http://hdl.handle.net/10397/1323 Search the Channel search http://repository.lib.polyu.edu.hk/jspui/simple-search http://hdl.handle.net/10397/5756 Title: A multi agent based model for airport service planning<br/><br/>Authors: Ip, W. H.; Cho, Wing-sing Vincent; Chung, Nick; Ho, To-sum<br/><br/>Abstract: Aviation industry is highly dynamic and demanding in nature that time and safety are the two most important factors while one of the major sources of delay is aircraft on ground because of it complexity, a lot o fmachinery like vehicles are involved and lots of communication are involved. As one of the aircraft ground services providers in Hong Kong International Airport, China Aircraft Services Limited (CASL) aims to increase competitiveness by better its service provided while minimizing cost is also needed. One of the ways is to optimize the number of maintenance vehicles allocated in order to minimize chance of delay and also operating costs. In the paper, an agent-based model is proposed for support decision making in vehicle allocation. The overview of the aircrafts ground services procedures is firstly mentioned with different optimization methods suggested by researchers. Then, the agent-based approach is introduced and in the latter part of report and a multi-agent system is built and proposed which is decision supportive for CASL in optimizing the maintenance vehicles’ allocation. The application provides flexibility for inputting number of different kinds of vehicles, simulation duration and aircraft arrival rate in order to simulation different scenarios which occurs in HKIA.<br/><br/>Description: DOI: 10.5772/9718 Fri, 01 Jan 2010 00:00:00 GMT http://hdl.handle.net/10397/5755 Title: A financial data mining model for extracting customer behavior<br/><br/>Authors: Mak, Mark K. Y.; Ho, To-sum; Ting, S. L.<br/><br/>Abstract: Facing the problem of variation and chaotic behavior of customers, the lack of sufficient information is a challenge to many business organizations. Human analysts lacking an understanding of the hidden patterns in business data, thus, can miss corporate business opportunities. In order to embrace all business opportunities, enhance the competitiveness, discovery of hidden knowledge, unexpected patterns and useful rules from large databases have provided a feasible solution for several decades. While there is a wide range of financial analysis products existing in the financial market, how to customize the investment portfolio for the customer is still a challenge to many financial institutions. This paper aims at developing an intelligent Financial Data Mining Model (FDMM) for extracting customer behavior in the financial industry, so as to increase the availability of decision support data and hence increase customer satisfaction. The proposed financial model first clusters the customers into several sectors, and then finds the correlation among these sectors. It is noted that better customer segmentation can increase the ability to identify targeted customers, therefore extracting useful rules for specific clusters can provide an insight into customers' buying behavior and marketing implications. To validate the feasibility of the proposed model, a simple dataset is collected from a financial company in Hong Kong. The simulation experiments show that the proposed method not only can improve the workflow of a financial company, but also deepen understanding of investment behavior. Thus, a corporation is able to customize the most suitable products and services for customers on the basis of the rules extracted.<br/><br/>Description: DOI: 10.5772/50937 Sat, 01 Jan 2011 00:00:00 GMT http://hdl.handle.net/10397/5167 Title: Delivering knowledge services in the cloud<br/><br/>Authors: Sabetzadeh, Farzad; Tsui, Eric<br/><br/>Abstract: Cloud computing has become a buzzword in various academic and business domains in recent years. The purpose of this paper is to look into this term within a different proposition as a knowledge delivery ecosystem instead of being merely a model for technology deployment. This paper tries to explore various topics and resources in recent years which have appeared in both scientific and business literatures that focus on providing “knowledge-as-a–service” (KaaS) based on the cloud’s value-added environment.<br/><br/>Description: DOI: 10.4018/jkss.2011100102 Sat, 01 Oct 2011 00:00:00 GMT http://hdl.handle.net/10397/5164 Title: From skills and competencies to outcome-based collaborative work: tracking a decade's development of personal knowledge management (PKM) models<br/><br/>Authors: Cheong, Ricky K. F.; Tsui, Eric<br/><br/>Abstract: In the area of knowledge management, existing and past research has tended to focus on the enterprise level. The topic of personal knowledge management (PKM) has only seen growth recently although PKM is not new, as our ancestors sought ways to learn better and to improve their knowledge. However, there are very little empirical researches, or significant conceptual development has been done with PKM, and there is lacking paper to evaluate the previous PKM literatures. This paper aims to provide a critical review of the published literature related to PKM and the PKM models. From the previous literatures, it is clear that PKM is playing an important role at individual, organization, and social level. PKM has evolved from mere individual activities to something that are more outcome/impact oriented; from information handling skills to personal competencies, sense making, and self-reflection; from individual focused to a community and social collaborative focused. A new PKM model is developed based on the recent research done by the authors. There are four core components in this new PKM model, namely personal information management, personal knowledge internalization, personal wisdom creation, and interpersonal knowledge transferring. At the end of this paper, the Web 2.0-based PKM tools was evaluated and important roles were identified to facilitate the practicing of PKM.<br/><br/>Description: DOI: 10.1002/kpm.380 Fri, 01 Jul 2011 00:00:00 GMT