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
2019	Detecting and Correcting Typing Errors in DBpedia.	Daniel Caminhas, Daniel Cones, Natalie Hervieux, Denilson Barbosa
2019	Addressing Challenges in Data Science: Scale, Skill Sets and Complexity.	Joseph Bradley
2019	Seeker: Real-Time Interactive Search.	Ari Biswas, Thai T. Pham, Michael Vogelsong, Benjamin Snyder, Houssam Nassif
2019	Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.	Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
2019	Fairness in Recommendation Ranking through Pairwise Comparisons.	Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
2019	150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com.	Lucas Bernardi, Themistoklis Mavridis, Pablo Estevez
2019	Contrastive Antichains in Hierarchies.	Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Cline Robardet, Tijl De Bie
2019	Quantifying Long Range Dependence in Language and User Behavior to improve RNNs.	Francois Belletti, Minmin Chen, Ed H. Chi
2019	Towards a Benchmark for Knowledge Base Exchange.	Bahar Ghadiri Bashardoost, Rene J. Miller, Kelly A. Lyons
2019	E.T.-RNN: Applying Deep Learning to Credit Loan Applications.	Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov
2019	Adversarially Robust Submodular Maximization under Knapsack Constraints.	Dmitrii Avdiukhin, Slobodan Mitrovic, Grigory Yaroslavtsev, Samson Zhou
2019	Scaling Causal Inference in Additive Noise Models.	Charles K. Assaad, Emilie Devijver, ric Gaussier, Ali At-Bachir
2019	Hard to Park?: Estimating Parking Difficulty at Scale.	Neha Arora, James Cook, Ravi Kumar, Ivan Kuznetsov, Yechen Li, Huai-Jen Liang, Andrew Miller, Andrew Tomkins, Iveel Tsogsuren, Yi Wang
2019	Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types.	Bryan Andrews, Joseph D. Ramsey, Gregory F. Cooper
2019	Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems.	David C. Anastasiu, Huzefa Rangwala, Andrea Tagarelli
2019	Fighting Opinion Control in Social Networks via Link Recommendation.	Victor Amelkin, Ambuj K. Singh
2019	Optuna: A Next-generation Hyperparameter Optimization Framework.	Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama
2019	Machine Learning at Microsoft with ML.NET.	Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupr, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu
2019	Clustering without Over-Representation.	Sara Ahmadian, Alessandro Epasto, Ravi Kumar, Mohammad Mahdian
2019	Carousel Ads Optimization in Yahoo Gemini Native.	Michal Aharon, Oren Somekh, Avi Shahar, Assaf Singer, Baruch Trayvas, Hadas Vogel, Dobri Dobrev
2019	EpiDeep: Exploiting Embeddings for Epidemic Forecasting.	Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash
2019	IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation.	Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiaofei He
2019	Graph Convolutional Networks with EigenPooling.	Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
2019	Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications.	Zhe Jiang, Arpan Man Sainju
2018	Embedding Temporal Network via Neighborhood Formation.	Yuan Zuo, Guannan Liu, Hao Lin, Jia Guo, Xiaoqian Hu, Junjie Wu

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Comparable venues

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