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  • Search: subject:"formation patterns"
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Subject
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Bangladesh 1 Chamoli 1 China 1 Dhaka 1 Grounded Theory 1 Grounded theory 1 Grounded theory approach 1 Himachal Pradesh 1 India 1 OLAP 1 Pittorgarh 1 Shimla 1 Status-based subgroup 1 Subgroup formation patterns 1 Subgroup formation sources 1 Uttarakhand 1 cloudburst formations 1 cloudbursts 1 clouds 1 cluster analysis 1 convergence 1 data analysis strategies 1 data analysis techniques 1 data hypercubes 1 data mining 1 data warehouses 1 dimension modelling 1 divergence 1 forecasting 1 forecasts 1 formation patterns 1 grid-points 1 idiosyncratic behaviour 1 k-means clustering 1 man-machine mix 1 meteorological datasets 1 meteorology 1 multidimensional data models 1 numerical weather prediction 1 online analytical processing 1
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Undetermined 2
Type of publication
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Article 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 1 Undetermined 1
Author
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Datta, Rattan K. 1 Deng, Wei 1 Liang, Qiaozhuan 1 Pabreja, Kavita 1 Zhang, Yue 1
Published in...
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International Journal of Data Analysis Techniques and Strategies 1 Journal of business and psychology 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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Stratification or polarization : a qualitative study of the formation of status-based subgroups in China
Zhang, Yue; Liang, Qiaozhuan; Deng, Wei - In: Journal of business and psychology 39 (2024) 1, pp. 159-186
Persistent link: https://www.econbiz.de/10014494326
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A data warehousing and data mining approach for analysis and forecast of cloudburst events using OLAP-based data hypercube
Pabreja, Kavita; Datta, Rattan K. - In: International Journal of Data Analysis Techniques and … 4 (2012) 1, pp. 57-82
The multidimensional data model can be effectively utilised for analysing huge and detailed meteorological datasets forecasted by numerical weather prediction (NWP) model. The model cannot predict any weather event directly. The output products of model are interpreted by man-machine mix to...
Persistent link: https://www.econbiz.de/10010669741
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