• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (1)
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• pp.973-975
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• 2005

With the continuous growth of e-commerce there is a huge amount of products information available online. Shop managers expect to apply information techniques to increase profit and perfect service. Hence many e-commerce systems use association rule mining to further refine their management. However previous association rule algorithms have two limitations. Firstly, they only use the number to weight item's essentiality and ignore essentiality of item profit. Secondly, they did not consider the relationship between number and profit of item when they do mining. We address a novel algorithm, profit-based association rule algorithm that uses profit-based technique to generate 1-itemsets and the multiple minimum supports mining technique to generate N-items large itemsets.

• Bulletin of the Korean Chemical Society
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• 제34권9호
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• pp.2747-2752
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• 2013

Surface modification of colloidal silica nanoparticles without disrupting the electric double layer of nanoparticles is a major challenge. In the work, silane was employed to modify colloidal silica nanoparticles without inducing bridge flocculation obviously. The effect of pH value of the silica sol, the amount of silane in feed, and reaction temperature on the graft amount and the final size of modified particles was investigated. The increased weight loss by TG and the appearance of $T_2$ and $T_3$ except for $Q_2$ and $Q_3$ signals by CP/MAS $^{29}Si$ NMR of the modified samples verified the successful grafting of silane. The graft amount reached 0.57 mmol/g, which was slightly lower than theory value, and the particle size remained nearly the same as unmodified particles for acidic silica sol at the optimum condition. For alkaline silica sol after modification, aggregates composed of several nanoparticles connected together with silane moleculars as the bridge appeared.

• 한국수산과학회지
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• 제53권5호
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• pp.740-751
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• 2020

In the aquaculture industry, few studies are analyzing big data for intrinsic meaning. Fishcare Laboratory (www.fishcare.kr) diagnostic data from 2016-2018 was analyzed for scuticociliatosis (caused by Miamiensis avidus) outbreak patterns in cultured olive flounder Paralichthys olivaceus in Jeju, Korea. The scuticociliatosis monthly occurrence ratio is reported in the summary table after preparing and filtering the basic dataset model. Nonparametric test results suggest differences in the water temperature, body length, and weight between groups with and without scuticociliatosis. Data distribution visualization revealed that shorter body length and lighter weight increased the occurrence of scuticociliatosis. The association rule mining technique was applied to determine the primary clinical signs of mixed scuticociliatosis and bacterial infections. Venn diagrams were used to report clinical signs and suggest commonalities. These results may help diagnose and treat fish and provide a decision-making reference.

• 자원환경지질
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• 제30권4호
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• pp.371-377
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• 1997

This paper presents the geophysical applications to the environmenml problem in an abandoned mine area. We would like to focus our attention on the mapping of the soil contamination and the detection of the buried mine tailings. For mapping the soil contamination. measurements of both in-situ magnetic susceptibility (k) and terrain conductivity were carried out. In-situ magnetic susceptibilities of the contaminated soil due to the acid mine drainage show higher values than those of the uncontaminated area. However. those data do not show the correlation with the degree of the soil contamination observed on the surface. The least-squares fitted formula obtained with the measured insitu magnetic susceptibilities is $k=4.8207{\times}W^{0.6332}$, where W is the $Fe^{+2}$ weight percentage. This weight gives most effect to magnetic susceptibility of the soil. Lateral variations of the soil contamination in the shallow subsurface can be detected by the electrical conductivity distributions from EM induction survey. TDIP (Time Domain Induced Polarization) and EM induction surveys were conducted to detect the buried mine tailings. From the results of TDIP, the spatial zone, which shows high chargeability-low resistivity, is interpreted as the buried mine tailings. Therefore, it is concluded that it is possible to discriminate the spatial zone from the uncontaminated ground.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.103-111
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• 2021

Obesity affects individuals of all gender and ages worldwide; consequently, several studies have performed great works to define factors causing it. This study develops an effective method to trace obesity levels based on supervised data mining techniques such as Random Forest and Multi-Layer Perception (MLP), so as to tackle this universal epidemic. Notably, the dataset was from countries like Mexico, Peru, and Colombia in the 14- 61year age group, with varying eating habits and physical conditions. The data includes 2111 instances and 17 attributes labelled using NObesity, which facilitates categorization of data using Overweight Levels l I and II, Insufficient Weight, Normal Weight, as well as Obesity Type I to III. This study found that the highest accuracy was achieved by Random Forest algorithm in comparison to the MLP algorithm, with an overall classification rate of 96.7%.

• 정보처리학회논문지D
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• 제17D권4호
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• pp.311-316
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• 2010

본 논문은 가중치를 고려한 연관규칙탐사 알고리즘(WARM)을 제시한다. 각 전략적 요소항목에 가중치를 부여하는 것과, 각 전략요소 항목별로 원시 자료값을 정규화하는 것이 이 논문에서 제시하는 알고리즘의 중요한 내용을 구성하고 있다. 본 논문은 TSAA 알고리즘을 확장 발전 시킨 연구로서 전략적 중요도를 반영하는 항목으로는 각 품목의 이익기여도, 마케팅 가치, 고객만족도 등을 사용하였다. 한 대형할인점의 실제 거래자료를 사용하여 알고리즘의 성능을 검사하였으며, Apriori, TSAA 및 WARM의 세 가지 알고리즘을 사용한 탐사결과를 비교 분석하였다. 분석의 결과 세 가지 알고리즘은 연관분석 행태에 있어서 각각 독특한 탐사행태를 보이는 것으로 나타났다.

• 한국환경과학회지
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• 제12권2호
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• pp.227-236
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• 2003

Electrokinetic remediation technique offers the opportunity to extract heavy metals from soils with high plasticity. The experiment demonstrated the applicability of electrokinetic remediation on metal-mining deposit and the decision of the enhancement method for four kinds of bench-scale studies. According to the sequential extraction of heavy metals in the "I" mining deposit, Pb and Cu were mostly associated with residual fraction and Zn and Cd were associated with water soluble and residual fraction. Therefore, removable fractions by electrokinetic technology was determined by the sum of the fraction of water soluble and exchangeable, which is Cu : 19.53%, Pb : 1.42%, Cd : 52.82%, Zn : 57.28%, respectively. When considering electrical potential, volume of effluent, soil pH, and eliminated rate of contaminant, results determined by sum of each weight were Citric aic+SDS (13) > 0.1N $HNO_3$ (10) > HAc (8) > DDW (4). Therefore, citric acid and SDS mixed solution was determined the best enhancing agent for the remediation of metal mining deposit.g deposit.

• 한국멀티미디어학회논문지
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• 제6권4호
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• pp.707-713
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• 2003

Convenience and promptness of the internet have been not only making the electronic commerce grow rapidly in case of website, analyzing a navigation pattern of the users has been also making personalization and customization techniques develop rapidly for providing service accordant to individual interestingness. Web personalization and customization skill has been utilizing various methods, such as web log mining to use web log data and web mining to use the transaction of users etc, especially e-CRM analyzing a navigation pattern of the users. In this paper, We measure exact duration time of the users in web page and web site, compute weight about duration time each page, and propose a way to comprehend e-loyalty through the computed weight.

• 대한수학회지
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• 제58권1호
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• pp.219-236
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• 2021

Let �� be a weighted projective line defined over the algebraic closure $k={\bar{\mathbb{F}}}_q$ of the finite field ��q and σ be a weight permutation of ��. By folding the category coh-�� of coherent sheaves on �� in terms of the Frobenius twist functor induced by σ, we obtain an ��q-category, denoted by coh-(��, σ; q). We then prove that coh-(��, σ; q) is derived equivalent to the valued canonical algebra associated with (��, σ).

• 인터넷정보학회논문지
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• 제10권5호
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• pp.79-93
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• 2009

사용자들의 특성에 맞게 개인화되고 세분화된 위치 기반 서비스를 개발하기 위한 목적으로 시공간 상에서 발생하는 이동 객체의 다양한 패턴들 중 의미있는 유용한 패턴을 추출하기 위한 시공간 패턴 탐사가 필요하다. 이에 본 논문에서는 방대한 이동 객체의 이력 데이터로부터 패턴 탐사를 통해 실세계에 적용 가능한 위치 기반 서비스의 개발에 대한 응용으로, STOMP(F)[25]에서 정의한 최적의 이동 패턴을 탐사하는 문제들을 기반으로 시간 및 공간 제약을 갖는 패턴을 추출하기 위한 새로운 탐사 기법인 STOMP(FW)를 제안한다. 제안된 기법은 패턴 빈발도 만을 이용한 기존 연구(STOMP(F)[25])에 가중치(거리, 시간, 비용 등)를 복합적으로 이용하는 패턴 탐사 방법으로, 특정한 지점들 사이를 이동한 객체의 이동 패턴들 중 패턴 빈발도가 특정 임계치 이상이고 가중치가 가장 적게 소요되는 이동 패턴을 최적 경로로 결정하는 방법이다. 제안된 방법의 패턴 탐사는 경험적인 이동 이력을 사용함으로써 기존의 최적 경로 탐색 기법들($A^*$, Dijkstra 알고리즘)이나 빈발도 만을 이용한 방법들 보다 접근하는 노드 수가 상대적으로 적어 보다 빠르고 정확하게 최적 패턴을 탐색할 수 있음을 보인다.