Priya Dharshini | Bharathiar University, Coimbatore, Tamilnadu, INDIA (original) (raw)

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Papers by Priya Dharshini

Research paper thumbnail of DYNAMIC QUERY FORMS FOR DATABASE QUERIES - A SURVEY

IJRCAR, Aug 22, 2015

The perusing proposes a dynamic inquiry structure system which delivers the request structures as... more The perusing proposes a dynamic inquiry structure system which delivers the request structures as
demonstrated by the customer's longing at run time. The system gives a response for the inquiry interface in far
reaching and complex databases. We apply F-measure to assess the honesty of an inquiry structure. F-measure is a
general metric to evaluate request results. This metric is also suitable for request edges in light of the way that
question shapes are planned to help customer's request the database. The tolerability of a request structure is directed
by the inquiry results made from the inquiry structure. In perspective of this, we rank and recommend the potential
request structure parts so customers can refine the inquiry shape successfully. In perspective of the proposed metric,
we make capable figuring to assess the tolerability of the projection and determination structure portions. Here
efficiency is vital in light of the fact that DQF is an online system where customers frequently expect lively
response.

Research paper thumbnail of DYNAMIC QUERY FORMS FOR DATABASE QUERIES - A SURVEY

IJRCAR, Aug 22, 2015

The perusing proposes a dynamic inquiry structure system which delivers the request structures as... more The perusing proposes a dynamic inquiry structure system which delivers the request structures as
demonstrated by the customer's longing at run time. The system gives a response for the inquiry interface in far
reaching and complex databases. We apply F-measure to assess the honesty of an inquiry structure. F-measure is a
general metric to evaluate request results. This metric is also suitable for request edges in light of the way that
question shapes are planned to help customer's request the database. The tolerability of a request structure is directed
by the inquiry results made from the inquiry structure. In perspective of this, we rank and recommend the potential
request structure parts so customers can refine the inquiry shape successfully. In perspective of the proposed metric,
we make capable figuring to assess the tolerability of the projection and determination structure portions. Here
efficiency is vital in light of the fact that DQF is an online system where customers frequently expect lively
response.

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