Big Data

10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022, Proceedings
1. Auflage 2022
ISBN: 978-981-19-8330-6
Verlag: Springer Nature Singapore

Buch, Englisch, Band 1709, 139 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 242 g

Reihe: Communications in Computer and Information Science

This book constitutes the refereed proceedings of the 10th CCF Conference on BigData 2022, which took place in Chengdu, China, in November 2022. 

The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.

Zielgruppe

Research

Autoren/Hrsg.

Li, Tianrui

Mao, Rui

Wang, Guoyin

Hu, Jie

Teng, Fei

Zhang, Lei

Wang, Li

Cui, Laizhong

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Searching Similar Trajectories Based on Shape.- Unsupervised Discovery of Disentangled Interpretable Directions for Layer-wise GAN.- ASNN: Accelerated Searching for Natural Neighbors.- ASNN: Accelerated Searching for Natural Neighbors.- ASNN: Accelerated Searching for Natural Neighbors.- A Data-to-Text Generation Model with Deduplicated Content Planning Searching Similar Trajectories Based on Shape.- Clustering-Enhanced Knowledge Graph Embedding.- FCI:Feature Cross and User Interest Network.