Zobrazeno 1 - 10
of 141
pro vyhledávání: '"James N. K. Liu"'
Publikováno v:
Information Sciences. 428:62-75
The Radial Basis Function Neural Network (RBFNN) model is one of the most popular Feedforward Neural Network architectures. Calculating the proper RBF centers efficiently is one of the key problems in the configuration of an RBFNN model. In previous
Publikováno v:
Industrial Management & Data Systems. 117:672-687
Purpose Comparative opinions widely exist in online reviews as a common way of expressing consumers’ ideas or preferences toward certain products. Such opinion-rich texts are key proxies for detecting product competitiveness. The purpose of this pa
Publikováno v:
International Journal of Machine Learning and Cybernetics. 9:1-3
Publikováno v:
Expert Systems with Applications. 42:21-50
This paper firstly studied the link prediction ensemble for local information based algorithms.The integration of individual algorithms is finished via OWA operator.Experimental results reveal the better performances of our proposed link prediction e
Publikováno v:
Expert Systems with Applications. 41:6890-6903
Skyline operation is typical multicriteria decision making well documented in data engineering. The assumption of skyline operation is settled human preference, which may be subject to huge challenges in practical decision-making applications because
Publikováno v:
Information Sciences. 275:83-100
Attribute reduction is one of the core problems in Rough Set (RS) theory. In the Variable Precision Rough Set (VPRS) model, attribute reduction faces two difficulties: firstly, in the VPRS model, a reduct anomaly problem may arise and it may cause an
Autor:
James N. K. Liu, Elaine Yulan Zhang
Publikováno v:
International Journal of Hospitality Management. 39:71-83
When there are more and more online hotel bookers, it is important for industry players to know why travelers prefer one online booking channel among others. To have a better understanding of the channel selecting criteria, a purchase intention model
Autor:
James N. K. Liu, Lucas K. C. Lai
Publikováno v:
Computer Science and Information Technology. 2:30-39
This paper explores the Support Vector Machine and Least Square Support Vector Machine models in stock forecasting. Three prevailing forecasting techniques - General Autoregressive Conditional Heteroskedasticity (GARCH), Support Vector Regression (SV
Autor:
Junyi Chai, James N. K. Liu
Publikováno v:
Expert Systems with Applications. 41:92-104
We consider the issue of supplier selection by using rule-based methodology. Supplier Selection (SS) is an important activity in Logistics and Supply Chain Management in today's global market. It is one of major applications of Multiple Criteria Deci
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 25:425-439
In order to meet the requirement of customised services for online communities, sentiment classification of online reviews has been applied to study the unstructured reviews so as to identify users’ opinions on certain products. The purpose of this