• Asia pacific journal of information systems
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• v.18 no.2
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• pp.95-114
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• 2008

Recent interests in data mining result from the expansion of the amount of business data and the growing business needs for extracting valuable knowledge from the data and then utilizing it for decision making process. In particular, recent advances in association rule mining techniques enable us to acquire knowledge concerning sales patterns among individual items from the voluminous transactional data. Certainly, one of the major purposes of association rule mining is to utilize acquired knowledge in providing marketing strategies such as cross-selling, sales promotion, and shelf-space allocation. In spite of the potential applicability of association rule mining, unfortunately, it is not often the case that the marketing mix acquired from data mining leads to the realized profit. The main difficulty of mining-based profit realization can be found in the fact that tremendous numbers of patterns are discovered by the association rule mining. Due to the many patterns, data mining experts should perform additional mining of the results of initial mining in order to extract only actionable and profitable knowledge, which exhausts much time and costs. In the literature, a number of interestingness measures have been devised for estimating discovered patterns. Most of the measures can be directly calculated from what is known as a contingency table, which summarizes the sales frequencies of exclusive items or itemsets. A contingency table can provide brief insights into the relationship between two or more itemsets of concern. However, it is important to note that some useful information concerning sales transactions may be lost when a contingency table is constructed. For instance, information regarding the size of each market basket(i.e., the number of items in each transaction) cannot be described in a contingency table. It is natural that a larger basket has a tendency to consist of more sales patterns. Therefore, if two itemsets are sold together in a very large basket, it can be expected that the basket contains two or more patterns and that the two itemsets belong to mutually different patterns. Therefore, we should classify frequent itemset into two categories, inter-pattern co-occurrence and intra-pattern co-occurrence, and investigate the effect of the market basket size on the two categories. This notion implies that any interestingness measures for association rules should consider not only the total frequency of target itemsets but also the size of each basket. There have been many attempts on analyzing various interestingness measures in the literature. Most of them have conducted qualitative comparison among various measures. The studies proposed desirable properties of interestingness measures and then surveyed how many properties are obeyed by each measure. However, relatively few attentions have been made on evaluating how well the patterns discovered by each measure are regarded to be valuable in the real world. In this paper, attempts are made to propose two notions regarding association rule measures. First, a quantitative criterion for estimating accuracy of association rule measures is presented. According to this criterion, a measure can be considered to be accurate if it assigns high scores to meaningful patterns that actually exist and low scores to arbitrary patterns that co-occur by coincidence. Next, complementary measures are presented to improve the accuracy of traditional association rule measures. By adopting the factor of market basket size, the devised measures attempt to discriminate the co-occurrence of itemsets in a small basket from another co-occurrence in a large basket. Intensive computer simulations under various workloads were performed in order to analyze the accuracy of various interestingness measures including traditional measures and the proposed measures.

• Economic Analysis
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• v.26 no.1
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• pp.84-132
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• 2020

A central bank infers market expectations of future yields based on yield curves. The central bank needs to precisely understand the changes in market expectations of future yields in order to have a more effective monetary policy. This need explains why a range of models have attempted to produce yield curves and market expectations that are as accurate as possible. Alongside the development of bond markets, the interconnectedness between them and macroeconomic factors has deepened, and this has rendered understanding of what macroeconomic variables affect yield curves even more important. However, the existence of various theories about determinants of yields inevitably means that previous studies have applied different macroeconomics variables when estimating yield curves. This indicates model uncertainties and naturally poses a question: Which model better estimates yield curves? Put differently, which variables should be applied to better estimate yield curves? This study employs the Dynamic Nelson-Siegel Model and takes the Bayesian approach to variable selection in order to ensure precision in estimating yield curves and market expectations of future yields. Bayesian variable selection may be an effective estimation method because it is expected to alleviate problems arising from a priori selection of the key variables comprising a model, and because it is a comprehensive approach that efficiently reflects model uncertainties in estimations. A comparison of Bayesian variable selection with the models of previous studies finds that the question of which macroeconomic variables are applied to a model has considerable impact on market expectations of future yields. This shows that model uncertainties exert great influence on the resultant estimates, and that it is reasonable to reflect model uncertainties in the estimation. Those implications are underscored by the superior forecasting performance of Bayesian variable selection models over those models used in previous studies. Therefore, the use of a Bayesian variable selection model is advisable in estimating yield curves and market expectations of yield curves with greater exactitude in consideration of the impact of model uncertainties on the estimation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.165-175
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• 2012

Recently, accumulation of technology, transfer, absorption, and commercialization is being significantly recognized as a key factor for sustainable growth of the 21st century global economy. The government established "Technology Transfer and Commercialization Promotion Act" In order that the technology developed at public research institutions can be transferred to the private sector and commercialized; the technology developed in the private sector can be traded and commercialized. Also, the Article 14 of "Technology Transfer and Commercialization Promotion Act" is concerning technology transfer agents' registration, promotion, and support: it introduced the special status system of technology transfer agents and the government registers, manages, and supervises it. In most developed countries, the technology transfer agency is transferred to the private sector and it is referred as a technology transfer agent or technology broker. In the domestic market, despite the introduction of the above special status system and the building a various organization and transfer medium system for boosting the market's revitalization, some problems occurred; because the registration system of a technology transfer agent and legal basis and system about its following-up control fall short. For example, recently technology transfer-related performance exemption has brought the activation of technology transfer agent's registration, but there was the limit of selecting the expert above a certain level. Therefore, some countermeasures for this are urgent, In addition, through a compulsory training completion system before the technology trade agent registration is prepared, a short period of curriculum was not sufficient to provide applicants various specialized knowledge. In this research, it is considered about the reform of technology transfer agent through its comparative study in China and Korea. Some improvements are suggested for expanding the market of technology transfer commercialization, assuring the agents' service and strengthening the competitiveness.

• Journal of the Korean Geographical Society
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• v.39 no.4
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• pp.665-682
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• 2004

GIS is considered as a big industry or business in the field of applied sciences. Recently GIS market in Korea is growing rapidly for LBS, Telematics, Web-geographic information services. This paper attempts to focus on the interrelationship between GIS and geography, and the question of how geography emerged out of intellectual trends within GIS to examine possible contribution of geographers in GIS fields. The application of GIS appears to be largely technical in nature. It is important for the GIS operator and the consumer of GIS products to be aware of the geographical concepts that underpin GIS operations. Also it is seen that many departments of geography in Korea have attempted to actively adopt GIS into their education program, with aim to improve the status. GIS has promoted a shift towards applied geography from academic geography. GIS researchers and educators in geography are concerned not with technology, but with the basic concepts and the issues relating to its use, in comparison with other academic fields. It is the responsibility of geography community to make sure that our students receive a geographical education that includes problem-solving, critical thinking and technical capabilities. It is concluded that promoting GIS technology in geography curriculum is essential for the further expansion of geography within GIS and also for the survival of geography.

• Spatial Information Research
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• v.23 no.3
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• pp.101-111
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• 2015

The Emirate of Abu Dhabi is swiftly rising into a newly industrialized country by achieving economic prosperity among the Islamic cultural regions of Middle East and North Africa(MENA). Abu Dhabi Emirate is performing the conversion from oil economy to non-oil economy and the sustainable urban development policy. However, there are various social and environmental problems in Abu Dhabi. In order to solve the urban problems caused by the rapid economic growth and the changes in society and environment, Abu Dhabi is recognizing the importance of spatial information and triggering the establishment of spatial information. Spatial information is regarded as a basic infrastructure for urban construction and enlarged as a blue ocean market in Abu Dhabi. However, the base of spatial data infrastructure in Abu Dhabi is not well managed in comparison to that of Korea. Especially, Abu Dhabi has some characteristics that it depends on foreign multinational companies and it does not have its own systemic organization and law system. To advance into Abu Dhabi spatial data market under-controlled by global vendors, it is necessary to identify the advantage and disadvantage on spatial data infrastructure of Abu Dhabi and required to establish the advance methods into niche markets by considering priority order of spatial information. Thus, this study aims to analyze the gap of spatial information between Abu Dhabi and Korea and suggest the short and long term development methods for spatial data infrastructure of Abu Dhabi. The results of gap analyses will be the milestone for Korean companies' advance into MENA.

• Journal of Food Hygiene and Safety
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• v.13 no.4
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• pp.388-393
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• 1998

Recently there has been an increasing amount of foreign livestock products distributed in the domestic market due to the market opening. Some vicious dealers sell the foreign beef in the trade name of the native beef during the final distribution step to arouse the social criticism frequently. In this report, we investigated a method to distinguish the native beef from the foreign one scientifically using the PCR-RAPD, a recent gene technique. Hygienical safety was also examined using a microbiological test for toxicity of Escherichia coli 0157:H7 and the food poisoning bacteria. The conditions of DNA amplification for the PCR analysis were $1{\times}Taq$ polymerase buffer, 1.5 mM $MgCl_2,\;50\;\mu\textrm{M}$ dNTP, 100 ng primers, 2.5 unit Taq polymerase and 5~20 ng template DNA, with the fmal volume of $50\;\mu\textrm{\ell}$. The size of the amplified product was detected mostly in the range of 0.5~2.0 kbp. The size of DNA, gene marking factor, which could be a criterion distinguishing the native beef from the foreign one, appeared approximately 1.2 kbp. The native beef was distinguished from the foreign beef with more than 90% of confidence by the gene marking factor. This method was expected to be useful in the breed discrimination between the native beef and the foreign one. The hygienical test results showed that, fortunately, neither Salmonella spp. and Listeria monocytogenes which form a principal cause of the food poisoning nor Enterohemorrhagic Escherichia coli : EHEC which have provoked a recent social disturbance, were detected at all.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.39-46
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• 2016

For several decades, Korean corporations have achieved remarkable success in the world market pursuing a quantitative growing strategy by benchmarking developed countries such as the United States, Japan and European Union. Recently, however, since not only the world economy enters into low growth age of New Normal, but the continuously increasing pressure of emerging countries like China and India, the global position of Korean corporations has ruffled. For these reason, the purpose of the study based on searching the strategy for Korean corporations to promote sustainable growth while gaining a competitive advantage in the world market. The study uses two analytical tools, Porter's Diamond Model and Productivity Frontier by analyzing the smart phone industry where Korea, the United States and China are competing desperately. The study is aimed at analyzing and comparing the global competitiveness among Apple as a leader, Samsung Electronics as a follower and Chinese corporations as newcomers in the smart phone industry. Based on the analysis and comparison, the study focuses on searching the strategic decision of Samsung Electronics, and suggests the future strategic positioning of major corporations in different industries in the world market.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.416-424
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• 2011

This study aimed to look into the Korean food consumption behavior, satisfaction, and loyalty between segmented groups through Korean food market segmentation in accordance with brand personality. A survey was conducted to the Japanese residing in Korea and also Japanese tourists in Korea. For the statistic analysis, frequency analysis, factor analysis, anova, $x^2$ and cluster analysis were conducted with Hangul SPSSWIN 19.0. The results of an empirical analysis include the following. First, the brand personality of Korean food was deduced into the following five levels: sincerity, ruggedness, competence, sophistication, and excitement. As a result of stereotyping based on the above, it was classified into three groups involving an excitement pursuing group (18.7%), a sophistication pursuing group (59.7%), and a competence sincerity pursuing group (21.6%). Second, it was found that there was a significant difference in the demographic characteristics and Korean food consumption behavior between segmented groups. Third, there was a significant difference also in satisfaction with and loyalty to Korean food between segmented groups. Specifically, competence and sincerity pursuing groups were discovered to exhibit the highest satisfaction and loyalty when compared with any other of the groups. Accordingly, it would be necessary to conduct a Korean food marketing strategy appropriate for each segmented group.

• Journal of Distribution Science
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• v.11 no.10
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• pp.73-79
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• 2013

Purpose - This study examines the impact of oil price volatility on economic activities in Korea. The new millennium has seen a deregulation in the crude oil market, which invited immense capital inflow into Korea. It has also raised oil price levels and volatility. Drawing on the recent theoretical literature that emphasizes the role of volatility, this paper attends to the asymmetric changes in economic growth in response to the oil price movement. This study further examines several key macroeconomic variables, such as interest rate, production, and inflation. We come to the conclusion that oil price volatility can, in some part, explain the structural changes. Research design, data, and methodology - We use two methodological frameworks in this study. First, in regards to the oil price uncertainty, we use an Exponential-GARCH (Exponential Generalized Autoregressive Conditional Heteroskedasticity: EGARCH) model estimate to elucidate the asymmetric effect of oil price shock on the conditional oil price volatility. Second, along with the estimation of the conditional volatility by the EGARCH model, we use the estimates in a VECM (Vector Error Correction Model). The study thus examines the dynamic impacts of oil price volatility on industrial production, price levels, and monetary policy responses. We also approximate the monetary policy function by the yield of monetary stabilization bond. The data collected for the study ranges from 1990: M1 to 2013: M7. In the VECM analysis section, the time span is split into two sub-periods; one from 1990 to 1999, and another from 2000 to 2013, due to the U.S. CFTC (Commodity Futures Trading Commission) deregulation on the crude oil futures that became effective in 2000. This paper intends to probe the relationship between oil price uncertainty and macroeconomic variables since the structural change in the oil market became effective. Results and Conclusions - The dynamic impulse response functions obtained from the VECM show a prolonged dampening effect of oil price volatility shock on the industrial production across all sub-periods. We also find that inflation measured by CPI rises by one standard deviation shock in response to oil price uncertainty, and lasts for the ensuing period. In addition, the impulse response functions allude that South Korea practices an expansionary monetary policy in response to oil price shocks, which stems from oil price uncertainty. Moreover, a comparison of the results of the dynamic impulse response functions from the two sub-periods suggests that the dynamic relationships have strengthened since 2000. Specifically, the results are most drastic in terms of industrial production; the impact of oil price volatility shocks has more than doubled from the year 2000 onwards. These results again indicate that the relationships between crude oil price uncertainty and Korean macroeconomic activities have been strengthened since the year2000, which resulted in a structural change in the crude oil market due to the deregulation of the crude oil futures.

• Management & Information Systems Review
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• v.31 no.3
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• pp.161-184
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• 2012

This paper is intended to compare the stock market performances of the reorganized firms of South Korea with those of the United States and to analyze the relationship between the performances and the accounting informations of those firms. This paper derives two major implications. First, the stock performances of the reorganized firms of the two countries show very different time profiles. As time goes by after completion of reorganization, the reorganized firms of the US shows significant improvements in stock performances, whereas those of South Korea deteriorates, which means that the institution of reorganization of South Korea has serious problems in sustainablity. Second, in the long-run, any accounting variable cannot affect significantly the stock performances in both countries. Inspite that this paper is limited to the comparison of only two countries, still it can be concluded that the institution of reorganization of South Korea has serious problems in sustainability, and accounting improvements of the reorganized firms cannot provide full credibility in the stock market.