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 |
|---|---|---|
| 2021 | Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis. | Jiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, Yu-Xuan Huang, Le-Wen Cai, Hui Zhang, Min-Ling Zhang, Zhi-Hua Zhou, Yingcai Wu |
| 2021 | TUTA: Tree-based Transformers for Generally Structured Table Pre-training. | Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang |
| 2021 | KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health. | Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner |
| 2021 | Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. | Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang |
| 2021 | MLHat: Deployable Machine Learning for Security Defense. | Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh |
| 2021 | Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines. | Guang Wang, Zhou Qin, Shuai Wang, Huijun Sun, Zheng Dong, Desheng Zhang |
| 2021 | Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. | Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi |
| 2021 | Alphacore: Data Depth based Core Decomposition. | Friedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu |
| 2021 | Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets. | Praveen Venkateswaran, Vinod Muthusamy, Vatche Isahagian, Nalini Venkatasubramanian |
| 2021 | Fairness in Networks: Social Capital, Information Access, and Interventions. | Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset |
| 2021 | The Generalized Mean Densest Subgraph Problem. | Nate Veldt, Austin R. Benson, Jon M. Kleinberg |
| 2021 | Clockwork: A Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data Warehouse. | Martin Valdez-Vivas, Varun Sharma, Nick Stanisha, Shan Li, Luo Mi, Wei Jiang, Alex Kalinin, Josh Metzler |
| 2021 | On the Nature of Data Science. | Jeffrey D. Ullman |
| 2021 | Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. | Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters |
| 2021 | Statistical Models Coupling Allows for Complex Local Multivariate Time Series Analysis. | Veronica Tozzo, Federico Ciech, Davide Garbarino, Alessandro Verri |
| 2021 | Choice Set Confounding in Discrete Choice. | Kiran Tomlinson, Johan Ugander, Austin R. Benson |
| 2021 | Learning Interpretable Feature Context Effects in Discrete Choice. | Kiran Tomlinson, Austin R. Benson |
| 2021 | Safe Learning in Robotics. | Claire J. Tomlin |
| 2021 | Human-Centered Clustering for Time Series Data. | Donato Tiano, Angela Bonifati, Raymond T. Ng |
| 2021 | Mixed Method Development of Evaluation Metrics. | Brian St. Thomas, Praveen Chandar, Christine Hosey, Fernando Diaz |
| 2021 | Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. | Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li |
| 2021 | Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. | Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye |
| 2021 | Artificial Intelligence for Drug Discovery. | Jian Tang, Fei Wang, Feixiong Cheng |
| 2021 | A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. | Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav |
| 2021 | Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. | Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee |
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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