In the digital era, the presentation of financial information has transcended traditional
narratives to incorporate advanced data visualization, a transformation that holds significant …

Dimensionality Reduction (DR) techniques can generate 2D projections and enable visual
exploration of cluster structures of high-dimensional datasets. However, different DR …

In geo-related fields such as urban informatics, atmospheric science, and geography, large-
scale spatial time (ST) series (ie, geo-referred time series) are collected for monitoring and …

In the era of quantitative investment, factor-based investing models are widely adopted in
the construction of stock portfolios. These models explain the performance of individual …

Financial cluster analysis allows investors to discover investment alternatives and avoid
undertaking excessive risks. However, this analytical task faces substantial challenges …

Asset pricing via machine learning provides a promising way to capture price trends by
fusing heterogeneous market factors to analyze their joint impact on stock movements rather …

Given a large number of applications and complex processing procedures, how to efficiently
shift and schedule tax officers to provide good services to taxpayers is now receiving more …

For many households, investing for retirement is one of the most significant decisions and is
fraught with uncertainty. In a classic study in behavioral economics, Benartzi and Thaler …

Even though data visualization has been gaining momentum in different fields of study,
Finance needs to catch up. There still needs to be more use of data visualization tools to …

A non-fungible token (NFT) is a data unit stored on the blockchain. Nowadays, more and
more investors and collectors (NFT traders), who participate in transactions of NFTs, have an …