Paper Info
Title
Situation awareness based on big data analysis
Abstract
One important goal of computer science, complete simulation of human has been achieved through cloud computing, big data and artificial intelligence with machine learning. Process of situation awareness consists of (1) Perception to obtain necessary information (2) Comprehension of situation to identify facts for capturing situation (3) Projection to infer proper reaction to the situation. The task for the step 1 is to model the data to extract information while the step 2 and 3 are to infer new facts or rules from the existing facts or rules based on the information. By explosive increase of data from several environmental domains, new information can be obtained based on Big Data infrastructure. The new information contributes to improving computational situation awareness. In this research, an entire automating sequence to obtain information from the Big Data is presented. Obtaining information can be done by repetitive process of data analysis, which can be accomplished through standardized analysis process and automating algorithm using automatic service composition principle.
Year
DOI
Venue
2016
10.1109/ICMLC.2016.7873008
2016 International Conference on Machine Learning and Cybernetics (ICMLC)
Keywords
Field
DocType
Situation Awareness,Big Data Analysis,CRISP-DM,Automatic Service Composition
Data science,Ontology (information science),Data modeling,Situation awareness,Computer science,Service composition,Artificial intelligence,Perception,Big data,Machine learning,Comprehension,Cloud computing
Conference
Volume
ISBN
Citations 
2
978-1-5090-0391-4
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Incheon Paik124138.80