The study aims to review the literature on mobile wallet payment and align research trends using a systematic literature review with bibliometric and network visualisation analysis over two decades. It uses bibliometric analysis of the literature research retrieved from the Web of Science database. The study period was from 2001 to 2021, with 1,134 research papers. It also provides the indicators like citation trends, cited reference patterns, authorship patterns, subject areas published on the mobile wallet, top contributing authors, and highly cited research articles using the database. Furthermore, network visualisation analysis, like the co-occurrence of author keywords and keywords plus terms, has also been examined using VOSviewer software. The bibliometric analysis shows that the Republic of China dominates mobile wallet payment, and India is a significant contributor. Furthermore, the constructions of the network map using a co-citation analysis and bibliographic coupling shows an interesting pattern of mobile wallet payment.

Thomas Bohm rethinks technical illustrations and data visualizations, sharing interesting and uncommon examples of how to present data and information. Bar graphs and pie charts are great, but there’s so much more to explore!

The OECD today announced the winner of its first-ever global data visualisation challenge.

PISA Data Visualisation Contest

The general field of the invention is that of the graphical representation of a synthetic three dimensional view of the exterior landscape in an onboard visualisation system for aircraft, said graphical representation being displayed on a visualisation screen comprising the piloting and navigation information of said aircraft superposed onto said three-dimensional synthetic representation of the exterior landscape, said synthetic representation being computed up to a first determined distance, characterised in that said three-dimensional synthetic representation is tilted at a tilt angle about an axiom positioned at the level of the terrain in a substantially horizontal plane, and substantially perpendicularly to an axis between the flight direction and the heading of the aircraft, said axis moving with the aircraft.

Increasing number of sectors which affect human lives, are using Machine Learning (ML) tools. Hence the need for understanding their working mechanism and evaluating their fairness in decision-making, are becoming paramount, ushering in the era of Explainable AI (XAI). In this contribution we introduced a few intrinsically interpretable models which are also capable of dealing with missing values, in addition to extracting knowledge from the dataset and about the problem. These models are also capable of visualisation of the classifier and decision boundaries: they are the angle based variants of Learning Vector Quantization. We have demonstrated the algorithms on a synthetic dataset and a real-world one (heart disease dataset from the UCI repository). The newly developed classifiers helped in investigating the complexities of the UCI dataset as a multiclass problem. The performance of the developed classifiers were comparable to those reported in literature for this dataset, with additional value of interpretability, when the dataset was treated as a binary class problem.

  What is data visualisation? Put simply, data visualisation is the pictorial representation of data. Any data set can be understood at a glance by representing it on interactive charts and graphs. Thi...

Hollywood actor Chris Hemsworth will be offering free guided meditation and visualisation exercises to children from Sunday to help with feelings of 'stress' and 'anxiousness' around COVID-19.

Cham, Switzerland : Springer, [2019]

Cham : Springer, c2019.

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