In Thailand e-banking has been offered by various financial institutes including Thai commercial banks and government banks. However, e-banking in Thailand is not widely used and accepted as in other countries. Accordingly, the study of e-banking is scantly due to the limitation of data confidentiality. This study uses data mining techniques to analyse historical data of e-banking usages from a commercial bank in Thailand. These techniques including SOMS, K-Mean algorithm and marketing techniques-RFM analysis are used to segment customers into groups according to their personal profiles and e-banking usages. Then Apriori algorithm is applied to detect the relationships within features of e-banking services. Typically, results of this study are presented and can be used to generate new service packages which are customised to each segment of e-banking users.
Several components contribute to handover delay of Mobile IPv6, namely, movement detection time, address configuration time, binding registration time, and route optimization time. Through testbed experiments, we found that the dominating delay component is the address configuration time, which is the time required to configure a new globally routable IPv6 address on the mobile node after it moves to a foreign network. A typical process of IPv6 address configuration requires a duplicate address detection (DAD) procedure. During DAD, a mobile node sends a neighbor solicitation message to ask whether its new address is being used. If no node replies within a set timer, a mobile node can assume the new address is unique on that network. On the Linux testbed, DAD takes as much as 1 second, which causes intolerable disruption in case of time-critical applications. This work studies techniques for reducing delay during the DAD procedure. Main contributions of this work are the insights into benefits and shortcomings of different DAD techniques, as well as benchmarks for design of future DAD protocols.
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