Hashing and quantization methods based on deep learning are being widely used in large-
scale image retrieval. Most methods use traditional supervised models to train models …

With the ubiquitous use of digital technologies and the consequent data deluge, official
statistics faces new challenges and opportunities. In this context, strengthening official …

The growing importance of statistical evidence, data and information for political decisions is
reflected in the handy and popular formulation'Data for Policy'(D4P). Under this cover, well …

This research outlines the process of building a sample frame of US SMEs. The method
starts with a list of patenting organizations and defines the boundaries of the population and …

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data
analytics for social science. It features applications in the R language, arguably the fastest …

What distinguishes revolution from evolution? What events or movements in the world of
official statistics have been sufficiently disruptive or transformational to deserve being called …

With the rise of the data-driven economy, the state-owned sector of official statistics has
been pressurised to 'modernise'and engage with big data. However, most of these data …

Faced with increasing demands from users of official statistics, declining budgets, increasing
data collection costs and coupled with the increasing supply of new data sources, national …

The system of national accounts (SNA) and gross domestic product (GDP) are progeny of
the great depression and World War 2. Forged in the fires of these seismic events, they …

Purpose The purpose of this paper is three-fold. Firstly, through selected case studies, to
provide an overview of how non-traditional data from digital public services were used as a …