IOT Search Engines: Exploratory Data Analysis | Zendy

Fatima Zahra Fagroud | Zendy; Lahbib Ajallouda | Zendy; El Habib Benlahmar | Zendy; Hicham Toumi | Zendy; Khadija Achtaich | Zendy; Sanaa El Filali | Zendy

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IOT Search Engines: Exploratory Data Analysis

Author(s) -

Fatima Zahra Fagroud,

Lahbib Ajallouda,

El Habib Benlahmar,

Hicham Toumi,

Khadija Achtaich,

Sanaa El Filali

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.07.082

Subject(s) - computer science , internet of things , exploratory analysis , exploratory search , exploratory data analysis , search engine , identification (biology) , order (exchange) , information retrieval , the internet , data mining , data science , world wide web , botany , finance , biology , economics

IOT search engine (IOTSE) is a search tool proposed with the aim to allow research, list and identification of IOT devices (All devices connected to the internet represent an IOT device). This tool provides a huge amount of data, which is justified by the exponential increase of the number of objects connected in the world. The data provided must be analyzed and interpreted in the aim to give a better understanding, quickly description and help to make decisions. In this work we applied exploratory data analysis on IOT search engine data in order to give an analysis of IOTSE data with visual method.

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