An Approach to Spatial Data Classification Using Dictionary Based Sequence Classifier

Authors

  • P. D. Sheena Smart  Department of Computer Science, S.T.Hindu College, Nagercoil, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli, 627012, India
  • Dr. K. K. Thanammal  Associate Professor, Department of Computer Science, S.T.Hindu College, Nagercoil, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli, 627012, India

Keywords:

Data mining, soft computing, classifier, dictionary

Abstract

Data mining and soft computing techniques have been developed to an extend that it becomes possible to automatically mine knowledge from spatial data. Classification problem is prevailing in various disciplines. Developing effective classifier is more challenging for researchers. It is not possible for a single classifier to be highly effective to work with all types of datasets. Therefore classifiers vary based on data distribution. In this paper we propose a classifier called Dictionary based Sequence Classifier (DBSC) technique which classifies the spatial data.this technique classifies the datas from a weather dataset. This method first extracts the features from learned dictionary. Then the attributes are sorted and objects classified using a sequence classifier.

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International Journal of Scientific Research in Science and Technology

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Published

2021-04-10

Issue

Volume 9, Issue 1, March-April-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
P. D. Sheena Smart, Dr. K. K. Thanammal, " An Approach to Spatial Data Classification Using Dictionary Based Sequence Classifier , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.440-447, March-April-2021.