Evolution of anatomical concept usage over time: mining 200 years of biodiversity literature
Abstract
References
Index Terms
- Evolution of anatomical concept usage over time: mining 200 years of biodiversity literature
Recommendations
Mining decision rules on data streams in the presence of concept drifts
In a database, the concept of an example might change along with time, which is known as concept drift. When the concept drift occurs, the classification model built by using the old dataset is not suitable for predicting a new dataset. Therefore, the ...
Concepts Seeds Gathering and Dataset Updating Algorithm for Handling Concept Drift
In data mining, the phenomenon of change in data distribution over time is known as concept drift. In this research, the authors introduce a new approach called Concepts Seeds Gathering and Dataset Updating algorithm CSG-DU that gives the traditional ...
An approach of support approximation to discover frequent patterns from concept-drifting data streams based on concept learning
In an online data stream, the composition and distribution of the data may change over time, which is a phenomenon known as concept drift. The occurrence of concept drift can affect considerably the performance of a data stream mining method, especially ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
- National Science Foundation
- Richard Lounsbery Foundation
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 469Total Downloads
- Downloads (Last 12 months)63
- Downloads (Last 6 weeks)7
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in