Knowledge tier platform for graph mining in (Smart) cities

Miguel Nũnez-Del-Prado; Edgardo Bravo; Miguel Sierra; Isaias Hoyos; Miguel Canchay

Knowledge tier platform for graph mining in (Smart) cities

Miguel Nũnez-Del-Prado, Edgardo Bravo, Miguel Sierra, Isaias Hoyos, Miguel Canchay

Research output: Contribution to conference › Paper

Abstract

In the present effort, we present a knowledge tier platform to collect information from cities in a form of graphs. This platform enables people to share the information of the area where they live allowing them to inform about pollution, crime levels, traffic jams, streets topology, commerces, markets, etc. The main objective is to provide information, stored in Elastic about a city to find spatio-Temporal patterns using Graph Mining techniques based on Apache Spark GraphX.

Original language	English
Pages	110-113
Number of pages	4
State	Published - 1 Jan 2016
Event	CEUR Workshop Proceedings - Duration: 1 Jan 2017 → …

Conference

Conference	CEUR Workshop Proceedings
Period	1/01/17 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@conference{05fc77a7039f4cd3819e220c9f8631c4,

title = "Knowledge tier platform for graph mining in (Smart) cities",

abstract = "In the present effort, we present a knowledge tier platform to collect information from cities in a form of graphs. This platform enables people to share the information of the area where they live allowing them to inform about pollution, crime levels, traffic jams, streets topology, commerces, markets, etc. The main objective is to provide information, stored in Elastic about a city to find spatio-Temporal patterns using Graph Mining techniques based on Apache Spark GraphX.",

author = "Miguel Nũnez-Del-Prado and Edgardo Bravo and Miguel Sierra and Isaias Hoyos and Miguel Canchay",

year = "2016",

month = jan,

day = "1",

language = "English",

pages = "110--113",

note = "CEUR Workshop Proceedings ; Conference date: 01-01-2017",

}

TY - CONF

T1 - Knowledge tier platform for graph mining in (Smart) cities

AU - Nũnez-Del-Prado, Miguel

AU - Bravo, Edgardo

AU - Sierra, Miguel

AU - Hoyos, Isaias

AU - Canchay, Miguel

PY - 2016/1/1

Y1 - 2016/1/1

N2 - In the present effort, we present a knowledge tier platform to collect information from cities in a form of graphs. This platform enables people to share the information of the area where they live allowing them to inform about pollution, crime levels, traffic jams, streets topology, commerces, markets, etc. The main objective is to provide information, stored in Elastic about a city to find spatio-Temporal patterns using Graph Mining techniques based on Apache Spark GraphX.

AB - In the present effort, we present a knowledge tier platform to collect information from cities in a form of graphs. This platform enables people to share the information of the area where they live allowing them to inform about pollution, crime levels, traffic jams, streets topology, commerces, markets, etc. The main objective is to provide information, stored in Elastic about a city to find spatio-Temporal patterns using Graph Mining techniques based on Apache Spark GraphX.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006176630&origin=inward

M3 - Paper

SP - 110

EP - 113

T2 - CEUR Workshop Proceedings

Y2 - 1 January 2017

ER -

Knowledge tier platform for graph mining in (Smart) cities

Abstract

Conference

UN SDGs

Other files and links

Fingerprint

Cite this