Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)

Cataloged from PDF version of thesis.

Bibliographic Details
Main Authors:	Sakilluzzaman, MD, Gazi, Sanji Sahlan, Ankan, Taﬁsn Jaber, Areng, Rhyme Raphael, Sharan, S.M. Mobasshir Islam
Other Authors:	Arif, Hossain
Format:	Thesis
Language:	en_US
Published:	Brac University 2021
Subjects:	Big Data Big Data analyzing technique Big Data tool Singular Value Decomposition(SVD) Tourism
Online Access:	http://hdl.handle.net/10361/15107

id	10361-15107
record_format	dspace
spelling	10361-151072022-01-26T10:20:09Z Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD) Sakilluzzaman, MD Gazi, Sanji Sahlan Ankan, Taﬁsn Jaber Areng, Rhyme Raphael Sharan, S.M. Mobasshir Islam Arif, Hossain Department of Computer Science and Engineering, Brac University Big Data Big Data analyzing technique Big Data tool Singular Value Decomposition(SVD) Tourism Cataloged from PDF version of thesis. Includes bibliographical references (pages 22-23). This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Big Service is an extremely important application of service computing to provide predictive and needed services to humans. On the other hand, Big Data as a Service can be achieved implementing by processing large chunk of data eﬀectively. Volume, Velocity and Variety are distinct characteristics of large scale and heterogeneous data that includes unstructured, semi-structured and structured data. Since the arrival of big data, it is a great challenge to eﬃciently represent and process big data with a uniﬁed scheme. Moreover, amount of data including unstructured, semistructured, structured data in the tourism industry is increasing proportionally. This huge set of heterogeneous data needs to be processed and converted into a strategic approach to enhance and establish new methods for innovation and enhancement in the ﬁeld of sustainable tourism. In our thesis we are aiming to ﬁnd a eﬃcient implantation of Big Data as a Service in the tourism industry and to give a good understanding of the advantages of Big Data in the tourism sector. In addition, in our thesis paper we propose Singular Value Decomposition (SVD) to process and optimize the heterogeneous data to minimize the memory usage. A uniﬁed tensor model is proposed to eﬃciently process the heterogeneous data using SVD incremental algorithms. With tensor extension various types of data are represented as sub-tensors and then are merged in a uniﬁed tensor. It is eﬀective for big data representation and dimensionality reduction. The purpose of using the integration is to process and analyze the big data to discover behavioral patterns in tourism industry and propose an eﬀective model to employ data in the tourism sector. MD Sakilluzzaman Sanji Sahlan Gazi Taﬁsn Jaber Ankan Rhyme Raphael Areng S.M. Mobasshir Islam Sharan B. Computer Science 2021-10-03T06:54:20Z 2021-10-03T06:54:20Z 2020 2020-10 Thesis ID: 15101001 ID: 17201031 ID: 14101079 ID: 14101083 ID: 16101160 http://hdl.handle.net/10361/15107 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 23 Pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	en_US
topic	Big Data Big Data analyzing technique Big Data tool Singular Value Decomposition(SVD) Tourism
spellingShingle	Big Data Big Data analyzing technique Big Data tool Singular Value Decomposition(SVD) Tourism Sakilluzzaman, MD Gazi, Sanji Sahlan Ankan, Taﬁsn Jaber Areng, Rhyme Raphael Sharan, S.M. Mobasshir Islam Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)
description	Cataloged from PDF version of thesis.
author2	Arif, Hossain
author_facet	Arif, Hossain Sakilluzzaman, MD Gazi, Sanji Sahlan Ankan, Taﬁsn Jaber Areng, Rhyme Raphael Sharan, S.M. Mobasshir Islam
format	Thesis
author	Sakilluzzaman, MD Gazi, Sanji Sahlan Ankan, Taﬁsn Jaber Areng, Rhyme Raphael Sharan, S.M. Mobasshir Islam
author_sort	Sakilluzzaman, MD
title	Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)
title_short	Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)
title_full	Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)
title_fullStr	Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)
title_full_unstemmed	Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)
title_sort	big data implementation in the tourism industry with the integration of singular value decomposition (svd)
publisher	Brac University
publishDate	2021
url	http://hdl.handle.net/10361/15107
work_keys_str_mv	AT sakilluzzamanmd bigdataimplementationinthetourismindustrywiththeintegrationofsingularvaluedecompositionsvd AT gazisanjisahlan bigdataimplementationinthetourismindustrywiththeintegrationofsingularvaluedecompositionsvd AT ankantafisnjaber bigdataimplementationinthetourismindustrywiththeintegrationofsingularvaluedecompositionsvd AT arengrhymeraphael bigdataimplementationinthetourismindustrywiththeintegrationofsingularvaluedecompositionsvd AT sharansmmobasshirislam bigdataimplementationinthetourismindustrywiththeintegrationofsingularvaluedecompositionsvd
_version_	1814309286168231936

Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)

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