• Title/Summary/Keyword: Market similarity

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Systemetic Study on the Family Pectinidae (Bivalvia) in Korea. Allozyme Variability (한국산 가리비과(Pectinidae: Bivalvia) 패류의 계통분류학적 연구. 동이원소)

  • 김재진;박갑만
    • The Korean Journal of Malacology
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    • v.15 no.1
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    • pp.63-69
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    • 1999
  • Electrophoretic analysis was carried out to elucidate genetic relationships of four Korean scallops, Patinopecten yessoensis, chlamys ferreri ferreri, Chlamys swifti and Amusium japonicum japonicum, and of a Chinese population of C. ferreri ferreri purchased form a market. Glucose phosphate isomerase banding pattern was highly varied among eight loci. Three populations of C. ferreri ferreri were more closely clustered in a dendrogram within the range of Nei's genetic similarity values of 0.730-0.830. P. yessoenensis and Chlamys swifti were clustered with genetic similarity value of 0.647. These two clusters were lineated at the value of 0.598. A. japonicum japonicum was clustered with other three species at value of 0.541.

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A Study of Similarity Measure Algorithms for Recomendation System about the PET Food (반려동물 사료 추천시스템을 위한 유사성 측정 알고리즘에 대한 연구)

  • Kim, Sam-Taek
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.159-164
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    • 2019
  • Recent developments in ICT technology have increased interest in the care and health of pets such as dogs and cats. In this paper, cluster analysis was performed based on the component data of pet food to be used in various fields of the pet industry. For cluster analysis, the similarity was analyzed by analyzing the correlation between components of 300 dogs and cats in the market. In this paper, clustering techniques such as Hierarchical, K-Means, Partitioning around medoids (PAM), Density-based, Mean-Shift are clustered and analyzed. We also propose a personalized recommendation system for pets. The results of this paper can be used for personalized services such as feed recommendation system for pets.

Similarity-Based Patch Packing Method for Efficient Plenoptic Video Coding in TMIV

  • Kim, HyunHo;Kim, Yong-Hwan
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.06a
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    • pp.250-252
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    • 2022
  • As immersive video contents have started to emerge in the commercial market, research on it is required. For this, efficient coding methods for immersive video are being studied in the MPEG-I Visual workgroup, and they released Test Model for Immersive Video (TMIV). In current TMIV, the patches are packed into atlas in order of patch size. However, this simple patch packing method can reduce the coding efficiency in terms of 2D encoder. In this paper, we propose patch packing method which pack the patches into atlases by using the similarity of each patch for improving coding efficiency of 3DoF+ video. Experimental result shows that there is a 0.3% BD-rate savings on average over the anchor of TMIV.

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Application of data mining techniques for finding customer-oriented product market segments (고객지향 세분시장 획득을 위한 데이터 마이닝 기법 적용방안)

  • Kim, Jong-Ho
    • Journal of Digital Contents Society
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    • v.13 no.3
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    • pp.385-392
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    • 2012
  • The definition of the product market in a supplier's point of view can cause various problems in the market activities of companies because specific situations are excluded and the consideration for discontinuity is lacking by identifying segmented markets with processes, raw materials, the similarity of product functions and so forth. Furthermore, as this definition is static and general, it is difficult to express and predict the dynamic market changes. Meanwhile, customer-oriented market segment can be obtained by grouping substitutable products and related customers in the situation pursuing specific benefits. This definition of the product market enables us to find threats and opportunities emerging in markets and promotes effective performance assessments and resource allocation. The purpose of this paper is suggesting a framework to select data mining techniques proper for the customer data characteristics to identify customer oriented product market.

Optimization of Case-based Reasoning Systems using Genetic Algorithms: Application to Korean Stock Market (유전자 알고리즘을 이용한 사례기반추론 시스템의 최적화: 주식시장에의 응용)

  • Kim, Kyoung-Jae;Ahn, Hyun-Chul;Han, In-Goo
    • Asia pacific journal of information systems
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    • v.16 no.1
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    • pp.71-84
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    • 2006
  • Case-based reasoning (CBR) is a reasoning technique that reuses past cases to find a solution to the new problem. It often shows significant promise for improving effectiveness of complex and unstructured decision making. It has been applied to various problem-solving areas including manufacturing, finance and marketing for the reason. However, the design of appropriate case indexing and retrieval mechanisms to improve the performance of CBR is still a challenging issue. Most of the previous studies on CBR have focused on the similarity function or optimization of case features and their weights. According to some of the prior research, however, finding the optimal k parameter for the k-nearest neighbor (k-NN) is also crucial for improving the performance of the CBR system. In spite of the fact, there have been few attempts to optimize the number of neighbors, especially using artificial intelligence (AI) techniques. In this study, we introduce a genetic algorithm (GA) to optimize the number of neighbors to combine. This study applies the novel approach to Korean stock market. Experimental results show that the GA-optimized k-NN approach outperforms other AI techniques for stock market prediction.

A New Similarity Measure for Categorical Attribute-Based Clustering (범주형 속성 기반 군집화를 위한 새로운 유사 측도)

  • Kim, Min;Jeon, Joo-Hyuk;Woo, Kyung-Gu;Kim, Myoung-Ho
    • Journal of KIISE:Databases
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    • v.37 no.2
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    • pp.71-81
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    • 2010
  • The problem of finding clusters is widely used in numerous applications, such as pattern recognition, image analysis, market analysis. The important factors that decide cluster quality are the similarity measure and the number of attributes. Similarity measures should be defined with respect to the data types. Existing similarity measures are well applicable to numerical attribute values. However, those measures do not work well when the data is described by categorical attributes, that is, when no inherent similarity measure between values. In high dimensional spaces, conventional clustering algorithms tend to break down because of sparsity of data points. To overcome this difficulty, a subspace clustering approach has been proposed. It is based on the observation that different clusters may exist in different subspaces. In this paper, we propose a new similarity measure for clustering of high dimensional categorical data. The measure is defined based on the fact that a good clustering is one where each cluster should have certain information that can distinguish it with other clusters. We also try to capture on the attribute dependencies. This study is meaningful because there has been no method to use both of them. Experimental results on real datasets show clusters obtained by our proposed similarity measure are good enough with respect to clustering accuracy.

How Can Non.Chaebol Companies Thrive in the Chaebol Economy? (비재벌공사여하재재벌경제중생존((非财阀公司如何在财阀经济中生存)? ‐공사층면영소전략적분석(公司层面营销战略的分析)‐)

  • Kim, Nam-Kuk;Sengupta, Sanjit;Kim, Dong-Jae
    • Journal of Global Scholars of Marketing Science
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    • v.19 no.3
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    • pp.28-36
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    • 2009
  • While existing literature has focused extensively on the strengths and weaknesses of the Chaebol and their ownership and governance, there have been few studies of Korean non-Chaebol firms. However, Lee, Lee and Pennings (2001) did not specifically investigate the competitive strategies that non-Chaebol firms use to survive against the Chaebol in the domestic Korean market. The motivation of this paper is to document, through four exploratory case studies, the successful competitive strategies of non-Chaebol Korean companies against the Chaebol and then offer some propositions that may be useful to other entrepreneurial firms as well as public policy makers. Competition and cooperation as conceptualized by product similarity and cooperative inter.firm relationship respectively, are major dimensions of firm.level marketing strategy. From these two dimensions, we develop the following $2{\times}2$ matrix, with 4 types of competitive strategies for non-Chaebol companies against the Chaebol (Fig. 1.). The non-Chaebol firm in Cell 1 has a "me-too" product for the low-end market while conceding the high-end market to a Chaebol. In Cell 2, the non-Chaebol firm partners with a Chaebol company, either as a supplier or complementor. In Cell 3, the non-Chaebol firm engages in direct competition with a Chaebol. In Cell 4, the non-Chaebol firm targets an unserved part of the market with an innovative product or service. The four selected cases such as E.Rae Electronics Industry Company (Co-exister), Intops (Supplier), Pantech (Competitor) and Humax (Niche Player) are analyzed to provide each strategy with richer insights. Following propositions are generated based upon our conceptual framework: Proposition 1: Non-Chaebol firms that have a cooperative relationship with a Chaebol will perform better than firms that do not. Proposition 1a; Co-existers will perform better than Competitors. Proposition 1b: Partners (suppliers or complementors) will perform better than Niche players. Proposition 2: Firms that have no product similarity with a Chaebol will perform better than firms that have product similarity. Proposition 2a: Partners (suppliers or complementors) will perform better than Co.existers. Proposition 2b: Niche players will perform better than Competitors. Proposition 3: Niche players should perform better than Co-existers. Proposition 4: Performance can be rank.ordered in descending order as Partners, Niche Players, Co.existers, Competitors. A team of experts was constituted to categorize each of these 216 non-Chaebol companies into one of the 4 cells in our typology. Simple Analysis of Variance (ANOVA) in SPSS statistical software was used to test our propositions. Overall findings are that it is better to have a cooperative relationship with a Chaebol and to offer products or services differentiated from a Chaebol. It is clear that the only profitable strategy, on average, to compete against the Chaebol is to be a partner (supplier or complementor). Competing head on with a Chaebol company is a costly strategy not likely to pay off for a non-Chaebol firm. Strategies to avoid head on competition with the Chaebol by serving niche markets with differentiated products or by serving the low-end of the market ignored by the Chaebol are better survival strategies. This paper illustrates that there are ways in which small and medium Korean non-Chaebol firms can thrive in a Chaebol environment, though not without risks. Using different combinations of competition and cooperation firms may choose particular positions along the product similarity and cooperative relationship dimensions to develop their competitive strategies-co-exister, competitor, partner, niche player. Based on our exploratory case-study analysis, partner seems to be the best strategy for non-Chaebol firms while competitor appears to be the most risky one. Niche players and co-existers have intermediate performance, though the former do better than the latter. It is often the case with managers of small and medium size companies that they tend to view market leaders, typically the Chaebol, with rather simplistic assumptions of either competition or collaboration. Consequently, many non-Chaebol firms turn out to be either passive collaborators or overwhelmed competitors of the Chaebol. In fact, competition and collaboration are not mutually exclusive, and can be pursued at the same time. As suggested in this paper, non-Chaebol firms can actively choose to compete and collaborate, depending on their environment, internal resources and capabilities.

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The effect of similarity, time of release, and message type on the evaluation of extended brand in the era of consumption polarization (소비 양극화 시대에 확장 유사성, 출시 시기, 메시지 유형이 확장 브랜드 평가에 미치는 영향)

  • Kwak, Junsik
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.9
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    • pp.141-149
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    • 2017
  • Numerous products are on the market every day and consumption is becoming increasingly polarized. Some products have been introduced to the market for the first time and others are the existing products that have upgraded performance. For companies, new products must be released constantly to prevent losing existing customers and to increase loyalty. However, when companies released new product, they communicate consumer brand name and core benefits of the new product. Moreover, if a new product fails, the amount that the company has to pay is bound to grow. So companies often use brand extension strategies that use the names of famous brands that are already loved by their customers for new products. In this study, the effect of extension similarity, time of release, and message type on brand extension was investigated. Result shows that using abstract messages rather than specific messages is more effective when similarities with existing brands are poor. In particular, the closer the release period is, the more effective these effects are. However, in case of extending the brand with high similarity products, it is effective to focus on concrete messages when the release time is near, and to communicate abstract messages when the release time is long. This result suggests that companies should take into consideration not only the similarity of extension but also the timing and characteristics of messages when extending the brand.

A New Similarity Measure for e-Catalog Retrieval Based on Semantic Relationship (의미적 연결 관계에 기반한 전자 카탈로그 검색용 유사도 척도)

  • Seo, Kwang-Hun;Lee, Sang-Goo
    • Journal of KIISE:Databases
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    • v.34 no.6
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    • pp.554-563
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    • 2007
  • The e-Marketplace is growing rapidly and providing a more complex relationship between providers and consumers. In recent years, e-Marketplace integration or cooperation issues have become an important issue in e-Business. The e-Catalog is a key factor in e-Business, which means an e-Catalog System needs to contain more large data and requires a more efficient retrieval system. This paper focuses on designing an efficient retrieval system for very large e-Catalogs of large e-Marketplaces. For this reason, a new similarity measure for e-Catalog retrieval based on semantic relationships was proposed. Our achievement is this: first, a new e-Catalog data model based on semantic relationships was designed. Second, the model was extended by considering lexical features (Especially, focus on Korean). Third, the factors affecting similarity with the model was defined. Fourth, from the factors, we finally defined a new similarity measure, realized the system and verified it through experimentation.

Pharmacognostical Studies on 'Shiho' -On the Botanical Origin of 'Jook Shiho'- (시호(柴胡)의 생약학적(生藥學的) 연구(硏究) -죽시호(竹柴胡)의 기원(起源)에 대하여-)

  • Han, Dae-Suk
    • Korean Journal of Pharmacognosy
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    • v.5 no.4
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    • pp.205-210
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    • 1974
  • Four kinds of Bupleuri Radix, namely 'Dang shiho', 'Won shiho', 'Shik shiho' and 'Jook shiho', are currently used in the market of Korea. It is thought that 'Dang shiho' is the root of Bupleurum falcatum and B. scorzoneraefolium. It was also reported that 'Won shiho' and 'Shik shiho' are the root of B. falcatum. Since 'Jook shiho' which is widely used in the market and even exported, has not been clarified as to the origin of the plant and the chemical components, the author obtained some results by this study, the summaries of which are as following: 1. The results of microscopical examination of 'Jook shiho' and 'Kae shiho' were entirely identical and the TLC patterns were coincided as well. It was therefore definitely clarified that the origin of 'Jook shiho' is Bupleurum longe-radiatum. 2. The TLC patterns of 'Won shiho', 'Jook shiho' and 'Kae shiho' which are belonging to the same family and the same genus, appeared identical, and reveal the similarity of the chemical constituents and thereby strongly support the fact that 'Jook shiho' can be used for the same purpose as 'Won shiho'.

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