International Journal of Scientific and Research Publications

IJSRP, Volume 5, Issue 3, March 2015 Edition [ISSN 2250-3153]

Query Recommendations for Interactive Database Exploration
      Rajendra Desale ,Vaibhav Patil , Tushar Aware
Abstract: Traditional DBSMs are suited for applications in which the structure, meaning andcontents of the database, as well as the questions to be asked are already well understood. There is, however, a class of applications that we will collectively refer to as Interactive Data Exploration (IDE) applications, in which this is not the case. IDE is akey ingredient of a diverse set of discovery-oriented applications we are dealing with, including ones from scientific computing, financial analysis, evidence-based medicine, and genomics. The need for effective IDE will only increase as data are being collected at anunprecedented rate. IDE is fundamentally a multi-step, non-linear process with imprecise end-goals. For example, data-driven scientific discovery through IDE often requires non-expert users to iteratively interact with the system to make sense of and to identifyinteresting patterns and relationships in large, amorphous data sets.

Reference this Research Paper (copy & paste below code):

Rajendra Desale ,Vaibhav Patil , Tushar Aware (2018); Query Recommendations for Interactive Database Exploration; Int J Sci Res Publ 5(3) (ISSN: 2250-3153).
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