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Proceedings of International Confere...

International Conference on Data, Electronics and Computing ((2022 :)

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Proceedings of International Conference on Data, Electronics and Computing = ICDEC 2022 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of International Conference on Data, Electronics and Computing/ edited by Nibaran Das ... [et al.].
其他題名:	ICDEC 2022 /
其他題名:	ICDEC 2022
其他作者:	Das, Nibaran.
團體作者:	International Conference on Data, Electronics and Computing
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xv, 501 p. :illustrations, digital ;24 cm.
內容註:	Correlation Analysis of Stock Index Data Features using Sequential Rule Mining Algorithms -- A CRF-based POS tagging approach for Bishnupriya Manipuri language -- Text and Language independent classiﬁcation of voice calling platforms using deep learning -- IFS: An Incremental Feature Selection Method to Classify High Dimensional Data -- Computer-Aided Identification of Loom Type of ethnic textile, the Gamusa, using Texture features and Random Forest Classifier.
Contained By:	Springer Nature eBook
標題:	Big data - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-99-1509-5
ISBN:	9789819915095

Proceedings of International Conference on Data, Electronics and Computing = ICDEC 2022 /
Proceedings of International Conference on Data, Electronics and ComputingICDEC 2022 /[electronic resource] :ICDEC 2022edited by Nibaran Das ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xv, 501 p. :illustrations, digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

Correlation Analysis of Stock Index Data Features using Sequential Rule Mining Algorithms -- A CRF-based POS tagging approach for Bishnupriya Manipuri language -- Text and Language independent classiﬁcation of voice calling platforms using deep learning -- IFS: An Incremental Feature Selection Method to Classify High Dimensional Data -- Computer-Aided Identification of Loom Type of ethnic textile, the Gamusa, using Texture features and Random Forest Classifier.

This book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2022) organized by departments of Electronics and Communication Engineering, Computer Applications, and Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, India during 7 - 9 September, 2022. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and control.

ISBN: 9789819915095

Standard No.: 10.1007/978-981-99-1509-5doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Proceedings of International Conference on Data, Electronics and Computing = ICDEC 2022 /
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