Indian Institute of Technology Kanpur

Arnab Bhattacharya

Shashwat Mishra

Avani Nandini

Palvali Teja B

Embodiments of the present disclosure set forth methods for selecting a preferred data set from distributed databases including a first database having a first probability attribute and a second database having a second probability attribute. One example method may include receiving a first data set from the first database and a second data set from the second database. The first data set includes a first monotonic attribute. The second data set includes a second monotonic attribute. It may further include selecting a candidate data set from one of the first data set and the second data set based on a comparison of the first monotonic attribute and the second monotonic attribute and determining whether the selected candidate data set is the preferred data set.

Multiple criteria decision analysis in distributed databases

Embodiments of the present disclosure set forth methods for selecting a preferred data set. The methods include generating a joined relation based on a first relation having a first join attribute and a first existence probability attribute, and a second relation having a second join attribute compatible with the first join attribute and a second existence probability attribute, wherein the joined relation comprises a skyline probability attribute based at least in part on the product of a second value of the first existence probability attribute and a third value of the second existence probability attribute; and selecting, by one or more processors, the preferred data set from the joined relation based on a comparison of the first value of the skyline probability attribute and a predetermined threshold.

Multiple criteria decision analysis

Embodiments of the present disclosure set forth a method for selecting a preferred data set. The method includes generating a candidate data set based on a first data set having a first join attribute, and a first aggregate attribute and a second data set having a second join attribute compatible with the first join attribute, and a second aggregate attribute, wherein the candidate data set includes a total attribute having a value that is based on aggregating a value associated with the first aggregate attribute and a value associated with the second aggregate attribute; and selecting the preferred data set from the candidate data set based on the total attribute.

Growing community of inventors

Kanpur, India

Arnab Bhattacharya