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06/08/2023
Learned spatial data partitioning
Due to the significant increase in the size of spatial data, it is essen...
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11/07/2022
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations
Deep learning-based recommender systems may lead to over-fitting when la...
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08/29/2022
Learned k-NN Distance Estimation
Big data mining is well known to be an important task for data science, ...
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07/11/2022
Fast Density-Peaks Clustering: Multicore-based Parallelization Approach
Clustering multi-dimensional points is a fundamental task in many fields...
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10/18/2021
Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach
Distance-based outlier detection is widely adopted in many fields, e.g.,...
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10/14/2021
Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item?
The MIPS (maximum inner product search), which finds the item with the h...
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01/29/2021
