomaly Detection Service at Microsoft Hansheng Ren Hansheng Ren	5 views, 15:52 Real-time On-Device Troubleshooting Recommendation for SmartphonesReal-time On-Device Troubleshooting Recommendation for Smartphones Keiichi Ochiai Keiichi Ochiai	5 views, 14:19 Real-time Attention Based Look-alike Model for Recommender SystemReal-time Attention Based Look-alike Model for Recommender System Yudan Liu Yudan Liu	33 views, 16:07 Anomaly Detection for an E-commerce Pricing SystemAnomaly Detection for an E-commerce Pricing System Jagdish Ramakrishnan Jagdish Ramakrishnan	4 views, 11:13 Online Amnestic DTW to allow Real-Time Golden Batch MonitoringOnline Amnestic DTW to allow Real-Time Golden Batch Monitoring Chin-Chia Michael Yeh Chin-Chia Michael Yeh
Social Impact Workshop
PROJECT SHOWCASE PROGRAM
Data Science in China
KDD Women's Lunch
Dissertation award
Data Science in India
KDD 2019 Closing Session

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Year

KDD 2019 - Anchorage

25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Anchorage 2019

Opening Ceremony

Keynote Talks

Applied Data Science Invited Speakers

KDD Project Showcase

Project showcase program, Demos

Hands-On Tutorials

Applied Data Science Invited Talks

Research Track Oral Presentations: RT10

Research Track Oral Presentations: RT11 Clustering and Visualization

Research Track Oral Presentations: RT12 Recommender Systems I

Applied Data Science Oral Presentations: ADS5 Scalability and Novel Applications

Research Track Oral Presentations: RT13 Learning

Research Track Oral Presentations: RT14 Anomaly Detection

Research Track Oral Presentations: RT1 Neural Networks

Research Track Session RT15: Mining in Emerging Applications II

Applied Data Science Track Session ADS6: Environment and Sustainability

APPLIED DATA SCIENCE INVITED TALKS

Research Track Session RT16: Machine Learning Themes I

Research Track Session RT17: Interpretability

Research Track Session RT2: Analyzing Sequential and Temporal Data

Research Track Session RT18: Recommender Systems II

Applied Data Science Track Session ADS7: Entity Extraction, Linking, and Search

Applied Data Science Track Session ADS8: Sensor and Consumer Services

Research Track Session RT19: Machine Learning Themes II

Research Track Session RT20: Online and Incremental Algorithms

Applied Data Science Track Session ADS9: E-commerce and Advertising

KDD CUP DAY

Research Track Session RT6: Network Science

Research Track Session RT3: Algorithmic Techniques

Applied Data Science Track Session ADS1: Auto-ML and Development Frameworks

Research Track Session RT4: Embeddings I

Research Track Session RT5: Privacy and Policy Learning

Applied Data Science Track Session ADS2: Language Models and Text Mining

Applied Data Science Track Session ADS3: Urbanism and Mobility

Research Track Session RT7: Graph Neural Networks

Research Track Session RT8: Knowledge Extraction

Research Track Session RT9: Mining in Emerging Applications I

Applied Data Science Track Session ADS4: Real-Time and Online

Social Impact Workshop

PROJECT SHOWCASE PROGRAM

Data Science in China

KDD Women's Lunch

Dissertation award

Data Science in India

KDD 2019 Closing Session

Write your own review or comment: