Name
Title | ||
|---|---|---|
An Enhanced Visualization Method to Aid Behavioral Trajectory Pattern Recognition Infrastructure for Big Longitudinal Data. |
Abstract | ||
|---|---|---|
Big longitudinal data provide more reliable information for decision making and are common in all kinds of fields. Trajectory pattern recognition is in an urgent need to discover important structures for such data. Developing better and more computationallyefficient visualization tool is crucial to guide this technique. This paper proposes an enhanced projection pursuit (EPP) method to better proj... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBDATA.2017.2653815 | IEEE Transactions on Big Data |
Keywords | Field | DocType |
Stress,Data visualization,Pattern recognition,High definition video,Trajectory,Clustering algorithms,Big data | Data mining,High-definition video,Projection pursuit,Computer science,Artificial intelligence,Cluster analysis,Optimization problem,Trajectory,Data visualization,Pattern recognition,Visualization,Big data,Machine learning | Journal |
Volume | Issue | ISSN |
4 | 2 | 2332-7790 |
Citations | PageRank | References |
2 | 0.47 | 0 |
Authors | ||
2 | ||