The importance of query processing over uncertain information has recently arisen thanks to its wide usage in many real-world applications. Within the context of uncertain databases, previous work have studied several query types like nearest neighbor query, vary question, top-$k$ question, skyline query, and similarity be part of. In this paper, we have a tendency to specialize in another necessary query, particularly probabilistic group nearest neighbor query (PGNN), within the uncertain database, which conjointly has several applications. Specifically, given a set, Q, of question points, a PGNN question retrieves data objects that minimize the aggregate distance (e.g. total, min, and max) to question set Q. Thanks to the inherent uncertainty of data objects, previous techniques to answer group nearest neighbor question (GNN) can't be directly applied to our PGNN problem. Motivated by this, we tend to propose effective pruning strategies, specifically spatial pruning and probabilistic pruning, to scale back the PGNN search space, which will be seamlessly integrated into our PGNN question procedure. Extensive experiments have demonstrated the efficiency and effectiveness of our proposed approach, in terms of the wall clock time and the speed-up ratio against linear scan.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Learning Compact Features for Human Activity Recognition Via Probabilistic First-Take-All ABSTRACT: With the rise in popularity of mobile sensor technologies, smart wearable devices provide a once-in-a-lifetime
PROJECT TITLE : A Spatially Constrained Probabilistic Model for Robust Image Segmentation ABSTRACT: In probabilistic model based segmentation, the hidden Markov random field (HMRF) is used to describe the class label distribution
PROJECT TITLE : Convex Relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids ABSTRACT: Increased reliability, connection to offshore wind, and coupling of power markets are all benefits of
PROJECT TITLE : A Probabilistic Approach for Vision-Based  Fire Detection in Videos ABSTRACT: In the field of computer vision, automated fire detection is a hot topic. We propose and evaluate a new method for detecting fire
PROJECT TITLE :Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting - 2018ABSTRACT:The research on indoor localization has received great interest in recent times. This has been fueled by

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry