Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health
Abstract
References
Index Terms
- Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health
Recommendations
Bag of local landscape features for fitness landscape analysis
Evolutionary computation is a research field dealing with black-box and complex optimization problems whose fitness landscapes are usually unknown in advance. It is difficult to select an appropriate evolutionary algorithm and parameters for a given ...
Big data in health informatics architecture: health informatics
ASONAM '14: Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Miningthis paper narrates the current status of Big Data in the healthcare industry and how the industry could derive big benefits from Big Data. The role of Big Data (and perhaps its analytics) in scripting a Health Informatics (HI) text book is, therefore, ...
Health Analytics on COVID-19 Data with Few-Shot Learning
Big Data Analytics and Knowledge DiscoveryAbstractAlthough huge volumes of valuable data can be generated and collected at a rapid velocity from a wide variety of rich data sources, their availability may vary due to various factors. For example, in the competitive business world, huge volumes of ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
- NSF CCF award
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 323Total Downloads
- Downloads (Last 12 months)323
- Downloads (Last 6 weeks)36
Other Metrics
Citations
Cited By
View allView Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in