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Data Mining

651 papers

Papers per year

12
9
66
56
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Papers

Scikit-network: Graph Analysis in Python JMLR 2020
Online matrix factorization for Markovian data and applications to Network Dictionary Learning JMLR 2020
Measuring Congestion in High-Performance Datacenter Interconnects NSDI 2020
Is Big Data Performance Reproducible in Modern Cloud Networks? NSDI 2020
CableMon: Improving the Reliability of Cable Broadband Networks via Proactive Network Maintenance NSDI 2020
Config2Spec: Mining Network Specifications from Network Configurations NSDI 2020
2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets WACV 2020
Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor NIPS 2019
Precision-Recall Balanced Topic Modelling NIPS 2019
k-Means Clustering of Lines for Big Data NIPS 2019
Sampling Sketches for Concave Sublinear Functions of Frequencies NIPS 2019
End-to-End Learning on 3D Protein Structure for Interface Prediction NIPS 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift NIPS 2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion NIPS 2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling NIPS 2019
Text Assisted Insight Ranking Using Context-Aware Memory Network AAAI 2019
Region-Based Message Exploration over Spatio-Temporal Data Streams AAAI 2019
Validation of Growing Knowledge Graphs by Abductive Text Evidences AAAI 2019
Modular Materialisation of Datalog Programs AAAI 2019
Collaborative, Dynamic and Diversified User Profiling AAAI 2019
MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019
Distributed PageRank Computation: An Improved Theoretical Study AAAI 2019
Learning Vine Copula Models for Synthetic Data Generation AAAI 2019
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019
What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System AAAI 2019