Interactive Temporal Association Analytics - Elke Rundensteiner,Ramoza Ashan,Xiao Qin
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Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
Nowadays batches of data are continuously transmitted from a rich variety of sources including websites, mobile devices and other data sources, henceforth referred to as evolving datasets. Discovering associations and their dynamics hidden in such large evolving datasets has been recognized as critical for domains ranging from market products analysis, stock trend monitoring, targeted advertising to weather ... Pilns apraksts
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Aprašymas
Nowadays batches of data are continuously transmitted from a rich variety of sources including websites, mobile devices and other data sources, henceforth referred to as evolving datasets. Discovering associations and their dynamics hidden in such large evolving datasets has been recognized as critical for domains ranging from market products analysis, stock trend monitoring, targeted advertising to weather forecasting.
Vairāk informācijas
| Autors | Elke Rundensteiner, Ramoza Ashan, Xiao Qin |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2017 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783330057067 |