Qingshan Liu (ed.); Hanzi Wang (ed.); Zhanyu Ma (ed.); Weishi Zheng (ed.); Hongbin Zha (ed.); Xilin Chen (ed.); Lian Wang Springer (2024) Pehmeäkantinen kirja
Qingshan Liu (ed.); Hanzi Wang (ed.); Zhanyu Ma (ed.); Weishi Zheng (ed.); Hongbin Zha (ed.); Xilin Chen (ed.); Lian Wang Springer (2024) Pehmeäkantinen kirja
Qingshan Liu (ed.); Hanzi Wang (ed.); Zhanyu Ma (ed.); Weishi Zheng (ed.); Hongbin Zha (ed.); Xilin Chen (ed.); Lian Wang Springer (2024) Pehmeäkantinen kirja
This book constitutes the refereed proceedings of the 34th Australasian Database Conference on Databases Theory and Applications, ADC 2023, held in Melbourne, VIC, Australia, during November 1-3, 2023.
The 26 full papers presented in this volume are carefully reviewed and selected from 41 submissions. They were organized in topical sections named: Mining Complex Types of Data, Natural Language Processing and Text Analysis, Machine Learning and Computer Vision, Database Systems and Data Storage, Data Quality and Fairness for Graphs and Graph Mining and Graph Algorithms.
