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
Most published authors
KDD papers
8,232 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2019 | Ranking in Genealogy: Search Results Fusion at Ancestry. | Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi |
| 2019 | DeepUrbanEvent: 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 |
| 2019 | Understanding the Role of Style in E-commerce Shopping. | Hao Jiang, Aakash Sabharwal, Adam Henderson, Diane Hu, Liangjie Hong |
| 2019 | Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? | Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar |
| 2019 | Improving the Quality of Explanations with Local Embedding Perturbations. | Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle |
| 2019 | Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. | Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang |
| 2019 | IRNet: 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 |
| 2019 | A Free Energy Based Approach for Distance Metric Learning. | Sho Inaba, Carl Tony Fakhry, Rahul V. Kulkarni, Kourosh Zarringhalam |
| 2019 | Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. | Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey |
| 2019 | Large-Scale Training Framework for Video Annotation. | Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev |
| 2019 | FDML: A Collaborative Machine Learning Framework for Distributed Features. | Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou |
| 2019 | Sherlock: 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 |
| 2019 | Sets2Sets: Learning from Sequential Sets with Neural Networks. | Haoji Hu, Xiangnan He |
| 2019 | Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning. | J. Weston Hughes, Keng-hao Chang, Ruofei Zhang |
| 2019 | Adversarial Learning on Heterogeneous Information Networks. | Binbin Hu, Yuan Fang, Chuan Shi |
| 2019 | Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. | Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla |
| 2019 | Graph Recurrent Networks With Attributed Random Walks. | Xiao Huang, Qingquan Song, Yuening Li, Xia Hu |
| 2019 | Contextual Fact Ranking and Its Applications in Table Synthesis and Compression. | Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu |
| 2019 | Learning 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 |
| 2019 | A Representation Learning Framework for Property Graphs. | Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang |
| 2019 | Active Deep Learning for Activity Recognition with Context Aware Annotator Selection. | H. M. Sajjad Hossain, Nirmalya Roy |
| 2019 | Off-policy Learning for Multiple Loggers. | Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin |
| 2019 | Learning Network-to-Network Model for Content-rich Network Embedding. | Zhicheng He, Jie Liu, Na Li, Yalou Huang |
| 2019 | Exploiting High Dimensionality in Big Data. | David Heckerman |
| 2019 | Adaptive-Halting Policy Network for Early Classification. | Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner |
4,076–4,100 of 8,232← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering
- A*VLDBInternational Conference on Very Large Databases