{"product_id":"data-construction-method-for-small-sample-sets-von-hsiao-fan-wang-und-chun-jung-huang","title":"Data Construction Method for Small Sample Sets","description":"\u003cp\u003eData Construction Method (DCM) based on the multiset  division is proposed. The DCM can not only generate  addition data within the domain value of the given  sample for revealing the data's patterns, but also  creates the membership function from the generated  data for further applications. In this way, the DCM  is taken to filling up the information gaps caused  by small-sample-sets. To demonstrate the effectiveness of DCM, after  presenting the DCM's theoretic background,  properties, and algorithm, we compared the DCM with  several existing approaches in estimating the  population mean and improving the supervised neural  network learning performance. The results show that  the DCM performs better in a comparative manner.     To show its applicability, we have applied the  membership function derived from the DCM data to the  studies of predicting the severe earthquakes in  Taiwan and forecasting the psychotic episode of  individual schizophrenics. The results have shown  that the DCM can provide appropriate references for  prediction from both spatial and temporal small data  sets.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783838398372\"\u003e\u003ch3\u003eTheory and Applications\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783838398372","offer_id":39469257031773,"sku":"9783838398372","price":68.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/37c92cda-d477-4a6a-adfc-afc4510e9c40.jpg?v=1769147962","url":"https:\/\/shop.autorenwelt.de\/products\/data-construction-method-for-small-sample-sets-von-hsiao-fan-wang-und-chun-jung-huang","provider":"Autorenwelt Shop","version":"1.0","type":"link"}