Mobile Call Frequency Analysis Dataset for Fog-based Inclusion Analysis

Published: 6 May 2019| Version 1 | DOI: 10.17632/mrr6c6m3f5.1
Contributor:
Simar Preet Singh

Description

The dataset comprises the following fields: 1. RegistrationID: This represents the registration id that is created when any new call is initiated. 2. SubscriberID: The ID is linked with the customer who makes the call. 3. Date: This field shows the date of making the call. For our simulation, we have considered dates of a week starting from 1st December, 2018 to 7th December, 2018. 4. CallEvent: Call event field depicts the event id when the call is initiated. 5. M: M represents the source mobile number. Here we are considering M as the user's mobile number from where the call has been initiated. 6. M1: M1 represents the mobile number. This field is considered as Mobile number 1 i.e. the first mobile number who gets the call from M (source mobile). 7. M2: In the same way, M2 also shows the mobile number. This field is considered as Mobile number 2 i.e. the second mobile number who gets the call from M (source mobile). 8. M3: M3 shows the called mobile number. This field is considered as Mobile number 3 i.e. the third mobile number who gets the call from M (source mobile). 9. M4: M4 also shows the called mobile number. This field is considered as Mobile number 4 i.e. the fourth mobile number who gets the call from M (source mobile). 10. M5: As above, M5 also shows the called mobile number. This field is considered as Mobile number 5 i.e. the fifth mobile number who gets the call from M (source mobile). This dataset represents the frequency of call details where M (source) calls to M1, M2, M3, M4 and M5 on a perticluar date with particular SubscriberID, RegistrationID and CallEvent.

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Institutions

Thapar University

Categories

Statistics, Mobile Communication, Cloud Computing, Informal Economy, Inferential Statistics, Fog Computing

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