Friday , May 10 2024

SIC 2023-3

A Parallel Pairwise-Clustering Matching Algorithm for Large-Scale Metadata Models Using Levenshtein Distance

Seham MOAWED1*, Ali ELDOSOUKY1, Amany SARHAN2, Sally ELGHAMRAWY3 1 Department of Computer Engineering, Mansoura University, Mansoura, Egypt schemamatching2020@gmail.com, schema@std.mans.edu.eg (*Corresponding author) 2 Department of Computer Engineering, Tanta University, Tanta, Egypt am_sarhan_ya@yahoo.com 3 Computers Engineering Department, MISR Higher Institute for Engineering and Technology, Mansoura, Egypt sally_elghamrawy@ieee.org Abstract: Data integration is required for …

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Deep Constrained Clustering with Active Learning

Dan HUANG*, Ran WEN, Boren DING, Junhua LI Institute of Intelligence Technology, Geely University of China, Chengdu, 641423, China danhuang@my.swjtu.edu.cn (*Corresponding author), dbr2001916@163.com, junhua802@163.com Abstract: Deep semi-supervised clustering approaches, which use supervised data to help the deep neural network acquire cluster-friendly representations, have improved clustering performance and simultaneously increased the semantic …

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