Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hui-Fang Hsiao"'
Autor:
HUI-FANG HSIAO, 蕭惠芳
98
Organizations need to embed in an environment where the organization can rely on to acquire necessary resources for survival or growth, and simultaneously expose to certain circumscribing forces. As the most institutional theorist advocated,
Organizations need to embed in an environment where the organization can rely on to acquire necessary resources for survival or growth, and simultaneously expose to certain circumscribing forces. As the most institutional theorist advocated,
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/20080268860773220163
Autor:
Hui-Fang Hsiao, 蕭惠方
94
This thesis uses 14 financial holding banks (FHBs) in Taiwan as research data collected for the period from December 2002 to December 2004. Based on financial accounts of the risky asset returns and the administrative costs, the optimal capit
This thesis uses 14 financial holding banks (FHBs) in Taiwan as research data collected for the period from December 2002 to December 2004. Based on financial accounts of the risky asset returns and the administrative costs, the optimal capit
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/53627991742221440729
Publikováno v:
Knowledge and Information Systems. 37:363-387
Mining user behavior patterns in mobile environments is an emerging topic in data mining fields with wide applications. By integrating moving paths with purchasing transactions, one can find the sequential purchasing patterns with the moving paths, w
Autor:
Jeng-Fu Kuo, Shih-Te Tu, Ke-Hong Lin, Mei-Jung Lin, Jung-Min Chen, Hui-Fang Hsiao, Ya-Leng Jhang, Shi-Dou Lin, Maw-Soan Soon, Ming-Chia Hsieh
Publikováno v:
American journal of medical quality : the official journal of the American College of Medical Quality. 29(5)
Publikováno v:
New Frontiers in Applied Data Mining ISBN: 9783642283192
PAKDD Workshops
PAKDD Workshops
Mining user behavior patterns in mobile environments is an emerging topic in data mining fields with wide applications. By integrating moving paths with purchasing transactions, one can find the sequential purchasing patterns with the moving paths, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a09c34ace05a8ed4741271fe79f76dd
https://doi.org/10.1007/978-3-642-28320-8_7
https://doi.org/10.1007/978-3-642-28320-8_7
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642201486
DASFAA (1)
DASFAA (1)
Mining user behaviors in mobile environments is an emerging and important topic in data mining fields. Previous researches have combined moving paths and purchase transactions to find mobile sequential patterns. However, these patterns cannot reflect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4871a2ac8e7d983c272c500f4980a91d
https://doi.org/10.1007/978-3-642-20149-3_18
https://doi.org/10.1007/978-3-642-20149-3_18