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Title
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Generic Multidimensional Model of Complex Data: Design and Implementation
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Author
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Kais Khrouf and Hela Turki
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Citation |
Vol. 21 No. 12 pp. 643-647
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Abstract
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The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.
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Keywords
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Multidimensional Analysis, Star Schema, Complex Data, XML, Tweets, Coronavirus Covid-19.
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URL
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http://paper.ijcsns.org/07_book/202112/20211288.pdf
|
Title
|
Generic Multidimensional Model of Complex Data: Design and Implementation
|
Author
|
Kais Khrouf and Hela Turki
|
Citation |
Vol. 21 No. 12 pp. 643-647
|
Abstract
|
The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.
|
Keywords
|
Multidimensional Analysis, Star Schema, Complex Data, XML, Tweets, Coronavirus Covid-19.
|
URL
|
http://paper.ijcsns.org/07_book/202112/20211288.pdf
|
Title
|
Generic Multidimensional Model of Complex Data: Design and Implementation
|
Author
|
Kais Khrouf and Hela Turki
|
Citation |
Vol. 21 No. 12 pp. 643-647
|
Abstract
|
The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.
|
Keywords
|
Multidimensional Analysis, Star Schema, Complex Data, XML, Tweets, Coronavirus Covid-19.
|
URL
|
http://paper.ijcsns.org/07_book/202112/20211288.pdf
|
Title
|
Generic Multidimensional Model of Complex Data: Design and Implementation
|
Author
|
Kais Khrouf and Hela Turki
|
Citation |
Vol. 21 No. 12 pp. 643-647
|
Abstract
|
The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.
|
Keywords
|
Multidimensional Analysis, Star Schema, Complex Data, XML, Tweets, Coronavirus Covid-19.
|
URL
|
http://paper.ijcsns.org/07_book/202112/20211288.pdf
|
Title
|
Generic Multidimensional Model of Complex Data: Design and Implementation
|
Author
|
Kais Khrouf and Hela Turki
|
Citation |
Vol. 21 No. 12 pp. 643-647
|
Abstract
|
The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.
|
Keywords
|
Multidimensional Analysis, Star Schema, Complex Data, XML, Tweets, Coronavirus Covid-19.
|
URL
|
http://paper.ijcsns.org/07_book/202112/20211288.pdf
|
Title
|
Generic Multidimensional Model of Complex Data: Design and Implementation
|
Author
|
Kais Khrouf and Hela Turki
|
Citation |
Vol. 21 No. 12 pp. 643-647
|
Abstract
|
The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.
|
Keywords
|
Multidimensional Analysis, Star Schema, Complex Data, XML, Tweets, Coronavirus Covid-19.
|
URL
|
http://paper.ijcsns.org/07_book/202112/20211288.pdf
|
Title
|
Generic Multidimensional Model of Complex Data: Design and Implementation
|
Author
|
Kais Khrouf and Hela Turki
|
Citation |
Vol. 21 No. 12 pp. 643-647
|
Abstract
|
The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.
|
Keywords
|
Multidimensional Analysis, Star Schema, Complex Data, XML, Tweets, Coronavirus Covid-19.
|
URL
|
http://paper.ijcsns.org/07_book/202112/20211288.pdf
|
Title
|
Generic Multidimensional Model of Complex Data: Design and Implementation
|
Author
|
Kais Khrouf and Hela Turki
|
Citation |
Vol. 21 No. 12 pp. 643-647
|
Abstract
|
The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.
|
Keywords
|
Multidimensional Analysis, Star Schema, Complex Data, XML, Tweets, Coronavirus Covid-19.
|
URL
|
http://paper.ijcsns.org/07_book/202112/20211288.pdf
|
Title
|
Generic Multidimensional Model of Complex Data: Design and Implementation
|
Author
|
Kais Khrouf and Hela Turki
|
Citation |
Vol. 21 No. 12 pp. 643-647
|
Abstract
|
The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.
|
Keywords
|
Multidimensional Analysis, Star Schema, Complex Data, XML, Tweets, Coronavirus Covid-19.
|
URL
|
http://paper.ijcsns.org/07_book/202112/20211288.pdf
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