Detalles del recurso


The increasing use of mobile social networks has lately transformed news media. Real-world events are nowadays reported in social networks much faster than in traditional channels. As a result, the autonomous detection of events from networks like Twitter has gained lot of interest in both research and media groups. DBSCAN-like algorithms constitute a well-known clustering approach to retrospective event detection. However, scaling such algorithms to geographically large regions and temporarily long periods present two major shortcomings. First, detecting real-world events from the vast amount of tweets cannot be performed anymore in a single machine. Second, the tweeting activity varies a lot within these broad space-time regions limiting the use of global parameters. Against this background, we propose to scale DBSCAN-like event detection techniques by parallelizing and distributing them through a novel density-aware MapReduce scheme. The proposed scheme partitions tweet data as per its spatial and temporal features and tailors local DBSCAN parameters to local tweet densities. We implement the scheme in Apache Spark and evaluate its performance in a dataset composed of geo-located tweets in the Iberian peninsula during the course of several football matches. The results pointed out to the benefits of our proposal against other state-of-the-art techniques in terms of speed-up and detection accuracy.

Pertenece a



Capdevila, Joan -  Pericacho, Gonzalo -  Torres, Jordi -  Cerquides, Jesus - 

Id.: 70423047

Idioma: eng  - 

Versión: 1.0

Estado: Final

Palabras claveEvent detection - 

Tipo de recurso: Capítulo de libro  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: closedAccess

Requerimientos técnicos:  Browser: Any - 

Relación: [References] MINECO/TIN2015-65316; MINECO/TIN2015-66863-C2-1-R
[References] Sí

Fecha de contribución: 19-dic-2017


* doi:
* isbn: 978-3-319-49582-8

Otros recursos del mismo autor(es)

  1. Enacting agent-based services for automated procurement Negotiation events in industrial procurement involving multiple, highly customisable goods pose seri...
  2. Enabling assisted strategic negotiations in actual-world procurement scenarios In the everyday business world, the sourcing process of multiple goods and services usually involves...
  3. Empirical hardness for mixed auctions Mixed Multi-Unit Combinatorial Auctions (MMUCAs) offer a high potential to be employed for the autom...
  4. Composing Supply Chains Through Multiunit Combinatorial Reverse Auctions With Transformability Relationships Among Goods In this paper, we introduce a novel auction-based decision support system to help a firm readily ass...
  5. Benefits of combinatorial auctions with transformability relationships In this paper we explore whether an auctioneer/buyer may benefit from introducing his transformabili...

Otros recursos de la mismacolección

  1. Formalizing argumentative reasoning in a possibilistic logic programming setting with fuzzy unification Possibilistic Defeasible Logic Programming (P-DeLP) is a logic programming language which combines f...
  2. Foreword from the program chairs of DPM 2010 UNESCO Chair in Data Privacy, Artificial Intelligence Research Institute (IIIA-CSIC), Internet Inter...
  3. Foreword from the program chairs of DPM 2009 UNESCO Chair in Data Privacy, ARES-CONSOLIDER CSD2007-00004, e-Aegis TSI2007-65406-C03-01, IIIA Span...
  4. Foreword Peer Reviewed
  5. First-order t-norm based fuzzy logics with truth-constants: Distinguished semantics and completeness properties This paper aims at being a systematic investigation of different completeness properties of first-or...

Aviso de cookies: Usamos cookies propias y de terceros para mejorar nuestros servicios, para análisis estadístico y para mostrarle publicidad. Si continua navegando consideramos que acepta su uso en los términos establecidos en la Política de cookies.