A SURVEY ON OUTLIER DETECTION FOR UNCERTAIN METEOROLOGY DATA

Abstract

 In recent times climate change has been considered to be the major problem. Meteorology is the study of atmosphere like humidity, pressure, etc. It is important to analyze the hidden knowledge about the huge meteorological data in order to predict the climate from affecting various sectors. So the large data is analyzed, clustered, outliers are removed to predict the climate condition. As the weather data are large and continuous there are chances of many anomalies to be present. In order to remove those anomalies and predict the climatic condition a special outlier analysis is undergone. In this paper, a survey for detecting outlier is discussed.

Authors and Affiliations

K. Masila Devi

Keywords

Related Articles

 Implementation of AOMDV, OLSR & ZRP Protocol for Analysis of Performance Matrices in VANET Scenario

 Vehicular Ad-Hoc Network (VANET) is a wireless technology which is the sub class of the Mobile Ad-Hoc Networks (MANET). In our work we are trying to provide connectivity to vehicles for enabling Intelligent Trans...

 PERFORMANCE ANALYSIS OF DOUBLE SPRING MASS DAMPER SYSTEM FOR VEHICLE SUSPENSION

 The main objective of this paper based on suspension system is to obtain a result and analysis on new model of a suspension system. This model is designed with a normal spring and damper, where it contains two spri...

 ENERGY EFFICIENT LEACH PROTOCOL IN WSN

 A sensor node hold small amount of resources in terms of processor, battery power, memory and communication range, but when a huge number of sensor nodes work together they are able to complete a good volume of tas...

DESIGN AND DEVELOPMENT OF CAR PARKING AND AUTOMATION BILLING SYSTEM

The client uses MS Excel, and also maintains their records, however it is difficult to share the data to number of system in multi user environment, there is lot of duplication of data and chances of mistakes. When the...

DEVELOPMENT AND EVALUATION OF RIMAS (ATOCARPUS ALTILIS PARK FOSBERG) CATSUP

The study was conducted to utilize rimas (artocarpusaltilis park fosberg) for catsup production. The study aimed to evaluate whether rimas catsup possessed desirable characteristics in terms of physical qualities, proxim...

Download PDF file
  • EP ID EP153862
  • DOI -
  • Views 80
  • Downloads 0

How To Cite

K. Masila Devi (2015).  A SURVEY ON OUTLIER DETECTION FOR UNCERTAIN METEOROLOGY DATA. International Journal of Engineering Sciences & Research Technology, 4(12), 203-208. https://europub.co.uk/articles/-A-153862