Mining urban data (part A)

Ioannis Katakis

doi:10.1016/j.is.2015.08.002

Mining urban data (part A)

Ioannis Katakis

Department of Computer Science

Research output: Contribution to journal › Review article › peer-review

3 Citations (Scopus)

Abstract

Modern cities are flooded with data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens' quality of life. From a data science perspective, data emerging from smart cities give rise to a lot of challenges that constitute a new inter-disciplinary field of research. This article introduces the first part of a special issue on the topic 'Mining Urban Data' published in the journal Information Systems.

Original language	English
Article number	1065
Pages (from-to)	113-114
Number of pages	2
Journal	Information Systems
Volume	54
DOIs	https://doi.org/10.1016/j.is.2015.08.002
Publication status	Published - 1 Dec 2015

Keywords

Data management
Data mining
Sensor networks
Smart cities
Social networks
Urban data

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10.1016/j.is.2015.08.002

Cite this

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title = "Mining urban data (part A)",

abstract = "Modern cities are flooded with data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens' quality of life. From a data science perspective, data emerging from smart cities give rise to a lot of challenges that constitute a new inter-disciplinary field of research. This article introduces the first part of a special issue on the topic 'Mining Urban Data' published in the journal Information Systems.",

keywords = "Data management, Data mining, Sensor networks, Smart cities, Social networks, Urban data",

author = "Ioannis Katakis",

year = "2015",

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AB - Modern cities are flooded with data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens' quality of life. From a data science perspective, data emerging from smart cities give rise to a lot of challenges that constitute a new inter-disciplinary field of research. This article introduces the first part of a special issue on the topic 'Mining Urban Data' published in the journal Information Systems.

KW - Data management

KW - Data mining

KW - Sensor networks

KW - Smart cities

KW - Social networks

KW - Urban data

UR - http://www.scopus.com/inward/record.url?scp=84940661255&partnerID=8YFLogxK

U2 - 10.1016/j.is.2015.08.002

DO - 10.1016/j.is.2015.08.002

M3 - Review article

AN - SCOPUS:84940661255

VL - 54

SP - 113

EP - 114

JO - Information Systems Journal

JF - Information Systems Journal

SN - 1350-1917

M1 - 1065

ER -

Mining urban data (part A)

Abstract

Keywords

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