DocumentCode
3652539
Title
Automatic Analysis of Large Data Sets: A Walk-Through on Methods from Different Perspectives
Author
Marcus Hilbrich;Matthias Weber;Ronny Tschüter
Author_Institution
Center for Inf. Services &
fYear
2013
Firstpage
373
Lastpage
380
Abstract
Analyzing data is one of today´s hot topics. A complete list of fields of research and buzzwords associated with automatic analysis would extend beyond this document. The importance of this topic stems from the amount of data currently produced in research, engineering, and other fields. The size of these data sets renders manual analysis infeasible. Automatic analysis methods are required to cope with the data sets produced. The algorithms for filtering, categorization, and analysis have a long tradition and are manifold. This raises the question for the best algorithm. The authors of this paper give an overview about manifold automatic analysis approaches along with a classification of these approaches with regard to three different fields of research.
Keywords
"Bioinformatics","Genomics","Clustering algorithms","Sociology","Statistics","Heuristic algorithms","Monitoring"
Publisher
ieee
Conference_Titel
Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on
Type
conf
DOI
10.1109/CLOUDCOM-ASIA.2013.47
Filename
6821018
Link To Document