22 papers · ranked by Valyu relevance
Matthias Stierle, Karsten Kraume, Martin Matzner
Data-driven analysis of business processes has a long tradition in research. However, recently the term of process mining is mostly used when referring to data-driven process analysis. As a consequence, awareness for the many facets of process analysis is decreasing. In particular, while an increasing focus is put onto…
Laurie Miles PhD
This presentation aims to go over a number of things. Firstly it will welcome the attendees to SAS UK HQ at Wittington House and give the audience a brief introduction into SAS as an organisation. This will include a short history of the company and an overview of what SAS does. This focuses on predictive analytics…
Melva Inés Gómez-Caicedo, Mercedes Gaitán-Angulo, Jorge Bacca-Acosta, Carlos Yesid Briñez Torres + 1 more
'Carlos Yesid Briñez Torres' 'Jenny Cubillos Díaz'] Artificial Intelligence has become an essential element for strengthening the business fabric. The advances obtained in recent years as a result of the incorporation of technology for the improvement of productive activities and the positioning of companies in the…
Maged N Kamel Boulos, Teeradache Viangteeravat, Matthew N Anyanwu, Venkateswara Ra Nagisetty + 1 more
'Venkateswara Ra Nagisetty' 'Emin Kuscu'] The goal of visual analytics is to facilitate the discourse between the user and the data by providing dynamic displays and versatile visual interaction opportunities with the data that can support analytical reasoning and the exploration of data from multiple user-customisable…
Tan Shiang-Yen, Taizan Chan
Despite actionable insight being widely recognized as the outcome of data analytics, there is a lack of a systematic and commonly-agreed definition for the term. More importantly, existing definitions are generally too abstract for informing the design of data analytics systems. This study proposes a definition of…
Amrit Singh, Scott J. Tebbutt, Bruce M. McManus
High-throughput technologies produce complex high-dimensional datasets which are analyzed using a variety of ever-evolving bioinformatics tools. Well-designed web frameworks enable more intuitive and efficient analysis such that less time is spent on coding and more time is spent on interpretation of results and…
S. Sachin Kumar, Prithvi HV, C Nandini
— The application of Data Science and Analytics to optimize or predict the outcomes is Ubiquitous in the Modern World. Data Science and Analytics have optimized almost every domain that exists in the market. In our survey we tend to focus mainly how the field of Analytics has been adopted in the field of sports, how it…
Jeffrey W Treem, William C Barley, Matthew S Weber, Joshua B Barbour + 2 more
'Nancy Baym' 'Nicole Ellison'] Title: Abstract The future of work will be measured. The increasing and widespread adoption of analytics, the use of digital inputs and outputs to inform organizational decision making, makes the communication of data central to organizing. This article applies and extends signaling…
Richard Skarbez, Nicholas F. Polys, J. Todd Ogle, Chris North + 1 more
'Doug A. Bowman'] Advances in a variety of computing fields, including “big data,” machine learning, visualization, and augmented/mixed/virtual reality, have combined to give rise to the emerging field of immersive analytics, which investigates how these new technologies support analysis and decision making. Thus far…
Shakhovska Nataliya, Veres Oleh, Mariia Hirnyak
This article dwells on the basic characteristic features of the Big Data technologies. It is analyzed the existing definition of the "big data" term. The article proposes and describes the elements of the generalized formal model of big data. It is analyzed the peculiarities of the application of the proposed model…
Jaka Kokošar, Cagatay Turkay, Luka Avsec, Miha Štajdohar + 1 more
We introduce a visual analytics methodology for survival analysis, and propose a framework that defines a reusable set of visualization and modeling components to support exploratory and hypothesis-driven biomarker discovery. Survival analysis—essential in biomedicine—evaluates patients’ survival rates and the onset of…
Samir Passi, Steven J. Jackson
Learning to see through data is central to contemporary forms of algorithmic knowledge production. While often represented as a mechanical application of rules, making algorithms work with data requires a great deal of situated work. This paper examines how the often-divergent demands of mechanization and discretion…
Mikaela J. Callinan, Jonathan D. Connor, Wade H. Sinclair, Anthony S. Leicht + 1 more
'Anthony S. Leicht' 'Ender Senel'] Professional coaches commonly rely on performance analysis and metrics to help make decisions regarding their practices, selection and tactics. However, few studies to date have explored coaches’ perspectives of performance analysts successful integration into the high-performance…
Dimitar Georgiev, Simon Vilms Pedersen, Ruoxiao Xie, Álvaro Fernández-Galiana + 2 more
Raman spectroscopy is a non-destructive and label-free chemical analysis technique, which plays a key role in the analysis and discovery cycle of various branches of science. Nonetheless, progress in Raman spectroscopic analysis is still impeded by the lack of software, methodological and data standardisation, and the…
Sneha Gathani, Zhicheng Liu, Peter J. Haas, Çağatay Demiralp
What-if analysis (WIA), crucial for making data-driven decisions, enables users to understand how changes in variables impact outcomes and explore alternative scenarios. However, existing WIA research focuses on supporting the workflows of data scientists or analysts, largely overlooking significant non-technical…
Guy Teichman, Dror Cohen, Or Ganon, Netta Dunsky + 3 more
Amongst the major challenges in next-generation sequencing experiments are exploratory data analysis, interpreting trends, identifying potential targets/candidates, and visualizing the results clearly and intuitively. These hurdles are further heightened for researchers who are not experienced in writing computer code…
Aboozar Hadavand, Jeffrey Leek
Due to the fundamental differences between traditional education and Massive Open Online Courses (MOOCs) and the ever-increasing popularity of MOOCs more research is needed to under- stand current and future trends in education. Although research in the field has rapidly grown in recent years, one of the main…
Marcus W. Fedarko, Cameron Martino, James T. Morton, Antonio González + 5 more
Many tools for dealing with compositional “’omics” data produce feature-wise values that can be ranked in order to describe features’ associations with some sort of variation. These values include differentials (which describe features’ associations with specified covariates) and feature loadings (which describe…
Authors not listed
Chemistry curricula often separate “wet” experimental work from “dry” computation, yet modern discovery increasingly demands both. This Perspective offers an instructor-ready roadmap to train “hybrid chemists” within existing courses. We distill recent advances in machine learning, automation, and real-time analytics…
Theresa Harbig, Julian Fratte, Michael Krone, Kay Nieselt
The increasing amount of data produced by omics technologies has significantly improved the understanding of how biological information is transferred across different omics layers and to which extent it is involved in the manifestation of a given phenotype. Besides data-driven analysis strategies, interactive…
Authors not listed
Traditional and non-classical machine learning models for solid-state structure prediction have predominantly relied on compositional features (derived from properties of constituent elements) to predict the existence of structure and its properties. However, the lack of structural information can be a source of…
Igor Kaltashov, Kenyon Kowalski, Ryan Sullivan, Alyssa Marsico + 1 more
Forensics has long been viewed by chemical educators as a field with great potential as far as providing inspiration for modifying chemistry laboratory curriculum and enhancing students’ learning experience at different levels. While most experiments are based on adaptation of laboratory procedures routinely used in…