My Account | Careers | Downloads | Blog

PROJECT TITLE :

A Survey on Data Pricing: From Economics to Data Science

ABSTRACT:

Data are invaluable. What are some objective, methodical, and quantitative ways that we can evaluate the significance of the data? Pricing data, or information goods in general, has been studied and practiced in a variety of fields and principles, including economics, marketing, electronic commerce, data management, Data Mining, and Machine Learning, to name just a few. In this article, we present a synergistic, interdisciplinary, and all-encompassing overview of this significant path forward. We investigate a variety of driving forces behind data pricing, gain an understanding of the economics of data pricing, and investigate the development and evolution of pricing models in accordance with a set of fundamental principles. Both digital products and data products are up for discussion here. In addition to this, we discuss a number of challenges as well as potential future lines of inquiry.


Did you like this research project?

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

PROJECT TITLE : Systematic Analysis of Fine-Grained Mobility Prediction with On-Device Contextual Data ABSTRACT: The concept of predicting the mobility of users is widely discussed within the research community. Numerous studies
PROJECT TITLE : Objective-Variable Tour Planning for Mobile Data Collection in Partitioned Sensor Networks ABSTRACT: Wireless sensor networks can achieve greater energy efficiency and more even load distribution through the collection
PROJECT TITLE : Location-Flexible Mobile Data Service in Overseas Market ABSTRACT: Mobile network operators, also known as MNOs, are the companies that are responsible for providing wireless data services. These services are based
PROJECT TITLE : Parallel Fractional Hot-Deck Imputation and Variance Estimation for Big Incomplete Data Curing ABSTRACT: The fractional hot-deck imputation, also known as FHDI, is a method for handling multivariate missing data
PROJECT TITLE : Representation Learning from Limited Educational Data with Crowdsourced Labels ABSTRACT: It has been demonstrated that representation learning plays a significant part in the unprecedented success of machine learning

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

Project Enquiry