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Big data = 10th CCF Conference, BigD...

CCF BigData (Conference) (2022 :)

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Big data = 10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data/ edited by Tianrui Li ... [et al.].
Reminder of title:	10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022 : proceedings /
remainder title:	BigData 2022
other author:	Li, Tianrui.
corporate name:	CCF BigData (Conference)
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	xi, 139 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Big data - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-19-8331-3
ISBN:	9789811983313

Big data = 10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022 : proceedings /
Big data10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022 : proceedings /[electronic resource] :BigData 2022edited by Tianrui Li ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xi, 139 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,17091865-0937 ;. - Communications in computer and information science ;1709..

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.

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.

ISBN: 9789811983313

Standard No.: 10.1007/978-981-19-8331-3doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data = 10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022 : proceedings /
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505 0 $a 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.
520 $a 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.
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