SIMBig 2016
Symposium on Information Management and Big Data 2016

Table of Contents

• Title Page
• Organizing Committee
• Program Committee

Overview of SIMBig 2016

• Information Management and Big Data: SIMBig overview 11-14
  Juan Antonio Lossio-Ventura , Hugo Alatrista-Salas

Keynote Speaker Presentations

• Mining Internet of Things (IoT) Big Data Streams 15-16
  Albert Bifet
• Spatio-Temporal Data Mining: From Big Data to Patterns 17-18
  Maguelonne Teisseire
• Personalised Recommendations for Context Aware Suggestions 19-21
  Fabio Crestani

Session 1: Text Mining

• Construction of a Biodiversity Knowledge Repository using a Text Mining-based Framework 22-25
  Riza Batista-Navarro , Chrysoula Zerva , Sophia Ananiadou
• Measuring Citizen Participation in South African Public Debates using Twitter: An Exploratory Study 26-34
  Selvas Mwanza , Hussein Suleman
• Opinion Analysis Applied to Politics: A Case Study based on Twitter 35-42
  Gilberto Nunes , Denivaldo Lopes , Zair Abdelouahab
• Predicting Reactions to Blog Headlines 43-47
  Rel Guzman , José Eduardo Ochoa-Luna , Laura Cruz-Quispe , Elizabeth Vera-Cervantes

Session 2: Special Track - Social Network and Media Analysis and Mining (SNMAM)

• A Corpus Builder: Retrieving Raw Data from GitHub for Knowledge Reuse In Requirements Elicitation 48-54
  Roxana Lisette Quintanilla Portugal , Hugo Roque , Julio Cesar Sampaio do Prado Leite
• Cloud Risk Communication on Social Media: The Case of Premera Blue Cross 55-61
  Jean Pierre Guy Gashami , Christian Fernando Libaque-Saenz , Myeong-Cheol Park , Jae Jeung Rho
• The Impact of Network Sampling on Relational Classification 62-72
  Lilian Berton , Didier A. Vega-Oliveros , Jorge Valverde-Rebaza , Andre Tavares da Silva , Alneu de Andrade Lopes
• Measuring more than just Exchange: Are Multiplex Networks the Key to Understanding Informal Economic Relationships? 73-79
  John Harvey

Session 3: Natural Language Processing

• Dictionary-based Sentiment Analysis Applied to Specific Domain using a Web Mining Approach 80-88
  Laura Cruz-Quispe , José Eduardo Ochoa Luna , Mathieu Roche , Pascal Poncelet
• An Empirical Method Exploring a Large Set of Features for Authorship Identification 89-95
  Seifeddine Mechti , Maher Jaoua , Rim Faiz , Lamia Hadrich Belguith
• In God We Trust. All Others Must Bring Data. — W. Edwards Deming. Using Word Embeddings to Recognize Idioms 96-102
  Jing Peng , Anna Feldman
• Evaluating Class Assignment Semantic Redundancy on Linked Datasets 103-109
  Leandro Mendoza , Alicia Díaz

Session 4: Network and Clustering

• Knowledge Tier Platform for Graph Mining in (Smart) Cities 110-113
  Miguel Nuñez-del-Prado , Edgardo Bravo Miguel Sierra , Isaias Hoyos Miguel Canchay
• Social Spider Algorithm Approach for Clustering 114-121
  Harley Vera-Olivera , José Luis Soncco-Alvarez , Lauro Enciso-Rodas
• A Clustering Optimization Approach for Disaster Relief Delivery: A Case Study in Lima-Peru 122-129
  Jorge Vargas-Florez , Rosario Medina-Rodriguez , Rafael Alva-Cabrera
• DAZIO: Detecting Activity Zones based on Input/Output Call and SMS Activity 130-139
  Miguel Nuñez-del-Prado , Ana Luna , Romain Gauthier

Session 5: Machine Learning and Big data Applications

• Sense-Level Semantic Clustering of Hashtags in Social Media 140-149
  Ali Javed , Byung Suk Lee
• Russian Named Entities Recognition and Classification Using Distributed Word and Phrase Representations 150-156
  Roman Ivanitskiy , Alexander Shipilo , Liubov Kovriguina
• Big Data Analytics for Opinion Mining and Patterns Detection of the Tunisian Election 157-164
  Zeineb Dhouioui , Hanen Bouali , Jalel Akaichi
• Use of Text Mining for Understanding Peruvian Students and Faculties' Perceptions on Bibliometrics Training 165-169
  Carlos Vilchez-Roman , Joel Alhuay-Quispe