Manuscript Number : IJSRSET151639
A Survey on Prediction of Missing Sensor Data Using Association Rule
Authors(2) :-Hitarth Chauhan, Bakul Panchal
Missing values is major problem in sensor network. Currently we have many existing approach to predict missing values in stream of data. But for pre fetched existing data we can’t use such techniques. So while querying in such data will lead to wrong results. So in this paper we will try to predict such missing data in existing sensor data using association rule mining techniques.
Hitarth Chauhan
Window Association Rule Mining, K-nearest Neighbour Estimation, WSN, Data Reduction Mechanism, Data Mining, Sensor Data
Publication Details
Published in :
Volume 1 | Issue 6 | November-December 2015 Article Preview
Department of Information Technology, L. D. Engineering College, Ahmedabad, Gujarat, India
Bakul Panchal
Department of Information Technology, L. D. Engineering College, Ahmedabad, Gujarat, India
Date of Publication :
2015-12-25
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
182-184
Manuscript Number :
IJSRSET151639
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET151639