Volume & Issue no: Volume 4, Issue 6, November - December 2015
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Title: |
Searching issues: a survey on data exploration techniques |
Author Name: |
Anna Lisa Guido, Roberto Paiano, Andrea Pandurino, Stefania Pasanisi |
Abstract: |
Abstract
In the field of "Data Exploration" many approaches have
been developed to resolve the problem of management of big
data that are also semantically rich. Nowadays the user need
more than a simple data exploration but need to explore it in
interactive way and being able to find her way through large
amounts of data in order to gather the necessary information.
In this paper, we first introduce the main features of an
idealdata exploration system.Next, we present an overview of
the main techniques of data exploration introducing related
methods and techniques such as Faceted Search and Data
Mining and then we conduct a comparative study of Faceted
Search, Data Mining. The aim of our work is, through a
critical analysis of the main features of an ideal data
exploration system, discover the differences and similarities
between the techniques analyzed. Some directions for future
research are finally presented.
Keywords:Data Exploration, Faceted Search, Data
Mining, large and rich data set. |
Cite this article: |
Anna Lisa Guido, Roberto Paiano, Andrea Pandurino, Stefania Pasanisi , "
Searching issues: a survey on data exploration techniques " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 6, November - December 2015 , pp.
183-188 , ISSN 2278-6856.
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