分发 发表于 2025-3-25 04:40:35

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Expand 发表于 2025-3-25 11:01:55

Introduction to Applied Mineralogyh large sample size. Further, we aim to demonstrate how machine learning application can help us selecting the best appropriate exploratory variables. We elucidate several machine learning applications for predicting the best independent variables. Further implication of Probit and Ordered Probit mo

explicit 发表于 2025-3-25 13:05:21

Introduction to Applied Mineralogyvation activities; the extent of innovation; factors characterizing an innovating firm; the types of innovation and the factors that drive and enable them. Following the definition of Big Data, we drawn the data from a large representative survey from 2007 and 2015 of Malaysian manufacturing firms.

Synchronism 发表于 2025-3-25 19:49:47

https://doi.org/10.1007/978-981-15-6300-3Decision to innovate; Cost of innovation; Innovation activities; SMEs; Chain Linked model; Linear model

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开始从未 发表于 2025-3-26 00:44:51

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小教堂 发表于 2025-3-26 12:09:00

SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/b/image/185632.jpg

anatomical 发表于 2025-3-26 13:45:19

2191-530Xwas also compared with the results of conventional statistical methods. The implications of the findings of the study for increasing the pace of innovation are also discussed..978-981-15-6299-0978-981-15-6300-3Series ISSN 2191-530X Series E-ISSN 2191-5318

Freeze 发表于 2025-3-26 18:58:24

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查看完整版本: Titlebook: Big Data Approach to Firm Level Innovation in Manufacturing; Industrial Economics Seyed Mehrshad Parvin Hosseini,Aydin Azizi Book 2020 The