UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDB06003


Registration ID:
221442

Page Number

14-16

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Title

Multi Output Gaussian Processes for Data Imputation using KNA

Abstract

These days transportation systems rely increasingly on the convenience and accuracy of traffic detector data to monitor traffic operational conditions and assess system performance. Quality traffic data is an essential for traffic related researches and developing transport applications. There are several techniques to detect the missing data ranging from simply deleting the data to using complex algorithms to impute missing data, traditional methods such as deletion and single imputation and advanced methods such as multiple imputation, model-based procedures, and machine learning techniques. . In this paper, a unique method for missing traffic data imputation is proposed using KNA optimized by a combination of KNN algorithm and SVM. In this method, KNA is the basic algorithm and the parameters of KNA are optimized. Firstly, the patterns of missing traffic data are analysed and the demonstration of missing traffic data is given using matrix-based data structure. Next, traffic data from municipal areas are used to assess spatial-temporal association of the traffic data to resolve.

Key Words

KNA, SVM, KNN, Data mining.

Cite This Article

"Multi Output Gaussian Processes for Data Imputation using KNA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.14-16, June 2019, Available :http://www.jetir.org/papers/JETIRDB06003.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Multi Output Gaussian Processes for Data Imputation using KNA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp14-16, June 2019, Available at : http://www.jetir.org/papers/JETIRDB06003.pdf

Publication Details

Published Paper ID: JETIRDB06003
Registration ID: 221442
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 14-16
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162


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