ACM International Conference on Knowledge Discovery and Data Mining

KDD

CORE rank

CORE rank (raw)

Acceptance rate

20.0% (2024 research track)

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

8,232

1994–2026

Best Machine Learning conferences Best Data Science and Information Retrieval conferences

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
2020	Data Science for the Real Estate Industry.	Ron Bekkerman, Vanja Josifovski, Foster J. Provost
2020	BusTr: Predicting Bus Travel Times from Real-Time Traffic.	Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu
2020	Generic Outlier Detection in Multi-Armed Bandit.	Yikun Ban, Jingrui He
2020	Block Model Guided Unsupervised Feature Selection.	Zilong Bai, Hoa Nguyen, Ian Davidson
2020	Prioritized Restreaming Algorithms for Balanced Graph Partitioning.	Amel Awadelkarim, Johan Ugander
2020	USAD: UnSupervised Anomaly Detection on Multivariate Time Series.	Julien Audibert, Pietro Michiardi, Frdric Guyard, Sbastien Marti, Maria A. Zuluaga
2020	Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps.	Ata Akbari Asanjan, Kamalika Das, Alan S. Li, Ved Chirayath, Juan Torres-Perez, Soroosh Sorooshian
2020	Cultivating Human Expertise Through AI-Assisted Data Science.	Josh Andres, Christine T. Wolf, Michael J. Muller, Justin D. Weisz, Narendra Nath Joshi, Aabhas Sharma, Krissy Brimijoin, Michael Desmond, Zahra Ashktorab, Qian Pan, Evelyn Duesterwald, Casey Dugan
2020	Catalysis Clustering with GAN by Incorporating Domain Knowledge.	Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen
2020	Diversity and Inclusion, a Perspective from a Four Years MSI Faculty Member.	Eliana Valenzuela Andrade
2020	Toward Responsible AI by Planning to Fail.	Saleema Amershi
2020	Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak.	Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan
2020	WeightGrad: Geo-Distributed Data Analysis Using Quantization for Faster Convergence and Better Accuracy.	Syeda Nahida Akter, Muhammad Abdullah Adnan
2020	Fairness in Machine Learning for Healthcare.	Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai
2020	Physics Inspired Models in Artificial Intelligence.	Muhammad Aurangzeb Ahmad, Sener znder
2020	Using Optimal Embeddings to Learn New Intents with Few Examples: An Application in the Insurance Domain.	Shailesh Acharya, Glenn Fung
2020	Managing Diversity in Airbnb Search.	Mustafa Abdool, Malay Haldar, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Manaswala, Lynn Yang, Bradley C. Turnbull, Qing Zhang, Thomas Legrand
2020	Fitbit for Chickens?: Time Series Data Mining Can Increase the Productivity of Poultry Farms.	Alireza Abdoli, Sara Alaee, Shima Imani, Amy C. Murillo, Alec C. Gerry, Leslie Hickle, Eamonn J. Keogh
2020	AM-GCN: Adaptive Multi-channel Graph Convolutional Networks.	Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
2020	Evaluating Conversational Recommender Systems via User Simulation.	Shuo Zhang, Krisztian Balog
2020	Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts.	Hongwei Li, Qingping Yang, Yixuan Cao, Jiaquan Yao, Ping Luo
2020	Forecasting the Evolution of Hydropower Generation.	Fan Zhou, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, Qiao Liu
2020	Average Sensitivity of Spectral Clustering.	Pan Peng, Yuichi Yoshida
2020	TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding.	Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun
2020	Scientific Text Mining and Knowledge Graphs.	Meng Jiang, Jingbo Shang

3,776–3,800 of 8,232← Previous Next →

Comparable venues

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