Searching issues: a survey on data exploration techniques

Anna Lisa Guido, Roberto Paiano, Andrea Pandurino, Stefania Pasanisi

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.

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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