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pro vyhledávání: '"Yu-Chin Liu"'
Publikováno v:
Intelligent Data Analysis. 25:121-137
A recommendation system is based on the user and the items, providing appropriate items to the user and effectively helping the user to find items that may be of interest. The most commonly used recommendation method is collaborative filtering. Howev
Autor:
Yu-Chin Liu1 ycliu@cc.shu.edu.tw, Yung-Chieh Hsu1 alain.hsu@msa.hinet.net
Publikováno v:
Educational Technology & Society. Jan2013, Vol. 16 Issue 1, p295-308. 14p.
Autor:
Yu-Chin Liu
Publikováno v:
Knowledge-Based Systems. 39:67-78
Traditionally, sequence pattern mining has been used to mine items occurs in time sequences and items were deemed to be irrelevant to each other. However, in real applications, sequence items shown in a record may have some relation. For example, in
Autor:
Yu-Chin Liu, Po-Jung Chen
Publikováno v:
Expert Systems with Applications. 39:1426-1434
One of the essential goals of test designing is to select items with the most discriminative power. In the past, most research has assumed there is no dependent relationship among test items, so that test papers are often produced by selecting items
Autor:
Ping-Yu Hsu, Yu Chin Liu
Publikováno v:
Intelligent Automation & Soft Computing. 17:31-40
With the wide installation of eBusiness and database softwaze in enterprises, mountains of data are accumulating in the form of relational tables. Discovering valuable information from the sea of data is of interest to researchers and managers worldw
Publikováno v:
Information Sciences. 178:3491-3509
Data warehouses are built to reply query searches efficiently from integrated data of various systems. To improve the performance of the system, the issue of materializing views within data warehouses must be explored. This involves to pre-compute a
Autor:
Yu-Chin Liu, Ping-Yu Hsu
Publikováno v:
Expert Systems with Applications. 34:877-888
As data mining techniques are explored extensively, incorporating discovered knowledge into business strategies gives superior competitive advantage to corporations. Most techniques in mining association rules nowadays are designed to solve problems
Autor:
Ping-Yu Hsu, Yu-Chin Liu
Publikováno v:
Pattern Recognition and Data Mining ISBN: 9783540287575
ICAPR (1)
ICAPR (1)
As data mining techniques are explored extensively, incorporating discovered knowledge into business leads to superior competitive advantages. Most techniques in mining association rules nowadays are designed to solve problems based on de-normalized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b991fde335a498492354dac87f87a8f
https://doi.org/10.1007/11551188_40
https://doi.org/10.1007/11551188_40
Autor:
Ping-Yu Hsu, Yu Chin Liu
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540228813
IDEAL
IDEAL
As e-business software prevails worldwide, large amount of data are accumulated automatically in databases of most sizable companies. Managers in organizations now face the problems of making sense out of the data. In this paper, an algorithm to auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87075c96a20bde30d84f59503b611f7d
https://doi.org/10.1007/978-3-540-28651-6_54
https://doi.org/10.1007/978-3-540-28651-6_54
Autor:
Yu-Chin Liu, Ping-Yu Hsu
Publikováno v:
Intelligent Automation & Soft Computing; Jan2011, Vol. 17 Issue 1, p31-40, 10p, 2 Diagrams, 2 Charts, 2 Graphs