TY - GEN
T1 - Discovery of Spatial Patterns of Types of Cooking Fuels Used in the Districts of India Using Spatial Data Mining
AU - Shafeeq, B. M.Ahamed
AU - Ansari, Zahid Ahmed
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - The key objective of this research paper is to apply data processing techniques to research the patterns of cooking fuels utilized in India. In a couple of years, the applications of spatial data analytical techniques have spread to most of the fields. The spatial data repository is growing day by day exponentially. The main intention of this paper is to identify the clusters of cooking fuel usage and to seek out the correlation between the different types of cooking fuels used. Every household requires energy to satisfy most of the essential requirements. Household air pollution from cooking with polluting fuels is recognized as a major cause of health hazards. There is poor knowledge of the health effects of prolonged exposure to smoke from unclean cooking fuels among residents. Residents are either unaware or neglect the health impacts of persistent exposure to smoke from polluting cooking fuels, and this leads to serious concerns of indoor air pollution. The local body has to be very proactive in guiding/educating the residents on the health effects of the use of unclean indoor cooking fuel. The administration can use the result of the study to scale back or to seek out the alternate resources of less-polluting cooking fuels. Spatial data processing is a powerful method to extract very much essential and useful information from the large spatial databases.
AB - The key objective of this research paper is to apply data processing techniques to research the patterns of cooking fuels utilized in India. In a couple of years, the applications of spatial data analytical techniques have spread to most of the fields. The spatial data repository is growing day by day exponentially. The main intention of this paper is to identify the clusters of cooking fuel usage and to seek out the correlation between the different types of cooking fuels used. Every household requires energy to satisfy most of the essential requirements. Household air pollution from cooking with polluting fuels is recognized as a major cause of health hazards. There is poor knowledge of the health effects of prolonged exposure to smoke from unclean cooking fuels among residents. Residents are either unaware or neglect the health impacts of persistent exposure to smoke from polluting cooking fuels, and this leads to serious concerns of indoor air pollution. The local body has to be very proactive in guiding/educating the residents on the health effects of the use of unclean indoor cooking fuel. The administration can use the result of the study to scale back or to seek out the alternate resources of less-polluting cooking fuels. Spatial data processing is a powerful method to extract very much essential and useful information from the large spatial databases.
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U2 - 10.1007/978-981-15-8603-3_31
DO - 10.1007/978-981-15-8603-3_31
M3 - Conference contribution
AN - SCOPUS:85097105864
SN - 9789811586026
T3 - Advances in Intelligent Systems and Computing
SP - 349
EP - 364
BT - Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications - ICHSA 2020
A2 - Nigdeli, Sinan Melih
A2 - Bekdas, Gebrail
A2 - Kim, Joong Hoon
A2 - Yadav, Anupam
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020
Y2 - 22 April 2020 through 24 April 2020
ER -