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Comparative Study of Classification Techniques for Weather Data

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Advances in Computing and Data Sciences (ICACDS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 721))

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Abstract

Data mining techniques are widely used to analyze the large amount of data. Classification is an important technique which classifies data of various real world applications. This paper aims to compare the performance of classification algorithms for weather data using Waikato Environment for Knowledge Analysis (WEKA). Performance analysis done using cross fold and training set method. The best algorithm found was J48 Decision Tree classifier with highest accuracy and minimum error as compared to others.

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Author information

Authors and Affiliations

  1. Centre for Environment Science and Climate Resilient Agriculture, Indian Agricultural Research Institute, New Delhi, 110 012, India

    Shweta Panjwani & S. Naresh Kumar

  2. Amity Institute of Information Technology, Amity University, Noida, Uttar Pradesh, India

    Laxmi Ahuja

Authors
  1. Shweta Panjwani
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  2. S. Naresh Kumar
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  3. Laxmi Ahuja
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Corresponding author

Correspondence to Shweta Panjwani .

Editor information

Editors and Affiliations

  1. Krishna Engineering College, Ghaziabad, Uttar Pradesh, India

    Mayank Singh

  2. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Raghogarh, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Indira Gandhi Delhi Technical University, New Delhi, India

    Arun Sharma

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, Canada

    Tuncer Ören

  6. Department of Computer and Information Science, University of Michigan-Dearborn, Dearborn, Michigan, USA

    William Grosky

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© 2017 Springer Nature Singapore Pte Ltd.

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Panjwani, S., Naresh Kumar, S., Ahuja, L. (2017). Comparative Study of Classification Techniques for Weather Data. In: Singh, M., Gupta, P., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds) Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore. https://doi.org/10.1007/978-981-10-5427-3_58

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  • DOI: https://doi.org/10.1007/978-981-10-5427-3_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5426-6

  • Online ISBN: 978-981-10-5427-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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