QuRIE: Collaborative Database Exploration

  Sanap Vishal,  Prof.Shinde J.P,  Nikhil Bagati

Relational database systems are becoming increasingly popular in the scientific community to support the interactive exploration of large volumes of data. In this scenario, users employ a query inter-face (typically, a web-based client) to issue a series of SQL queries that aim to analyze the data and mine it for interesting information. First-time users, however, may not have the necessary knowledge to know where to start their exploration. Other times, users may simply overlook queries that retrieve important information. In this work we describe a framework to assist non-expert users by providing personalized query recommendations. The querying behavior of the active user is represented by a set of query fragments, which are then used to identify similar query fragments in the recorded sessions of other users. The identified fragments are then trans-formed to interesting queries that are recommended to the active user. An experimental evaluation using real user traces shows that the generated recommendations can achieve high accuracy.

Keywords- Recommender Systems, Collaborative Filtering, Relational Databases, Interactive Exploration.

Unique Identification Number - IJEDR1601011
Page Number(s) - 70-73
Pubished in - Volume 4 | Issue 1 | January 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Sanap Vishal,  Prof.Shinde J.P,  Nikhil Bagati,   "QuRIE: Collaborative Database Exploration", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 1, pp.70-73, January 2016, Available at :http://www.ijedr.org/papers/IJEDR1601011.pdf