| dc.contributor | 資管系 | |
| dc.creator (作者) | Lin, Mu-Hua;Hong, C.-F.;Yang, Hsiao-Fang;Wang, A.-L. | |
| dc.date (日期) | 2013 | |
| dc.date.accessioned | 21-May-2015 17:31:51 (UTC+8) | - |
| dc.date.available | 21-May-2015 17:31:51 (UTC+8) | - |
| dc.date.issued (上傳時間) | 21-May-2015 17:31:51 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75288 | - |
| dc.description.abstract (摘要) | Our research pointed out that traditional Data Mining (DM) only construct clusters of consuming products and does not use the relation of consuming products to explore the relation between consumers to develop consuming tribes. So, the social science is not easily for observing any social behavior from result of DM. Our model tend to break through this neck bottle to transform the clusters of mostly bought product to consuming tribes and to find out weak ties, who roams over tribes. And this social phenomenon will bring important information for us, what innovative use of new products will blow a tornado in future. | |
| dc.format.extent | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Studies in Computational Intelligence, 423, 91-106 | |
| dc.subject (關鍵詞) | innovative creation; roaming among tribes; social phenomenon; tribe | |
| dc.title (題名) | Framework of early adopters roaming among tribes for discovering innovative creation | |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1007/978-3-642-30114-8-7 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/978-3-642-30114-8-7 | |
