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

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

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...

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Bibliographic Details
Main Authors: Celestine Iwendi, Suresh Ponnan, Revathi Munirathinam, Kathiravan Srinivasan, Chuan-Yu Chang
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Electronics
Subjects:
big data analytics
document gathering
efficiency
hierarchical structural categories
data fusion
intelligent systems
Online Access:https://www.mdpi.com/2079-9292/8/11/1331

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