Results 21 to 30 of about 28,511,988 (353)
Applied Data Science, 2023 The Communications website, https://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications, we'll publish selected posts or excerpts. twitter Follow us on Twitter at http://twitter.com/blogCACM https:
Michael L. Brodie
semanticscholar +1 more source
The R Language: An Engine for Bioinformatics and Data Science
Life, 2022 The R programming language is approaching its 30th birthday, and in the last three decades it has achieved a prominent role in statistics, bioinformatics, and data science in general.
F. Giorgi +2 more
semanticscholar +1 more source
The Role of Data Science in Web Science [PDF]
IEEE Intelligent Systems, 2016 Web science relies on an interdisciplinary approach that seeks to go beyond what any one subject can say about the World Wide Web. By incorporating numerous disciplinary perspectives and relying heavily on domain knowledge and expertise, data science has emerged as an important new area that integrates statistics with computational knowledge, data ...
Phethean, Christopher +4 more
openaire +4 more sources
AutoDS: Towards Human-Centered Automation of Data Science [PDF]
International Conference on Human Factors in Computing Systems, 2021 Data science (DS) projects often follow a lifecycle that consists of laborious tasks for data scientists and domain experts (e.g., data exploration, model training, etc.).
Dakuo Wang +4 more
semanticscholar +1 more source
OPEN SCIENCE DATA CATALOGUE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Open Science is a catalyst for innovation. Across the Earth Observation value chain, from R&D to prototyping new products and development of commercial applications, openness can play an important role by promoting long-term sustainable, community ...
F. Schindler +5 more
doaj +1 more source
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories
IEEE Transactions on Knowledge and Data Engineering, 2021 CRISP-DM(CRoss-Industry Standard Process for Data Mining) has its origins in the second half of the nineties and is thus about two decades old. According to many surveys and user polls it is still the de facto standard for developing data mining and ...
Fernando Martínez-Plumed +7 more
semanticscholar +1 more source
Risk Assessment for Scientific Data
Data Science Journal, 2020 Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use.
Matthew S. Mayernik +6 more
doaj +1 more source
Towards Ordinal Data Science [PDF]
Transactions on Graph Data and Knowledge, 2023 Order is one of the main instruments to measure the relationship between objects in (empirical) data. However, compared to methods that use numerical properties of objects, the amount of ordinal methods developed is rather small.
Stumme, Gerd +2 more
doaj +1 more source
Open Science and Data Science [PDF]
Data Intelligence, 2021 Data Science (DS) as defined by Jim Gray is an emerging paradigm in all research areas to help finding non-obvious patterns of relevance in large distributed data collections. “Open Science by Design” (OSD), i.e., making artefacts such as data, metadata, models, and algorithms available and re-usable to peers and beyond as early as possible, is a pre ...
openaire +2 more sources
Journal of Organizational and End User Computing, 2022 In recent decades, healthcare organizations around the world have increasingly appreciated the value of information technologies for a variety of applications.
Yin Yang +3 more
semanticscholar +1 more source