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| 245 | 00 | ▼aWeb and Big Data▼h[electronic resource] :▼b7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part I /▼cedited by Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min. |
| 250 | ▼a1st ed. 2024. | |
| 264 | ▼aSingapore :▼bSpringer Nature Singapore :▼bImprint: Springer,▼c2024. | |
| 300 | ▼aXVIII, 515 p. 172 illus., 134 illus. in color.▼bonline resource. | |
| 336 | ▼atext▼btxt▼2rdacontent | |
| 337 | ▼acomputer▼bc▼2rdamedia | |
| 338 | ▼aonline resource▼bcr▼2rdacarrier | |
| 347 | ▼atext file▼bPDF▼2rda | |
| 490 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v14331 | |
| 520 | ▼aThe 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023. The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data. | |
| 650 | ▼aBig data. | |
| 650 | ▼aData structures (Computer science). | |
| 650 | ▼aInformation theory. | |
| 650 | ▼aApplication software. | |
| 650 | ▼aImage processing▼xDigital techniques. | |
| 650 | ▼aComputer vision. | |
| 650 | ▼aData mining. | |
| 650 | ▼aBig Data. | |
| 650 | ▼aData Structures and Information Theory. | |
| 650 | ▼aComputer and Information Systems Applications. | |
| 650 | ▼aComputer Imaging, Vision, Pattern Recognition and Graphics. | |
| 650 | ▼aData Mining and Knowledge Discovery. | |
| 700 | ▼aSong, Xiangyu.▼eeditor.▼0(orcid)0000-0002-5550-6354▼1https://orcid.org/0000-0002-5550-6354▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aFeng, Ruyi.▼eeditor.▼0(orcid)0000-0002-5709-690X▼1https://orcid.org/0000-0002-5709-690X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aChen, Yunliang.▼eeditor.▼0(orcid)0000-0001-9632-6192▼1https://orcid.org/0000-0001-9632-6192▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aLi, Jianxin.▼eeditor.▼0(orcid)0000-0002-9059-330X▼1https://orcid.org/0000-0002-9059-330X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aMin, Geyong.▼eeditor.▼0(orcid)0000-0003-1395-7314▼1https://orcid.org/0000-0003-1395-7314▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 710 | ▼aSpringerLink (Online service) | |
| 773 | ▼tSpringer Nature eBook | |
| 776 | ▼iPrinted edition:▼z9789819723027 | |
| 776 | ▼iPrinted edition:▼z9789819723041 | |
| 830 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v14331 | |
| 856 | ▼uhttps://doi.org/10.1007/978-981-97-2303-4 | |
| 912 | ▼aZDB-2-SCS | |
| 912 | ▼aZDB-2-SXCS | |
| 912 | ▼aZDB-2-LNC | |
| 950 | ▼aComputer Science (SpringerNature-11645) | |
| 950 | ▼aComputer Science (R0) (SpringerNature-43710) |
Web and Big Data[electronic resource] :7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part I /edited by Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min
Material type
전자책
Title
Web and Big Data[electronic resource] :7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part I /edited by Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min
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판 사항
1st ed. 2024.
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XVIII, 515 p 172 illus, 134 illus in color online resource.
Keyword
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023. The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data.
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RReservation
MMissing Book Request
CClosed Stack Request
IInter-Campus Loan
CPriority Cataloging
PPrint
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