Recent Developments in Granular Computing: A Bibliometrics Study (2009)
This is a follow-up of the paper “A ten-year review of granular computing ” published in 2007. We will continue to examine the most influential papers in granular computing. Based on the analysis...
GRANULAR COMPUTING: A NEW PARADIGM IN INFORMATION PROCESSING (2009)
Granular computing (GrC) has emerged as one of the fastest growing information processing paradigm in computational intelligence and human-centric systems. It has been gaining popularity in the past...
Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre (2008)
Yiyu Yao, Jingtao Yao, Cory Butz, Pawan Lingras, Dawn Jutla
The WIC Canada Research Centre 1 is one of the centres under the Web Intelligence Consortium 2.Dr.YiyuYao 3 serves as the Director and Dr. JingTao Yao 4 serves as the Co-ordinator of WIC Canada....
RSKT07 Chairs RSFDGrC07 Chairs JRS07 Publicity Chairs (2008)
Setsuo Ohsuga, York U, Setsuo Ohsuga, Lotfi A. Zadeh, Dominik Slezak, Guoyin Wang, ...
includes different concepts and approaches to information technologies. As a result, JRS07 covers a very wide area of information science. It is an exciting attempt because information is itself a...
Web-Based Support Systems with Rough Set Analysis (2008)
Jingtao Yao, Joseph P. Herbert
Abstract. Rough sets have been applied to many areas where multiattribute data is needed to be analyzed to acquire knowledge for decision making. Web-based Support Systems (WSS) are a new research...
Chapter 8 GTSOM: GAME THEORETIC SELF- ORGANIZING MAPS (2008)
Abstract Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Input vectors are compared to neuron weight vectors to form the SOM structure. An update of a...
Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre (2008)
Yiyu Yao, Jingtao Yao, Cory Butz, Pawan Lingras, Dawn Jutla
The WIC Canada Research Centre 1 is one of the centres
ATen-yearReviewofGranularComputing (2008)
The year 2007 marks the 10th anniversary of the introduction of granular computing research. We have experienced the emergence and growth of granular computing research in the past ten years. It is...
Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre (2008)
Yiyu Yao, Jingtao Yao, Cory Butz, Pawan Lingras, Dawn Jutla
The WIC Canada Research Centre 1 is one of the centres
Web-based Dynamic Delphi: a New Survey Instrument (2008)
We present a mathematical model for a dynamic Delphi survey method which takes advantages of Web technology. A comparative study on the performance of the conventional Delphi method and the dynamic...
An Enhanced Support Vector Machine Model for Intrusion Detection (2008)
Jingtao Yao, Songlun Zhao, Lisa Fan
Abstract. Design and implementation of intrusion detection systems remain an important research issue in order to maintain proper network security. Support Vector Machines (SVM) as a classical...
LEVEL-WISE CONSTRUCTION OF DECISION TREES FOR CLASSIFICATION (2008)
Yan Zhao, Yiyu Yao, Jingtao Yao
A partition-based framework is presented for a formal study of classification problems. An information table is used as a knowledge representation, in which all basic notions are precisely defined by...
A Comparative Study on Marketing Mix Models for Digital Products ⋆ (2008)
Kanliang Wang, Yuan Wang, Jingtao Yao
Abstract. The rise of the Internet and electronic commerce provide a huge marketspace and unique transaction process for digital products. It is significant to discuss whether established marketing...
Web-based Support Systems with Rough Set Analysis (2008)
Jingtao Yao, Joseph P. Herbert
Abstract. Rough sets have been applied to many areas where multiattribute data is needed to be analyzed to acquire knowledge for decision making. Web-based Support Systems (WSS) are a new research...
J.T.: A game-theoretic approach to competitive learning in self-organizing maps (2008)
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neuron that is most...
Supporting Online Learning with Games (2008)
Jingtao Yao, Dongwon Kim, Joseph P. Herbert
This paper presents a study on Web-based learning support systems that is enhanced with two major subsystems: a Webbased learning game and a learning-oriented Web search. The Internet and the Web may...
Ecommerce Adoption Of Insurance Companies In New Zealand (2007)
Electronic commerce is causing fundamental changes in the insurance industry. The New Zealand insurance industry is well positioned to benefit from electronic commerce due to the high level of online...
Web-based support systems (2003)
Abstract. Web-based Support Systems (WSS) is viewed as a multidisciplinary research that focuses on supporting human activities in specific domains or fields based on computer science, information...
A Study on Training Criteria for Financial Time Series Forecasting (2001)
Traditional backpropagation neural networks training criterion is based on goodness-of-fit which is also the most popular criterion forecasting. How ever, in the context of financial time series...
Guidelines for Financial Forecasting with Neural Networks (2001)
Jingtao Yao, Palmerston North, Chew Lim Tan
Neural networks are good at classification, forecasting and recognition. They are also good candidates of financial forecasting tools. Forecasting is often used in the decision making process. Neural...
Time dependant Directional Profit Model for Financial Time Series Forecasting (2000)
Goodness-of-fit is the most popular criterion for neural network time series forecasting. In the context of financial time series forecasting, we are not only concerned at how good the forecasts fit...
A Case Study on Using Neural Networks to Perform Technical Forecasting of Forex (2000)
This paper reports empirical evidence that a neural network model is applicable to the prediction of foreign exchange rates. Time series data and technical indicators, such as moving average, are fed...
Neural Networks for Technical Analysis: A Study on KLCI (1999)
Jingtao Yao, Chew Lim Tan, Hean-lee Poh
This paper presents a study of artificial neural nets for use in stock index forecasting.
Neural Networks for Technical Analysis: A Study on KLCI (1999)
Jingtao Yao, Chew Lim Tan, Hean-lee Poh
This paper presents a study of artificial neural nets for use in stock index forecasting. The data from a major emergingmarket, Kuala Lumpur Stock Exchange, are applied as a case study. Based on the...
Forecasting and analysis of marketing data using neural networks (1998)
Jingtao Yao, Nicholas Teng, Hean-lee Poh, Lim Tan
Decision Support System (MDSS), specifically, by discovering important variables that influence sales performance of colour television (CTV) sets in the Singapore market using neural networks. Three...
Forecasting and Analysis of Marketing Data Using Neural Networks (1998)
Jingtao Yao, Nicholas Teng, Hean-lee Poh, Chew Lim Tan
This study aims to incorporate Artificial Neural Networks into a Marketing Decision Support System (MDSS), specifically, by discovering important variables that influence sales performance of colour...
Neural Networks for the Analysis and Forecasting of Advertising and Promotion Impact (1997)
Hean-lee Poh, Jingtao Yao, Teo Jasic
Allocating advertising expenses and forecasting total sales levels are the key issues in retailing, especially when many products are covered and significant cross-effects among products are likely....
Forecasting the Exchange Rates of CHF vs USD Using Neural networks (1997)
Jingtao Yao, Name Jingtao, Yili Li, Chew Lim Tan, Lim Tan
In this paper, an experimental research based on a neural network forecasting methodology is discussed. The exchange rates between Swiss Franc and American Dollar are predicted a reasonable...
Foreign Exchange Rates Forecasting with Neural Networks (1996)
Jingtao Yao, Hean-lee Poh, Teo Jasic
In this paper, a neural network based foreign exchange rates forecasting method is discussed. Neural networks with time series and technical indicators as inputs are built to capture the underlying...
Forecasting The KLSE Index Using Neural Networks (1995)
Neural networks have been actively researched by computer scientists and engineers for many years. They have captured the attention of business community in recent years and potential applications of...
Equity Forecasting: A Case Study on the KLSE Index (1995)
This paper presents the research of neural networks as applied in equity forecasting in an emerging market such as the Kuala Lumpur Stock Exchange(KLSE). Backpropagation neural networks are used to...
Option price forecasting using neural networks
Yao, Jingtao, Li, Yili, Tan, Chew Lim
In this research, forecasting of the option prices of Nikkei 225 index futures is carried out using backpropagation neural networks. Different results in terms of accuracy are achieved by grouping...