Publications from our Researchers

Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.  


BibTex format

author = {Molina-Solana, MJ and Guo, Y and Birch, D},
doi = {10.1016/j.asoc.2016.12.044},
journal = {Applied Soft Computing},
pages = {227--235},
title = {Improving data exploration in graphs with fuzzy logic and large-scale visualisation},
url = {},
volume = {53},
year = {2017}

RIS format (EndNote, RefMan)

AB - This work presents three case-studies of how fuzzy logic can be combined with large-scale immersive visualisation to enhance the process of graph sensemaking, enabling interactive fuzzy filtering of large global views of graphs. The aim is to provide users a mechanism to quickly identify interesting nodes for further analysis. Fuzzy logic allows a flexible framework to ask human-like curiosity-driven questions over the data, and visualisation allows its communication and understanding. Together, these two technologies successfully empower novices and experts to a faster and deeper understanding of the underlying patterns in big datasets compared to traditional means in a desktop screen with crisp queries. Among other examples, we provide evidence of how these two technologies successfully enable the identification of relevant transaction patterns in the Bitcoin network.
AU - Molina-Solana,MJ
AU - Guo,Y
AU - Birch,D
DO - 10.1016/j.asoc.2016.12.044
EP - 235
PY - 2017///
SN - 1872-9681
SP - 227
TI - Improving data exploration in graphs with fuzzy logic and large-scale visualisation
T2 - Applied Soft Computing
UR -
UR -
VL - 53
ER -