2012
DOI: 10.1007/978-3-642-35527-1_42
|View full text |Cite
|
Sign up to set email alerts
|

Visual Fingerprinting: A New Visual Mining Approach for Large-Scale Spatio-temporal Evolving Data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2013
2013
2019
2019

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 19 publications
0
1
0
Order By: Relevance
“…We propose a novel spatio-temporal fingerprinting method to discover essential characteristics, or “fingerprints”, by visually exploiting the social check-in data features in spatial temporal means which is inspired by the work in [39,40]. Our fingerprinting method has the following benefits: (a) it leads to spatial temporal data feature extraction; (b) it provides a novel visual structure to answer queries by flexible and dynamic attribute combinations; and (c) it is fast and scalable which is easy to compare.…”
Section: System Implementationmentioning
confidence: 99%
“…We propose a novel spatio-temporal fingerprinting method to discover essential characteristics, or “fingerprints”, by visually exploiting the social check-in data features in spatial temporal means which is inspired by the work in [39,40]. Our fingerprinting method has the following benefits: (a) it leads to spatial temporal data feature extraction; (b) it provides a novel visual structure to answer queries by flexible and dynamic attribute combinations; and (c) it is fast and scalable which is easy to compare.…”
Section: System Implementationmentioning
confidence: 99%