Exploiting big data analytics for smart city planning

By: Material type: TextTextPublication details: Lahore (unpublished) 2021Description: xii, 57 p. ; 30 cm. +CD : illSubject(s): DDC classification:
  • BIL 006.7
Dissertation note: Thesis (MS)--Riphah International University, 2021
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Item type Current library Call number Status Date due Barcode
Thesis Thesis Lahore Raiwind Campus 006.7 BIL (Browse shelf(Opens below)) NOT for LOAN 59509

Submitted in the partial fulfillment of the requirements for the degree of Master of Science in Computer Science

Includes bibliographical references.

Thesis supervisor: Dr. Usman Akhtar

Thesis (MS)--Riphah International University, 2021

English

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