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ACM International Conference on Knowledge Discovery and Data Mining

KDD

A*

CORE rank

CORE rank (raw)

A*

Acceptance rate

20.0% (2024 research track)

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

8,232

1994–2026

Papers per year

1994844 peak2026

KDD papers

8,232 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2019Ranking in Genealogy: Search Results Fusion at Ancestry.Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi
2019DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events.Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim, Ryosuke Shibasaki
2019Understanding the Role of Style in E-commerce Shopping.Hao Jiang, Aakash Sabharwal, Adam Henderson, Diane Hu, Liangjie Hong
2019Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar
2019Improving the Quality of Explanations with Local Embedding Perturbations.Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle
2019Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts.Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang
2019IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery.Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
2019A Free Energy Based Approach for Distance Metric Learning.Sho Inaba, Carl Tony Fakhry, Rahul V. Kulkarni, Kourosh Zarringhalam
2019Improving Subseasonal Forecasting in the Western U.S. with Machine Learning.Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey
2019Large-Scale Training Framework for Video Annotation.Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev
2019FDML: A Collaborative Machine Learning Framework for Distributed Features.Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou
2019Sherlock: A Deep Learning Approach to Semantic Data Type Detection.Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, agatay Demiralp, Csar A. Hidalgo
2019Sets2Sets: Learning from Sequential Sets with Neural Networks.Haoji Hu, Xiangnan He
2019Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning.J. Weston Hughes, Keng-hao Chang, Ruofei Zhang
2019Adversarial Learning on Heterogeneous Information Networks.Binbin Hu, Yuan Fang, Chuan Shi
2019Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
2019Graph Recurrent Networks With Attributed Random Walks.Xiao Huang, Qingquan Song, Yuening Li, Xia Hu
2019Contextual Fact Ranking and Its Applications in Table Synthesis and Compression.Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu
2019Learning From Networks: Algorithms, Theory, and Applications.Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019A Representation Learning Framework for Property Graphs.Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang
2019Active Deep Learning for Activity Recognition with Context Aware Annotator Selection.H. M. Sajjad Hossain, Nirmalya Roy
2019Off-policy Learning for Multiple Loggers.Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin
2019Learning Network-to-Network Model for Content-rich Network Embedding.Zhicheng He, Jie Liu, Na Li, Yalou Huang
2019Exploiting High Dimensionality in Big Data.David Heckerman
2019Adaptive-Halting Policy Network for Early Classification.Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
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