PROJECT TITLE :

Reducing Uncertainty of Probabilistic Top-k Ranking via Pairwise Crowd sourcing - 2017

ABSTRACT:

Probabilistic top-k ranking is an important and well-studied question operator in uncertain databases. However, the standard of high-k results might be heavily littered with the ambiguity and uncertainty of the underlying data. Uncertainty reduction techniques have been proposed to improve the quality of high-k results by cleaning the initial information. Unfortunately, most knowledge cleaning models aim to probe the precise values of the objects individually and so don't work well for subjective knowledge varieties, like user ratings, which are inherently probabilistic. In this paper, we have a tendency to propose a novel pairwise crowdsourcing model to scale back the uncertainty of high-k ranking employing a crowd of domain specialists. Given a crowdsourcing task of limited budget, we have a tendency to propose economical algorithms to pick the best object pairs for crowdsourcing that will usher in the best quality improvement. Intensive experiments show that our proposed solutions outperform a random selection technique by up to thirty times in terms of quality improvement of probabilistic prime-k ranking queries. In terms of efficiency, our proposed solutions will reduce the elapsed time of a brute-force algorithm from several days to at least one minute.


Did you like this research project?

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


PROJECT TITLE :Reducing the Hardware Complexity of a Parallel Prefix Adder - 2018ABSTRACT:Currently, parallel prefix adders (PPA) are thought of effective combinational circuits for performing the binary addition of two multi-bit
PROJECT TITLE : Reducing the Cost of Triple Adjacent Error Correction in Double Error Correction Orthogonal Latin Square Codes - 2016 ABSTRACT: As multiple cell upsets (MCUs) become more frequent on SRAM memory devices, there
PROJECT TITLE: Data Encoding Techniques for Reducing EnergyConsumption in Network-on-Chip - 2015 ABSTRACT: As technology shrinks, the facility dissipated by the links of a network-on-chip (NoC) starts to compete with the facility
PROJECT TITLE :Data Encoding Techniques for Reducing Energy Consumption in Network-on-Chip (2014)ABSTRACT :As technology shrinks, the power dissipated by the links of a network-on-chip (NoC) starts to compete with the power dissipated
PROJECT TITLE :Novel PWM Schemes With Multi SVPWM of Sensorless IPMSM Drives for Reducing Current RippleABSTRACT:This paper proposes novel pulsewidth modulation (PWM) schemes for multi-house-vector pulsewidth modulation (MSVPWM),

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

Project Enquiry