Sung-Hyuk Park

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Drawing from the social and relational perspectives, this study offers an innovative conceptualization and operational approach regarding the validation of self-reported customer demographic data, which has become an essential corporate asset for harnessing business intelligence. Specifically, based on social network and homophily paradigms in which(More)
User profile data (for example, age and sex) is usually self-reported by users, so it is prone to human errors or biases. For example, a user can be reluctant to provide a company with private information such as his/her actual age upon subscription, thus the user either does not fill in the age column or put in some random numbers to avoid unwanted privacy(More)
We investigated the protective effects of pine bark extract (pycnogenol®, PYC) against cisplatin-induced hepatotoxicity and oxidative stress in rats. Twenty-four male rats were divided into the following four groups: (1) vehicle control, (2) cisplatin (7.5 mg/kg), (3) cisplatin & PYC 10 (10 mg/kg/day), and (4) cisplatin & PYC 20 (20 mg/kg/day). A single(More)
Customer profile data used in information systems such as recommender systems and collaborative customer relationship management system should be reliable. However, it is hard to maintain high quality of customer profile data because profile information is usually self-reported by users who do not always want to throw their profiles to the company. This(More)
Internet based information technology has provided the paradigm shift from Pareto principle to long tail phenomenon. However, the advent of small size mobile devices with higher search costs raises a negative question on this paradigm shift. The aim of this study is investigating the negative impact of mobile devices on niche product consumption. We collect(More)
The Association Rule Mining is the traditional mining technique which identifies the frequent itemsets from the databases and this technique generates the rules by considering the each items. The traditional association rule mining fails to obtain the infrequent itemsets with higher profit. Since association rule mining technique treats all the items in the(More)