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View article: Greatest Hits Versus Deep Cuts:Exploring Variety in Set-lists Across Artists and Musical Genres
Greatest Hits Versus Deep Cuts:Exploring Variety in Set-lists Across Artists and Musical Genres Open
Live music concert analysis provides an opportunity to explore cultural and historical trends. The art of set-list construction, of which songs to play, has many considerations for an artist, and the notion of how much variety different ar…
View article: The Art of Concert Setlist Composition - A Data Driven Analysis of Bruce Springsteen’s Setlist Curation Over His Career
The Art of Concert Setlist Composition - A Data Driven Analysis of Bruce Springsteen’s Setlist Curation Over His Career Open
Playing live has always been an important part of Bruce Springsteen’s artistry. During his career he has performed thousands of live shows, often as part of a tour in connection with promoting the most recent studio album. When fashioning …
View article: An approach to investigate fairness using Dominance-based Rough Sets Analysis—How fair were the COVID-19 restriction decisions in the UK?
An approach to investigate fairness using Dominance-based Rough Sets Analysis—How fair were the COVID-19 restriction decisions in the UK? Open
Fairness is a crucial aspect to consider within decision support systems, to seek to strive for equitable decision outcomes. Therefore, in this work, we introduce an approach to investigate fairness in data-driven decisions. The Dominance-…
View article: Scaffolding CT via Point-And-Click and P5.js
Scaffolding CT via Point-And-Click and P5.js Open
This paper investigates how to provide meaningful scaffolding to bachelor humanities students, to enabled them to acquire Computational Thinking (CT) technical skills, and in particular basic programming competences. Two of the authors hav…
View article: Covid-19 UK government, winter 2020, Tiered restrictions data
Covid-19 UK government, winter 2020, Tiered restrictions data Open
During the COVID-19 pandemic, several countries took the approach of tiered restrictions. The UK Government’s Winter 2020 Plan looked to take a data driven approach to decision making. They proposed a set of factors (criteria) that would b…
View article: Covid-19 UK government, winter 2020, Tiered restrictions data
Covid-19 UK government, winter 2020, Tiered restrictions data Open
During the COVID-19 pandemic, several countries took the approach of tiered restrictions. The UK Government’s Winter 2020 Plan looked to take a data driven approach to decision making. They proposed a set of factors (criteria) that would b…
View article: How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach
How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach Open
During the COVID-19 pandemic, several countries have taken the approach of tiered restrictions which has remained a point of debate due to a lack of transparency. Using the dominance-based rough set approach, we identify patterns in the CO…
View article: Pairwise comparisons or constrained optimization? A usability evaluation of techniques for eliciting decision priorities
Pairwise comparisons or constrained optimization? A usability evaluation of techniques for eliciting decision priorities Open
Decision support methodologies provide notations for expressing and communicating the priorities that inform a decision. Although a substantial literature has explored the theoretical merits of such notations and methodologies, much less w…
View article: Issue Information
Issue Information Open
This news section offers Cancer readers timely information on events, public policy analysis, topical issues, and personalities.In this issue, we profi le Supriya G
View article: Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling
Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling Open
The process of preparing potentially large and complex data set for further analysis or manual examination is often called data wrangling. In classical warehousing environments, the steps in such a process are carried out using Extract-Tra…
View article: Crowdsourced Targeted Feedback Collection for Multicriteria Data Source Selection
Crowdsourced Targeted Feedback Collection for Multicriteria Data Source Selection Open
A multicriteria data source selection (MCSS) scenario identifies, from a set of candidate data sources, the subset that best meets users’ needs. These needs are expressed using several criteria, which are used to evaluate the candidate dat…
View article: SOURCERY
SOURCERY Open
Data scientists are usually interested in a subset of sources withproperties that are most aligned to intended data use. The SOURCERYsystem supports interactive multi-criteria user-driven source selection.SOURCERY allows a user to identify…
View article: Source Selection Languages
Source Selection Languages Open
When looking to obtain insights from data, and given numerous possible data sources, there are certain quality criteria that retrieved data from selected sources should exhibit so as to be most fit-for-purpose. An effective source selectio…
View article: User driven multi-criteria source selection
User driven multi-criteria source selection Open
Source selection is the problem of identifying a subset of available data sources that best meet a user’s needs. In this paper we propose a user-driven approach to source selection that seeks to identify sources that are most fit for purpo…
View article: Data context informed data wrangling
Data context informed data wrangling Open
The process of preparing potentially large and complex data sets for further analysis or manual examination is often called data wrangling. In classical warehousing environments, the steps in such a process have been carried out using Extr…
View article: The VADA Architecture for Cost-Effective Data Wrangling
The VADA Architecture for Cost-Effective Data Wrangling Open
Data wrangling, the multi-faceted process by which the data required by an application is identi_ed, extracted, cleaned and integrated, is often cumbersome and labor intensive. In this paper, we present an architecture that supports a comp…