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Data management technologies and app...

DATA(Conference) (2021 :)

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Data management technologies and applications = 10th International Conference, DATA 2021, virtual event, July 6-8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data management technologies and applications/ edited by Alfredo Cuzzocrea ... [et al.].
其他題名:	10th International Conference, DATA 2021, virtual event, July 6-8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022 : revised selected papers /
其他題名:	DATA 2021
其他作者:	Cuzzocrea, Alfredo.
團體作者:	DATA(Conference)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xiv, 243 p. :ill., digital ;24 cm.
內容註:	Papers -- A Survey-based Evaluation of the Data Engineering Maturity in Practice -- Automating Data Quality Monitoring with Reference Data Profiles -- Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews -- SubTempora: A Hybrid Approach for Optimising Subgraph Searching -- Exploring Instagram and Youtube Data to Extract User Insights: The Greek Paradigm -- Automatic Detection of Facial Landmarks for Denture Models -- Combining Image and Text Matching for Product Classification in Retail -- Automatic Sentiment Labelling of Multimodal Data -- From Cracked Accounts to Fake IDs: User Profiling on German Telegram Black Market Channels -- Data Mining and Machine Learning to Predict the Sulphur Content in the Hot Metal of a Coke-Fired Blast Furnace -- Automatic Instructional Feedback, and a Lecture Hub System: A Strategy towards Nurturing the Acquisition of a Structured Engagement Behavior.
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-031-37890-4
ISBN:	9783031378904

Data management technologies and applications = 10th International Conference, DATA 2021, virtual event, July 6-8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022 : revised selected papers /
Data management technologies and applications10th International Conference, DATA 2021, virtual event, July 6-8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022 : revised selected papers /[electronic resource] :DATA 2021edited by Alfredo Cuzzocrea ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xiv, 243 p. :ill., digital ;24 cm. - Communications in computer and information science,18601865-0937 ;. - Communications in computer and information science ;1860..

Papers -- A Survey-based Evaluation of the Data Engineering Maturity in Practice -- Automating Data Quality Monitoring with Reference Data Profiles -- Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews -- SubTempora: A Hybrid Approach for Optimising Subgraph Searching -- Exploring Instagram and Youtube Data to Extract User Insights: The Greek Paradigm -- Automatic Detection of Facial Landmarks for Denture Models -- Combining Image and Text Matching for Product Classification in Retail -- Automatic Sentiment Labelling of Multimodal Data -- From Cracked Accounts to Fake IDs: User Profiling on German Telegram Black Market Channels -- Data Mining and Machine Learning to Predict the Sulphur Content in the Hot Metal of a Coke-Fired Blast Furnace -- Automatic Instructional Feedback, and a Lecture Hub System: A Strategy towards Nurturing the Acquisition of a Structured Engagement Behavior.

This book constitutes the refereed post-proceedings of the 10th International Conference and 11th International Conference on Data Management Technologies and Applications, DATA 2021 and DATA 2022, was held virtually due to the COVID-19 crisis on July 6-8, 2021 and in Lisbon, Portugal on July 11-13, 2022. The 11 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.

ISBN: 9783031378904

Standard No.: 10.1007/978-3-031-37890-4doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D3 / D38 2021

Dewey Class. No.: 005.7

Data management technologies and applications = 10th International Conference, DATA 2021, virtual event, July 6-8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022 : revised selected papers /
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