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Mining Social Media and Structured D...

Du, Xu.

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Mining Social Media and Structured Data in Urban Environmental Management to Develop Smart Cities.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mining Social Media and Structured Data in Urban Environmental Management to Develop Smart Cities./
Author:	Du, Xu.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	382 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Contained By:	Dissertations Abstracts International82-08B.
Subject:	Environmental studies. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28316969
ISBN:	9798569984305

Mining Social Media and Structured Data in Urban Environmental Management to Develop Smart Cities.
Du, Xu.

Mining Social Media and Structured Data in Urban Environmental Management to Develop Smart Cities. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 382 p.

Source: Dissertations Abstracts International, Volume: 82-08, Section: B.

Thesis (Ph.D.)--Montclair State University, 2021.

This item must not be sold to any third party vendors.

This research presented the deployment of data mining on social media and structured data in urban studies. We analyzed urban relocation, air quality and traffic parameters on multicity data as early work. We applied the data mining techniques of association rules, clustering and classification on urban legislative history. Results showed that data mining could produce meaningful knowledge to support urban management. We treated ordinances (local laws) and the tweets about them as indicators to assess urban policy and public opinion. Hence, we conducted ordinance and tweet mining including sentiment analysis of tweets. This part of the study focused on NYC with a goal of assessing how well it heads towards a smart city. We built domain-specific knowledge bases according to widely accepted smart city characteristics, incorporating commonsense knowledge sources for ordinance-tweet mapping. We developed decision support tools on multiple platforms using the knowledge discovered to guide urban management. Our research is a concrete step in harnessing the power of data mining in urban studies to enhance smart city development.

ISBN: 9798569984305Subjects--Topical Terms:

2122803
Environmental studies.
Subjects--Index Terms:

Data mining

Mining Social Media and Structured Data in Urban Environmental Management to Develop Smart Cities.
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300 $a 382 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
500 $a Advisor: Varde, Aparna.
502 $a Thesis (Ph.D.)--Montclair State University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a This research presented the deployment of data mining on social media and structured data in urban studies. We analyzed urban relocation, air quality and traffic parameters on multicity data as early work. We applied the data mining techniques of association rules, clustering and classification on urban legislative history. Results showed that data mining could produce meaningful knowledge to support urban management. We treated ordinances (local laws) and the tweets about them as indicators to assess urban policy and public opinion. Hence, we conducted ordinance and tweet mining including sentiment analysis of tweets. This part of the study focused on NYC with a goal of assessing how well it heads towards a smart city. We built domain-specific knowledge bases according to widely accepted smart city characteristics, incorporating commonsense knowledge sources for ordinance-tweet mapping. We developed decision support tools on multiple platforms using the knowledge discovered to guide urban management. Our research is a concrete step in harnessing the power of data mining in urban studies to enhance smart city development.
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650 4 $a Information technology. $3 532993
650 4 $a Public policy. $3 532803
653 $a Data mining
653 $a Ordinances
653 $a Sentiment analysis
653 $a Text mining
653 $a Social media
653 $a Smart cities
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690 $a 0477
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710 2 $a Montclair State University. $b Earth and Environmental Studies. $3 2101318
773 0 $t Dissertations Abstracts International $g 82-08B.
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792 $a 2021
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