12:30 - 13:30
POST01: Big data analytics (poster)
Poster Session
Room: Lunches Space
POST01-001
Extraction of occupation, competences and qualifications from Internet job offers for official statistics
Robert Pater, (Email) 1, 2, Maciej Beręsewicz, (Email) 3, Łukasz Cywiński, (Email) 1
1 University of Information Technology and Management, Rzeszów, Poland, 2 Educational Research Institute, Warsaw, Poland, 3 Pozna? University of Economics and Business, Pozna?, Poland
POST01-002
Digital process data from the truck toll collection as a new building block of official short-term statistics
Michael Cox, (Email) 1, Stefan Linz, (Email) 2, Claudia Fries, (Email) 2, Julia Völker, (Email) 2
1 Federal Office for Goods Transport, Cologne, Germany, 2 Federal Statistical Office, Wiesbaden, Germany
POST01-003
A Data Integration System for RIAD Bundesbank
Katja Ziprik, (Email)
Deutsche Bundesbank, Frankfurt Main, Germany
POST01-004
Smart Business Cycle Statistics
Clara Schartner, (Email), Markus Zwick, (Email)
Federal Statistical Office (Destatis), Wiesbaden, Germany
POST01-005
Big Data financial sentiment analysis in the European Bond Markets
Luca Tiozzo, (Email), Sergio CONSOLI, (Email), Elisa TOSETTI, (Email)
JRC - Joint Research Center - European Commission, Ispra, Italy
POST01-006
Smart Meter Data as a Source for Official Statistics
Karin Kraft, (Email) 1, Ingegerd Jansson, (Email) 2
1 Statistics Sweden, Örebro, Sweden, 2 Statistics Sweden, Stockholm, Sweden
POST01-007
Statistics' dissemination metadata
Josep Sort, (Email), Josep Jimenez, (Email), Estela Tonzan, (Email)
Institut d'Estadística de Catalunya (Idescat), Barcelona, Spain
POST01-008
Social indicators and Big Data: a case study on social indicators and active citizenship
Silvia Biffignandi, (Email), Camilla Salvatore, (Email), Annamaria Bianchi, (Email)
University of Bergamo, Bergamo, Italy
POST01-009
Using Big Data for Official Statistics: Web Scraping as a Data Source for Statistical Business Registers (SBRs)
Donato Summa, (Email), Gianpiero Bianchi, (Email), Monica Consalvi, (Email), Barbara Gentili, (Email), Flavio Pancella, (Email), Francesco Scalfati, (Email)
Istat, Rome, Italy
POST01-010
Crowd-sourcing: Integrated data collection systems: Palestinian statistical business register, obstacles and methodologies
Osaid Ismail, (Email)
Palestinian Central Bureau of Statistics, Ramallah, Zimbabwe
POST01-011
Forecasting tourist arrivals with online data: An application to the Valencian Community
Desamparados Blazquez, (Email) 1, Fernando Reis, (Email) 2, Josep Domenech, (Email) 1
1 Universitat Politècnica de València, Valencia, Spain, 2 Eurostat, Luxembourg, Luxembourg
POST01-012
Attributes for Big Data for Official Statistics – an Application to Scanner Data in Luxembourg’
Ibtissame SAHIR, (Email), Florabela Carausu, (Email), Botir Radjabov, (Email)
GOPA Luxembourg, Luxembourg, Luxembourg
POST01-013
Implementing Big Data in Official Statistics: Capture-recapture Techniques to Adjust for Underreporting in Transport Surveys Using Sensor Data
Jonas Klingwort, (Email) 1, 2, Bart Buelens, (Email) 3, Rainer Schnell, (Email) 2
1 University of Duisburg-Essen, Duisburg, Germany, 2 Statistics Netherlands (CBS), Heerlen, Netherlands, 3 Vlaamse Instelling voor Technologisch Onderzoek (VITO), Genk, Belgium
POST01-014
Youth cultures: a text-driven automatic approach.
Felicia Pelagalli, (Email)
1.Culture srl, 2.Sapienza University, Rome, Italy
POST01-015
Using web scraped data to verify Egyptian consumer price indices
Mina Gerges, (Email) 1, 2, El-sayed M. El-Horbaty, (Email) 2
1 CAPMAS, National Statistics Office of Egypt, Cairo, Egypt, 2 Faculty of Computer and Information Sciences, Ain Shams University, Cairo 11566, Egypt, Cairo, Egypt
POST01-016
Modernisation of time-use data collection in EU Member States. A concrete use case: the Belgian way
Joeri Minnen, (Email) 1, Kelly Sabbe, (Email) 2, Hubertus Cloodt, (Email) 3
1 Vrije Universiteit Brussel - hbits, Brussels, Belgium, 2 Statistics Belgium, Brussels, Belgium, 3 EUROSTAT, Luxembourg, Luxembourg
POST01-017
Supervised Learning as a Method to Reduce Clerical Effort
Joerg Feuerhake, (Email)
Federal Statistical Office Germany, Wiesbaden, Germany
POST01-018
Reducing response burden by using administrative cash machine data in Hungarian retail trade statistics
Agnes Andics, (Email), István Macsári, (Email), Zsolt Takács, (Email)
HCSO, Budapest, Hungary