KDD 2018 - London

24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London 2018

KDD 2018, 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 & Innovation Award Talk
430 views, 1:09:26 KDD 2018 Opening SessionKDD 2018 Opening Session Faisal Farooq, Yike Guo, Jie Tang Faisal Farooq, Yike Guo, Jie Tang	386 views, 34:53 Innovation Talk From rule mining and sentiment analysis to lifelong learningFrom rule mining and sentiment analysis to lifelong learning Bing Liu Bing Liu	289 views, 07:45 Intuit - powering prosperityIntuit - powering prosperity Chu Cheng Hsieh Chu Cheng Hsieh
Keynote Talks
853 views, 1:09:52 Data for goodData for good Jeannette M. Wing Jeannette M. Wing	1140 views, 57:01 Data Science for Financial ApplicationsData Science for Financial Applications David Hand David Hand	630 views, 1:04:39 Market Design and Computerized MarketplacesMarket Design and Computerized Marketplaces Alvin E. Roth Alvin E. Roth	1122 views, 1:14:07 On Big Data Learning for Small Data ProblemsOn Big Data Learning for Small Data Problems Yee Whye Teh Yee Whye Teh
KDD Buisness Presentation
413 views, 40:20 KDD business presentationKDD business presentation Jian Pei, Michael Zeller, et al. Jian Pei, Michael Zeller, Rayid Ghani, Charu Aggarwal, Chih-Jen Lin, Ankur M. Teredesai, Vipin Kumar
SIGKDD 2018 Dissertation Award
353 views, 38:40 Mininig entity and relation structures from textMininig entity and relation structures from text Xiang Ren Xiang Ren	323 views, 32:34 Probabilistic graphical models for credibility analysis in evolving online communities Probabilistic graphical models for credibility analysis in evolving online communities Subhabrata Mukherjee Subhabrata Mukherjee	319 views, 33:09 Characterization and detection of malicious behavior on the webCharacterization and detection of malicious behavior on the web Srijan Kumar Srijan Kumar
KDD 2018 Plenary Panel
1038 views, 1:52:44 KDD Plenary Panel: Societal Impact of Data Science and Artificial IntelligenceKDD Plenary Panel: Societal Impact of Data Science and Artificial ... Foster Provost, James Hodson, et al. Foster Provost, James Hodson, Jeannette M. Wing, Qiang Yang, Jennifer Neville
Applied Data Science Invited Talks, Commerce and Financial Applications
1334 views, 28:23 Data Science at Flipkart - An Indian E-Commerce companyData Science at Flipkart - An Indian E-Commerce company Mayur Datar Mayur Datar	599 views, 37:27 Humans, Jobs, and the Economy: The Future of Finance in the Age of Big DataHumans, Jobs, and the Economy: The Future of Finance in ... James Hodson James Hodson	733 views, 33:33 Computational Advertising at ScaleComputational Advertising at Scale Suju Rajan Suju Rajan 1 comment
Applied Data Science Invited Talks, Consumer Internet Applications
495 views, 35:27 Building Nearline Contextual Recommendations for Active Communities on LinkedInBuilding Nearline Contextual Recommendations for Active Communities on LinkedIn Hema Raghavan Hema Raghavan 1 comment	821 views, 39:54 The Pinterest Approach to Machine LearningThe Pinterest Approach to Machine Learning Grace Huang Grace Huang 1 comment	1071 views, 35:35 Challenges and Innovations in Building a Product Knowledge GraphChallenges and Innovations in Building a Product Knowledge Graph Luna Dong Luna Dong
Applied Data Science Invited Talks, Data Science Infrastructure
963 views, 33:00 SysML: On System and Algorithm co-design and Automatic Machine LearningSysML: On System and Algorithm co-design and Automatic Machine Learning Eric P. Xing Eric P. Xing	1281 views, 35:32 Algorithms, Data, Hardware and Tools - a Perfect StormAlgorithms, Data, Hardware and Tools - a Perfect Storm Edo Liberty, Alex Smola Edo Liberty, Alex Smola	903 views, 32:27 Software 2.0 and Snorkel: Beyond Hand-Labeled DataSoftware 2.0 and Snorkel: Beyond Hand-Labeled Data Christopher Ré Christopher Ré 1 comment
Applied Data Science Invited Talks, Novel Applications
700 views, 25:35 Planet-Scale Land Cover Classification With FPGAsPlanet-Scale Land Cover Classification With FPGAs Joseph Sirosh Joseph Sirosh	1210 views, 28:23 Data Science and Entertainment ProductionData Science and Entertainment Production Jen Walraven Jen Walraven	790 views, 34:15 The U.S. Census Bureau Adopts Differential PrivacyThe U.S. Census Bureau Adopts Differential Privacy John Abowd John Abowd
Applied Data Science Panel
425 views, 1:24:46 Who is a Data Scientist? Defining the Analytics Profession and Cutting Out the Hype and ConfusionWho is a Data Scientist? Defining the Analytics Profession and ... Usama Fayyad, Hamit Hamutçu, et al. Usama Fayyad, Hamit Hamutçu, Ravi Kumar, Kjersten Moody, Claudia Perlich, Jeannette M. Wing, Dragomir Yankov, Narendra Mulani
Applied Data Science Track Session (ADS1) Commerce and Profiling
621 views, 12:18 I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social ApplicationI Know You'll Be Back: Interpretable New User Clustering and ... Carl Yang Carl Yang	488 views, 17:08 Perceive Your Users in Depth: Learning Universal User Representations from Multiple E‑commerce TasksPerceive Your Users in Depth: Learning Universal User Representations from ... Yabo Ni Yabo Ni	558 views, 15:08 E‑tail Product Return Prediction via Hypergraph‑based Local Graph CutE‑tail Product Return Prediction via Hypergraph‑based Local Graph Cut Yada Zhu Yada Zhu	675 views, 13:31 OpenTag: Open Attribute Value Extraction from Product ProfilesOpenTag: Open Attribute Value Extraction from Product Profiles Subhabrata Mukherjee Subhabrata Mukherjee	557 views, 18:31 Learning and Transferring IDs Representation in E‑commerceLearning and Transferring IDs Representation in E‑commerce Kui Zhao Kui Zhao
Applied Data Science Track Session (ADS2) Planning and Forecasting in Finance and Commerce
477 views, 18:01 Large‑Scale Order Dispatch in On‑Demand Ride‑Hailing Platforms: A Learning and Planning ApproachLarge‑Scale Order Dispatch in On‑Demand Ride‑Hailing Platforms: A Learning and ... Zhe Xu Zhe Xu	468 views, 17:06 Customized Regression Model for Airbnb Dynamic PricingCustomized Regression Model for Airbnb Dynamic Pricing Peng Ye Peng Ye	508 views, 16:22 Audience Size Forecasting: Fast and Smart Budget Planning for Media BuyersAudience Size Forecasting: Fast and Smart Budget Planning for Media ... Yeming Shi Yeming Shi	344 views, 16:38 Optimization of a SSP’s Header Bidding Strategy using Thompson SamplingOptimization of a SSP’s Header Bidding Strategy using Thompson Sampling Nicolas Grislain Nicolas Grislain	538 views, 18:29 Applying the Delta method in metric analytics: A practical guide with novel ideasApplying the Delta method in metric analytics: A practical guide ... Jiannan Lu Jiannan Lu
Applied Data Science Track Session (ADS3) Ranking and Making Recommendations
512 views, 21:10 Online Parameter Selection for Web-based Ranking ProblemsOnline Parameter Selection for Web-based Ranking Problems Deepak Agarwal Deepak Agarwal	369 views, 14:33 Near Real‑time Optimization of Activity‑based NotificationsNear Real‑time Optimization of Activity‑based Notifications Yan Gao Yan Gao	757 views, 19:19 Real‑time Personalization using Embeddings for Search Ranking at AirbnbReal‑time Personalization using Embeddings for Search Ranking at Airbnb Mihajlo Grbovic Mihajlo Grbovic	871 views, 15:59 Graph Convolutional Neural Networks for Web‑Scale Recommender SystemsGraph Convolutional Neural Networks for Web‑Scale Recommender Systems Ruining He Ruining He	566 views, 13:38 Q&R: A Two‑Stage Approach toward Interactive RecommendationQ&R: A Two‑Stage Approach toward Interactive Recommendation Alex Beutel Alex Beutel
Applied Data Science Track Session (ADS4) Urban Planning
543 views, 20:16 WattHome: A Data‑driven Approach for Energy Efficiency Analytics at City‑scaleWattHome: A Data‑driven Approach for Energy Efficiency Analytics at City‑scale Srinivasan Iyengar Srinivasan Iyengar	398 views, 21:28 Towards Station‑Level Demand Prediction for Effective Rebalancing in Bike‑Sharing SystemsTowards Station‑Level Demand Prediction for Effective Rebalancing in Bike‑Sharing Systems Daniel Aloise Daniel Aloise	551 views, 14:34 Du‑Parking: Spatio‑Temporal Big Data Tells You Realtime Parking AvailabilityDu‑Parking: Spatio‑Temporal Big Data Tells You Realtime Parking Availability Yuecheng Rong Yuecheng Rong	418 views, 22:09 Detecting Vehicle Illegal Parking Events using Sharing Bikes' TrajectoriesDetecting Vehicle Illegal Parking Events using Sharing Bikes' Trajectories Tianfu He Tianfu He	386 views, 20:09 Where Will Dockless Shared Bikes be Stacked? ‑‑‑ Parking Hotspots Detection in a New CityWhere Will Dockless Shared Bikes be Stacked? ‑‑‑ Parking Hotspots ... Zhaoyang Liu Zhaoyang Liu
Applied Data Science Track Session (ADS5) Safety
853 views, 16:16 Using Machine Learning to Assess the Risk of and Prevent Water Main BreaksUsing Machine Learning to Assess the Risk of and Prevent ... Avishek Kumar Avishek Kumar	889 views, 18:10 Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic ThresholdingDetecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding Kyle Hundman Kyle Hundman	745 views, 16:16 Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance LearningExplaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning Vijay Manikandan Janakiraman, Kamalika Das Vijay Manikandan Janakiraman, Kamalika Das	558 views, 21:12 ActiveRemediation: The Search for Lead Pipes in Flint, MichiganActiveRemediation: The Search for Lead Pipes in Flint, Michigan Alex Chojnacki Alex Chojnacki	834 views, 16:11 A Dynamic Pipeline for Spatio-Temporal Fire Risk PredictionA Dynamic Pipeline for Spatio-Temporal Fire Risk Prediction Jessica Lee Jessica Lee
Applied Data Science Track Session (ADS6) Texts, Images and Videos
744 views, 17:35 Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at ScaleCorpus Conversion Service: A Machine Learning Platform to Ingest Documents ... Peter Staar Peter Staar	685 views, 17:50 Rare Query Expansion Through Generative Adversarial Networks in Search AdvertisingRare Query Expansion Through Generative Adversarial Networks in Search Advertising Mu-Chu Lee Mu-Chu Lee	764 views, 15:54 Collaborative Deep Metric Learning for Video UnderstandingCollaborative Deep Metric Learning for Video Understanding Joonseok Lee Joonseok Lee	588 views, 14:41 Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the LoopName Disambiguation in AMiner: Clustering, Maintenance, and Human in the ... Yutao Zhang Yutao Zhang	479 views, 14:48 Rosetta: Large Scale System for Text Detection and Recognition in ImagesRosetta: Large Scale System for Text Detection and Recognition in ... Fedor Borisyuk Fedor Borisyuk
Applied Data Science Track Session (ADS7) Medicine and Healthcare
634 views, 18:16 TATC: Predicting Alzheimer's Disease with Actigraphy DataTATC: Predicting Alzheimer's Disease with Actigraphy Data Jia Li Jia Li	483 views, 16:06 Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern‑Based Regularization and VisualizationEstimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern‑Based Regularization ... Hiroki Sugiura Hiroki Sugiura	415 views, 21:09 Accelerating Prototype‑Based Drug Discovery using Conditional Diversity NetworksAccelerating Prototype‑Based Drug Discovery using Conditional Diversity Networks Shahar Harel Shahar Harel	374 views, 21:02 Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE ProjectReleasing eHealth Analytics into the Wild: Lessons Learnt from the ... Tom Diethe Tom Diethe	455 views, 21:26 Detection of Apathy in Alzheimer Patients by Analysing Visual Scanning Behaviour with RNNsDetection of Apathy in Alzheimer Patients by Analysing Visual Scanning ... Jonathan Chung Jonathan Chung
Applied Data Science Track Session (ADS8) Natural Sciences, Sport, and the Application of Controlled Experiments
578 views, 21:15 False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled ExperimentsFalse Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online ... Yuxiang Xie Yuxiang Xie	393 views, 17:27 Winner's Curse: Bias Estimation for Total Effects of Features in Online Controlled ExperimentsWinner's Curse: Bias Estimation for Total Effects of Features in ... Minyong R. Lee Minyong R. Lee	549 views, 20:22 Automatic Discovery of Tactics in Spatio‑Temporal Soccer Match DataAutomatic Discovery of Tactics in Spatio‑Temporal Soccer Match Data Tom Decroos Tom Decroos	750 views, 18:43 Using Rule‑Based Labels for Weak Supervised LearningUsing Rule‑Based Labels for Weak Supervised Learning Garrett B. Goh Garrett B. Goh	585 views, 20:37 PrePeP – A Tool for the Identification and Characterization of Pan Assay Interference CompoundsPrePeP – A Tool for the Identification and Characterization of ... Maksim Koptelov Maksim Koptelov
Research Track Session (RT1) Deep Learning I
687 views, 17:51 Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative DiseasesSubspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases Mengying Sun Mengying Sun	394 views, 14:14 Voxel Deconvolutional Networks for 3D Brain Image LabelingVoxel Deconvolutional Networks for 3D Brain Image Labeling Yongjun Chen Yongjun Chen	542 views, 16:21 Deep Variational Network Embedding in Wasserstein SpaceDeep Variational Network Embedding in Wasserstein Space Dingyuan Zhu Dingyuan Zhu	719 views, 14:50 Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form SolutionExact and Consistent Interpretation for Piecewise Linear Neural Networks: A ... Lingyang Chu Lingyang Chu 1 comment	710 views, 15:08 Towards Explanation of DNN‑based Prediction with Guided Feature InversionTowards Explanation of DNN‑based Prediction with Guided Feature Inversion Mengnan Du Mengnan Du
Research Track Session (RT2) Reinforcement Learning
644 views, 17:27 Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement LearningEfficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning Kaixiang Lin Kaixiang Lin	580 views, 17:08 Investor‑Imitator: A Framework for Trading Knowledge ExtractionInvestor‑Imitator: A Framework for Trading Knowledge Extraction Yi Ding Yi Ding	334 views, 18:04 Transcribing Content from Structural Images with Spotlight MechanismTranscribing Content from Structural Images with Spotlight Mechanism Yu Yin Yu Yin	626 views, 18:21 IntelliLight: a Reinforcement Learning Approach for Intelligent Traffic Light ControlIntelliLight: a Reinforcement Learning Approach for Intelligent Traffic Light Control Guanjie Zheng Guanjie Zheng	719 views, 14:25 Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment RecommendationSupervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment ... Lu Wang Lu Wang
Research Track Session (RT3) Matrices, Kernels and Sketches
565 views, 19:49 Active Feature Acquisition with supervised Matrix CompletitionActive Feature Acquisition with supervised Matrix Completition Sheng-Jun Huang Sheng-Jun Huang	474 views, 17:53 Discrete Ranking based Matrix Factorization with Self Paced LearningDiscrete Ranking based Matrix Factorization with Self Paced Learning Yan Zhang Yan Zhang	478 views, 17:57 SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to PhenotypingSUSTain: Scalable Unsupervised Scoring for Tensors and its Application to ... Ioakim Perros Ioakim Perros	660 views, 14:50 Disturbance Grassmann Kernels for Subspace Based LearningDisturbance Grassmann Kernels for Subspace Based Learning Junyuan Hong Junyuan Hong	374 views, 21:53 Optimal Distributed Submodular Optimization via SketchingOptimal Distributed Submodular Optimization via Sketching Mohammadhossein Bateni Mohammadhossein Bateni
461 views, 17:06 High order Proximity Preserving Information Network HashingHigh order Proximity Preserving Information Network Hashing Defu Lian Defu Lian
Research Track Session (RT4) Temporal and Spatial Data Mining I
541 views, 19:42 A Dual Markov Chain Topic Model for Dynamic EnvironmentsA Dual Markov Chain Topic Model for Dynamic Environments Ayan Acharya Ayan Acharya	454 views, 16:24 Stock AssIstant: A Stock AI Assistant for Reliability Modeling of Stock CommentsStock AssIstant: A Stock AI Assistant for Reliability Modeling of ... Chen Zhang Chen Zhang 9 comments	551 views, 16:51 You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior AnalysisYou Are How You Drive: Peer and Temporal-Aware Representation Learning ... Jumbo Zhang Jumbo Zhang	640 views, 16:01 Exploring the Urban Region-of-Interest through the Analysis of Online Map Search QueriesExploring the Urban Region-of-Interest through the Analysis of Online Map ... Ying Sun Ying Sun	486 views, 18:27 Decoupled Learning for Factorial Marked Temporal Point ProcessesDecoupled Learning for Factorial Marked Temporal Point Processes Lu Wang Lu Wang
Research Track Session (RT5) Graph and Social Network I
527 views, 16:28 Graph Classification using Structural AttentionGraph Classification using Structural Attention John Boaz Lee John Boaz Lee	654 views, 20:21 SpotLight: Detecting Anomalies in Streaming GraphsSpotLight: Detecting Anomalies in Streaming Graphs Dhivya Eswaran Dhivya Eswaran	1094 views, 19:52 Adversarial Attacks on Neural Networks for Graph DataAdversarial Attacks on Neural Networks for Graph Data Daniel Zügner Daniel Zügner	514 views, 19:47 Multi-Round Influence MaximizationMulti-Round Influence Maximization Lichao Sun Lichao Sun	397 views, 21:27 EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph PropertiesEvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving ... Himchan Park Himchan Park
Research Track Session (RT6) Deep Learning II
409 views, 16:52 XiaoIce Band: A Melody and Arrangement Generation Framework for Pop MusicXiaoIce Band: A Melody and Arrangement Generation Framework for Pop ... Hongyuan Zhu Hongyuan Zhu	706 views, 16:01 Cost‑Effective Training of Deep CNNs with Active Model AdaptationCost‑Effective Training of Deep CNNs with Active Model Adaptation Sheng-Jun Huang Sheng-Jun Huang	715 views, 18:35 Smoothed Dilated Convolutions for Improved Dense PredictionSmoothed Dilated Convolutions for Improved Dense Prediction Zhengyang Wang Zhengyang Wang	674 views, 17:26 Learning Deep Network Representations with Adversarially Regularized AutoencodersLearning Deep Network Representations with Adversarially Regularized Autoencoders Wenchao Yu Wenchao Yu	736 views, 16:52 Deep r‑th Root Rank Supervised Joint Binary Embedding for Multivariate Time Series RetrievalDeep r‑th Root Rank Supervised Joint Binary Embedding for Multivariate ... Dongjin Song Dongjin Song
Research Track Session (RT7) Temporal and Spatial Data Mining II
513 views, 21:01 Geographical Hidden Markov Tree for Flood Extent MappingGeographical Hidden Markov Tree for Flood Extent Mapping Zhe Jiang Zhe Jiang	690 views, 19:33 Dynamic Bike Reposition: A Spatio‑Temporal Reinforcement Learning ApproachDynamic Bike Reposition: A Spatio‑Temporal Reinforcement Learning Approach Yexin Li Yexin Li	556 views, 21:20 Simultaneous Urban Region Function Discovery and Popularity Estimation Via an Infinite Urbanization Process ModelSimultaneous Urban Region Function Discovery and Popularity Estimation Via an ... Bang Zhang Bang Zhang	552 views, 19:55 REST: A Reference‑based Framework for Spatio‑temporal Trajectory CompressionREST: A Reference‑based Framework for Spatio‑temporal Trajectory Compression Yan Zhao Yan Zhao	569 views, 17:19 Efficient Similar Region Search with Deep Metric LearningEfficient Similar Region Search with Deep Metric Learning Yiding Liu Yiding Liu
Research Track Session (RT8) Graph and Social Network II
355 views, 16:55 Node Similarity with q-Grams for Real-World Labeled NetworksNode Similarity with q-Grams for Real-World Labeled Networks Alessio Conte Alessio Conte	446 views, 13:32 LARC: Learning Activity-Regularized Overlapping Communities Across TimeLARC: Learning Activity-Regularized Overlapping Communities Across Time Alexander Gorovits Alexander Gorovits	367 views, 19:46 NetLSD: Hearing the Shape of a GraphNetLSD: Hearing the Shape of a Graph Anton Tsitsulin Anton Tsitsulin	420 views, 16:46 Opinion Dynamics with Varying Susceptibility to PersuasionOpinion Dynamics with Varying Susceptibility to Persuasion Rediet Abebe Rediet Abebe	569 views, 18:51 FASTEN: Fast Sylvester Equation Solver for Graph MiningFASTEN: Fast Sylvester Equation Solver for Graph Mining Boxin Du Boxin Du
513 views, 16:30 Network Connectivity Optimization: Fundamental Limits and Effective AlgorithmsNetwork Connectivity Optimization: Fundamental Limits and Effective Algorithms Chen Chen Chen Chen
Research Track Session (RT9) Supervised Learning I
690 views, 16:32 Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory LearnersUnlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially ... Yao Zhou Yao Zhou	525 views, 18:26 Calibrated Multi‑Task LearningCalibrated Multi‑Task Learning Zhanxuan Hu Zhanxuan Hu	484 views, 22:10 Modeling Task Relationships in Multi‑task Learning with Multi‑gate Mixture‑of‑ExpertsModeling Task Relationships in Multi‑task Learning with Multi‑gate Mixture‑of‑Experts Jiaqi Ma Jiaqi Ma	438 views, 18:47 Complex Object Classification: A Multi‑Modal Multi‑Instance Multi‑Label Deep Network with Optimal TransportComplex Object Classification: A Multi‑Modal Multi‑Instance Multi‑Label Deep Network with ... Yang Yang Yang Yang	417 views, 19:19 Feedback‑Guided Anomaly Discovery via Online OptimizationFeedback‑Guided Anomaly Discovery via Online Optimization Md Amran Siddiqui Md Amran Siddiqui
Research Track Session (RT10) Recommenders I
390 views, 13:47 Leveraging Meta‑path based Context for Top N recommendation with Co‑attention mechanismLeveraging Meta‑path based Context for Top N recommendation with Co‑attention ... Binbin Hu Binbin Hu	366 views, 19:30 Efficient Attribute Recommendation with Probabilistic GuaranteeEfficient Attribute Recommendation with Probabilistic Guarantee Chi Wang Chi Wang	401 views, 20:05 Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender SystemRanking Distillation: Learning Compact Ranking Models With High Performance for ... Jiaxi Tang Jiaxi Tang	424 views, 18:46 Algorithms for Hiring and Outsourcing in the Online Labor MarketAlgorithms for Hiring and Outsourcing in the Online Labor Market Aris Anagnostopoulos Aris Anagnostopoulos 3 comments	457 views, 14:10 Multi‑Pointer Co‑Attention Networks for RecommendationMulti‑Pointer Co‑Attention Networks for Recommendation Yi Tay Yi Tay
Research Track Session (RT11) Representation and Embedding I
455 views, 15:33 Multi-Type Itemset Embedding for Learning Behaviour SuccessMulti-Type Itemset Embedding for Learning Behaviour Success Daheng Wang Daheng Wang	544 views, 24:47 Multi-Label Learning with Highly Incomplete Data via Collaborative EmbeddingMulti-Label Learning with Highly Incomplete Data via Collaborative Embedding Yufei Han Yufei Han	522 views, 18:29 Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier DetectionLearning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection Guansong Pang Guansong Pang	412 views, 18:48 Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous GraphsInteractive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs Zemin Liu Zemin Liu	513 views, 19:15 Concept-Bridges: Uncovering Bridges Based on Biomedical Concept EvolutionConcept-Bridges: Uncovering Bridges Based on Biomedical Concept Evolution Kishlay Jha Kishlay Jha
Research Track Session (RT12) Recommenders II
374 views, 18:42 Local Latent Space Models for Top-N RecommendationLocal Latent Space Models for Top-N Recommendation Evangelia Christakopoulou Evangelia Christakopoulou	669 views, 10:41 STAMP: Short‑Term Attention/Memory Priority Model for Session‑based RecommendationSTAMP: Short‑Term Attention/Memory Priority Model for Session‑based Recommendation Yifu Zeng Yifu Zeng	347 views, 14:49 Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing ParadigmMulti-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm Zeyang Ye Zeyang Ye	405 views, 15:50 Trajectory-driven Influential Billboard PlacementTrajectory-driven Influential Billboard Placement Ping Zhang Ping Zhang	583 views, 16:16 Offline Evaluation of Ranking Policies with Click ModelsOffline Evaluation of Ranking Policies with Click Models Shuai Li Shuai Li 2 comments
966 views, 18:38 xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender SystemsxDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Jianxun Lian Jianxun Lian
Research Track Session (RT13) Representation and Embedding II
499 views, 18:12 Hierarchical Taxonomy Aware Network EmbeddingHierarchical Taxonomy Aware Network Embedding Jianxin Ma Jianxin Ma	825 views, 16:49 Finding Similar Exercises in Online Education SystemsFinding Similar Exercises in Online Education Systems Qui Liu Qui Liu 10 comments	442 views, 15:48 Arbitrary-Order Proximity Preserved Network EmbeddingArbitrary-Order Proximity Preserved Network Embedding Ziwei Zhang Ziwei Zhang	546 views, 16:03 NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic NetworksNetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in ... Wenchao Yu Wenchao Yu	483 views, 17:47 Deep Recursive Network Embedding with Regular EquivalenceDeep Recursive Network Embedding with Regular Equivalence Ke Tu Ke Tu
617 views, 22:33 Embedding Temporal Network via Neighborhood FormationEmbedding Temporal Network via Neighborhood Formation Yuan Zuo Yuan Zuo
Research Track Session (RT14) Supervised Learning II
734 views, 20:14 Stable Prediction across Unknown EnvironmentsStable Prediction across Unknown Environments Kun Kuang Kun Kuang	488 views, 19:08 A Treatment Engine by Predicting Next‑Period PrescriptionsA Treatment Engine by Predicting Next‑Period Prescriptions Haoyu Yang Haoyu Yang	548 views, 18:27 Training Big Random Forests with Little ResourcesTraining Big Random Forests with Little Resources Fabian Gieseke Fabian Gieseke	672 views, 17:17 R2SDH: Robust Rotated Supervised Discrete HashingR2SDH: Robust Rotated Supervised Discrete Hashing Piotr Rudol Piotr Rudol	825 views, 20:03 Adversarial Detection with Model InterpretationAdversarial Detection with Model Interpretation Ninghao Liu Ninghao Liu
742 views, 21:03 Risk Prediction on Electronic Healthcare Records with Prior Medical KnowledgeRisk Prediction on Electronic Healthcare Records with Prior Medical Knowledge Fenglong Ma Fenglong Ma 1 comment
Research Track Session (RT15) Semi‑supervised and Transfer Learning
529 views, 20:28 Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution MatchingMulti-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching Changyin Du Changyin Du	924 views, 12:39 Learning Adversarial Networks for Semi-Supervised Text Classification via Policy GradientLearning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient Yan Li Yan Li	466 views, 16:51 Scalable Active Learning by Approximated Error ReductionScalable Active Learning by Approximated Error Reduction Weijie Fu Weijie Fu	529 views, 20:06 Learning Dynamics of Decision Boundaries without Additional Labeled DataLearning Dynamics of Decision Boundaries without Additional Labeled Data Atsutoshi Kumagai Atsutoshi Kumagai	515 views, 22:06 Towards mitigating the class-imbalance problem for partial label learningTowards mitigating the class-imbalance problem for partial label learning Jing Wang Jing Wang
Research Track Session (RT16) Unsupervised Learning I
648 views, 21:22 TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and ClusteringTaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and ... Chao Zhang Chao Zhang	462 views, 18:39 Discovering Non‑Redundant K‑means Clusterings in Optimal SubspacesDiscovering Non‑Redundant K‑means Clusterings in Optimal Subspaces Dominik Mautz Dominik Mautz	577 views, 17:09 Scalable k‑Means Clustering via Lightweight CoresetsScalable k‑Means Clustering via Lightweight Coresets Olivier Bachem Olivier Bachem	562 views, 19:06 TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi‑Sourced Text DataTextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi‑Sourced ... Fenglong Ma Fenglong Ma	448 views, 22:45 TruePIE: Discovering Reliable Patterns in Pattern‑Based Information ExtractionTruePIE: Discovering Reliable Patterns in Pattern‑Based Information Extraction Qi Li Qi Li
Research Track Session (RT17) Methodology I
354 views, 18:23 Count‑Min: Optimal Estimation and Tight Error Bounds using Empirical Error DistributionsCount‑Min: Optimal Estimation and Tight Error Bounds using Empirical Error ... Daniel Ting Daniel Ting	470 views, 18:39 Metric Learning from Probabilistic LabelsMetric Learning from Probabilistic Labels Mengdi Huai Mengdi Huai	359 views, 17:07 Sequences of SetsSequences of Sets Austin R. Benson Austin R. Benson	382 views, 17:58 A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality IndicesA Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & ... Till Speicher Till Speicher	326 views, 19:18 PCA by Determinant Optimization has no Spurious Local OptimaPCA by Determinant Optimization has no Spurious Local Optima Raphael Hauser Raphael Hauser
Research Track Session (RT18) Unsupervised Learning II
550 views, 16:52 Spectral Clustering of Large-scale Data by Directly Solving Normalized CutSpectral Clustering of Large-scale Data by Directly Solving Normalized Cut Xiaojun Chen Xiaojun Chen	465 views, 11:37 Multiview Clustering via Adaptively Weighted ProcrustesMultiview Clustering via Adaptively Weighted Procrustes Lai Tian Lai Tian	506 views, 21:01 Scalable Spectral Clustering Using Random Binning FeaturesScalable Spectral Clustering Using Random Binning Features Pin-Yu Chen Pin-Yu Chen	444 views, 18:34 Model-based Clustering of Short Text StreamsModel-based Clustering of Short Text Streams Daren Chao Daren Chao	522 views, 21:50 MiSoSouP: Mining Interesting Subgroups with Sampling and PseudodimensionMiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension Matteo Riondato Matteo Riondato
Research Track Session (RT19) Knowledge Discovery
516 views, 20:52 Dynamic Embeddings for User Profiling in TwitterDynamic Embeddings for User Profiling in Twitter Xiangliang Zhang Xiangliang Zhang 1 comment	526 views, 17:49 TINET: Learning Invariant Networks via Knowledge TransferTINET: Learning Invariant Networks via Knowledge Transfer Chen Luo Chen Luo	478 views, 17:57 Can Who‑Edits‑What Predict Edit SurvivalCan Who‑Edits‑What Predict Edit Survival Victor Kristof Victor Kristof 5 comments	410 views, 17:36 An Efficient Two‑Layer Mechanism for Privacy‑Preserving Truth DiscoveryAn Efficient Two‑Layer Mechanism for Privacy‑Preserving Truth Discovery Yaliang Li Yaliang Li	514 views, 20:43 Generalized Score Functions for Causal DiscoveryGeneralized Score Functions for Causal Discovery Biwei Huang Biwei Huang
592 views, 15:36 R‑VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question AnsweringR‑VQA: Learning Visual Relation Facts with Semantic Attention for Visual ... Pan Lu Pan Lu
Research Track Session (RT20) Methodology II
487 views, 17:31 Learning and Interpreting Complex Distributions in Empirical DataLearning and Interpreting Complex Distributions in Empirical Data Chengxi Zang Chengxi Zang	340 views, 16:26 New Robust Metric Learning Model Using Maximum Correntropy CriterionNew Robust Metric Learning Model Using Maximum Correntropy Criterion Jie Xu Jie Xu	505 views, 14:17 Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data WranglingData Diff: Interpretable, Executable Summaries of Changes in Distributions for ... James Geddes James Geddes	391 views, 16:39 Concentrated Differentially Private Gradient Descent with Adaptive per‑Iteration Privacy BudgetConcentrated Differentially Private Gradient Descent with Adaptive per‑Iteration Privacy Budget Jaewoo Lee Jaewoo Lee	349 views, 21:12 FAHES: A Robust Disguised Missing Values DetectorFAHES: A Robust Disguised Missing Values Detector Abdulhakim A. Qahtan Abdulhakim A. Qahtan
494 views, 18:30 HeavyGuardian: Separate and Guard Hot Items in Data StreamsHeavyGuardian: Separate and Guard Hot Items in Data Streams Junzhi Gong Junzhi Gong
KDD 2018 Closing Session
340 views, 13:27 KDD 2018 Closing SessionKDD 2018 Closing Session Yike Guo, Jie Tang Yike Guo, Jie Tang

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Topic taxonomy

Type of content

Language

Year

KDD 2018 - London

24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London 2018

Opening Ceremony & Innovation Award Talk

Keynote Talks

KDD Buisness Presentation

SIGKDD 2018 Dissertation Award

KDD 2018 Plenary Panel

Applied Data Science Invited Talks, Commerce and Financial Applications

Applied Data Science Invited Talks, Consumer Internet Applications

Applied Data Science Invited Talks, Data Science Infrastructure

Applied Data Science Invited Talks, Novel Applications

Applied Data Science Panel

Applied Data Science Track Session (ADS1) Commerce and Profiling

Applied Data Science Track Session (ADS2) Planning and Forecasting in Finance and Commerce

Applied Data Science Track Session (ADS3) Ranking and Making Recommendations

Applied Data Science Track Session (ADS4) Urban Planning

Applied Data Science Track Session (ADS5) Safety

Applied Data Science Track Session (ADS6) Texts, Images and Videos

Applied Data Science Track Session (ADS7) Medicine and Healthcare

Applied Data Science Track Session (ADS8) Natural Sciences, Sport, and the Application of Controlled Experiments

Research Track Session (RT1) Deep Learning I

Research Track Session (RT2) Reinforcement Learning

Research Track Session (RT3) Matrices, Kernels and Sketches

Research Track Session (RT4) Temporal and Spatial Data Mining I

Research Track Session (RT5) Graph and Social Network I

Research Track Session (RT6) Deep Learning II

Research Track Session (RT7) Temporal and Spatial Data Mining II

Research Track Session (RT8) Graph and Social Network II

Research Track Session (RT9) Supervised Learning I

Research Track Session (RT10) Recommenders I

Research Track Session (RT11) Representation and Embedding I

Research Track Session (RT12) Recommenders II

Research Track Session (RT13) Representation and Embedding II

Research Track Session (RT14) Supervised Learning II

Research Track Session (RT15) Semi‑supervised and Transfer Learning

Research Track Session (RT16) Unsupervised Learning I

Research Track Session (RT17) Methodology I

Research Track Session (RT18) Unsupervised Learning II

Research Track Session (RT19) Knowledge Discovery

Research Track Session (RT20) Methodology II

KDD 2018 Closing Session

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