Analyzing Feedback Patterns Using Data Mining Techinque
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 10
Abstract
This paper presents a data mining technique that can be used to study which courses a student will more likely be interested in, during his graduation. The raw data was collected from feedback forms of an institution offering various courses. We processed the raw data available and performed t-weight calculations to present useful results.
Authors and Affiliations
Shaunak Chheda, Prof. Lynette D’mello
Pipeline Based Distributed and Anonymised Skyline Query Processing
In recent ages handling of large amount of data as well as passing queries to such data is going to become challenging. More advanced query operators are essential to actionable knowledge discovery. Here actionable k...
Wireless real time health monitoring system built with FPGA and RF networks
In recent Days, heart disease is a major concern in the health indicator for the elderly. Cardiovascular diseases are always the leading cause of death in many countries. Due to the rapid growth of elderly population...
Self-motivated probe forms designed for database Uncertainties
Query form is a standout amongst the most broadly utilized client interfaces for questioning databases. Conventional inquiry structures are planned and precharacterized by engineers or DBA in different data administra...
Effective R-cube Algorithm for Deriving Relevant Information on the Web
The analysis of user search goals can be very useful in improving search engine relevance and user experience. A novel approach to infer user search goals by examines search engine query logs. A framework to determin...
Modelling of Buck-Boost Converter for Photovoltaic and Battery Power Systems
In this paper a buck-boost converter with photovoltaic (PV) and battery power for high step-up system is discussed and implemented. The motive of this project is to design a MPPT(maximum power point tracking ) Algori...