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 |
|---|---|---|
| 2022 | Temporal Graph Learning for Financial World: Algorithms, Scalability, Explainability & Fairness. | Nitendra Rajput, Karamjit Singh |
| 2022 | Fair and Interpretable Models for Survival Analysis. | Md. Mahmudur Rahman, Sanjay Purushotham |
| 2022 | Reducing the Friction for Building Recommender Systems with Merlin. | Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer |
| 2022 | p-Meta: Towards On-device Deep Model Adaptation. | Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 2022 | Synthesising Audio Adversarial Examples for Automatic Speech Recognition. | Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma |
| 2022 | Importance Prioritized Policy Distillation. | Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma |
| 2022 | Characterizing Covid Waves via Spatio-Temporal Decomposition. | Kevin Quinn, Evimaria Terzi, Mark Crovella |
| 2022 | Evaluating Knowledge Graph Accuracy Powered by Optimized Human-machine Collaboration. | Yifan Qi, Weiguo Zheng, Liang Hong, Lei Zou |
| 2022 | Releasing Private Data for Numerical Queries. | Yuan Qiu, Wei Dong, Ke Yi, Bin Wu, Feifei Li |
| 2022 | External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. | Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu |
| 2022 | Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. | Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan |
| 2022 | Neural Bandit with Arm Group Graph. | Yunzhe Qi, Yikun Ban, Jingrui He |
| 2022 | Intelligent Request Strategy Design in Recommender System. | Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu |
| 2022 | What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? | Hangwei Qian, Tian Tian, Chunyan Miao |
| 2022 | Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. | Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang |
| 2022 | 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. | Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka |
| 2022 | Multi-objective Optimization of Notifications Using Offline Reinforcement Learning. | Prakruthi Prabhakar, Yiping Yuan, Guangyu Yang, Wensheng Sun, Ajith Muralidharan |
| 2022 | Visualization in Data Science VDS @ KDD 2022. | Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Mller, Adam Perer, Alexander Lex, Anamaria Crisan |
| 2022 | DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation. | Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar |
| 2022 | Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. | Xiong Peng, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han |
| 2022 | Compute Like Humans: Interpretable Step-by-step Symbolic Computation with Deep Neural Network. | Shuai Peng, Di Fu, Yong Cao, Yijun Liang, Gu Xu, Liangcai Gao, Zhi Tang |
| 2022 | Toolkit for Time Series Anomaly Detection. | Dhaval Patel, Dzung Phan, Markus Mueller, Amaresh Rajasekharan |
| 2022 | Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems. | Hima Patel, Shanmukha C. Guttula, Ruhi Sharma Mittal, Naresh Manwani, Laure Berti-quille, Abhijit Manatkar |
| 2022 | Downscaling Earth System Models with Deep Learning. | Sungwon Park, Karandeep Singh, Arjun Nellikkattil, Elke Zeller, Tung-Duong Mai, Meeyoung Cha |
| 2022 | Temporal Multimodal Multivariate Learning. | Hyoshin Park, Justice Darko, Niharika Deshpande, Venktesh Pandey, Hui Su, Masahiro Ono, Dedrick Barkely, Larkin Folsom, Derek J. Posselt, Steve A. Chien |
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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