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Interval-Valued Data Analysis


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1 Indian Institute of Management, Ahmedabad, Gujarat, India
     

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Interval-valued data arise in real-life in many different ways. Weather data published daily in newspapers contains only the maximum and minimum temperature readings during a day for a city, stock market data contains the highest and lowest traded price of a stock or a stockindex on a day etc. In the Big Data context often data are aggregated for certain features of interest giving rise to interval-valued data.
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  • Interval-Valued Data Analysis

Abstract Views: 245  |  PDF Views: 1

Authors

Arnab Kumar Laha
Indian Institute of Management, Ahmedabad, Gujarat, India

Abstract


Interval-valued data arise in real-life in many different ways. Weather data published daily in newspapers contains only the maximum and minimum temperature readings during a day for a city, stock market data contains the highest and lowest traded price of a stock or a stockindex on a day etc. In the Big Data context often data are aggregated for certain features of interest giving rise to interval-valued data.