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An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming

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成果类型:
期刊论文
作者:
Iwendi, Celestine;Ponnan, Suresh;Munirathinam, Revathi;Srinivasan, Kathiravan;Chang, Chuan-Yu*
通讯作者:
Chang, Chuan-Yu
作者机构:
[Iwendi, Celestine] Cent South Univ Forestry & Technol, Dept Elect, Bangor Coll, Changsha 410004, Hunan, Peoples R China.
[Ponnan, Suresh] Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci &, Dept ECE, Avadi 600062, India.
[Munirathinam, Revathi] Sci Soc, Engn Div, Tiruvannamalai 606805, India.
[Srinivasan, Kathiravan] Vellore Inst Technol, Sch Informat Technol & Engn, Vellore 632014, Tamil Nadu, India.
[Chang, Chuan-Yu] Natl Yunlin Univ Sci & Technol, Dept Comp Sci & Informat Engn, Touliu 64002, Yunlin, Taiwan.
通讯机构:
[Chang, Chuan-Yu] N
Natl Yunlin Univ Sci & Technol, Dept Comp Sci & Informat Engn, Touliu 64002, Yunlin, Taiwan.
语种:
英文
关键词:
big data analytics;document gathering;efficiency;hierarchical structural categories;data fusion;intelligent systems
期刊:
Electronics
ISSN:
2079-9292
年:
2019
卷:
8
期:
11
页码:
1331
基金类别:
"Intelligent Recognition Industry Service Research Center" from The Featured Areas Research Center Program by the Ministry of Education (MOE) in Taiwan
机构署名:
本校为第一机构
院系归属:
班戈学院
摘要:
As the field of data science grows, document analytics has become a more challenging task for rough classification, response analysis, and text summarization. These tasks are used for the analysis of text data from various intelligent sensing systems. The conventional approach for data analytics and text processing is not useful for big data coming from intelligent systems. This work proposes a novel TF/IDF algorithm with the temporal Louvain approach to solve the above problem. Such an approach is supposed to help the categorization of documents into hierarchical structures showing the relati...

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