• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.210-214
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• 2002

Association rule mining is an exploratory learning task to discover some hidden dependency relationships among items in transaction data. Quantitative association rules denote association rules with both categorical and quantitative attributes. There have been several works on quantitative association rule mining such as the application of fuzzy techniques to quantitative association rule mining, the generalized association rule mining for quantitative association rules, and importance weight incorporation into association rule mining fer taking into account the users interest. This paper introduces a new method for generalized fuzzy quantitative association rule mining with importance weights. The method uses fuzzy concept hierarchies fer categorical attributes and generalization hierarchies of fuzzy linguistic terms fur quantitative attributes. It enables the users to flexibly perform the association rule mining by controlling the generalization levels for attributes and the importance weights f3r attributes.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 춘계학술대회 학술발표 논문집
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• pp.8-11
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• 2001

연관규칙 마이닝은 트랜잭션 데이터를 이루고 있는 항목간의 잠재적인 의존관계를 발견하는 데이터 마이닝의 한 분야이다. 정량 연관규칙이란 부류적 속성과 정량적 속성을 모두 포함한 연관규칙이다. 정량 연관규칙 마아닝을 위한 퍼지 기술의 응용, 정량 연관규칙 마이닝을 위한 일반화된 연관규칙 마이닝, 사용자의 관심도를 반영한 중요도 가중치가 있는 연관규칙 마이닝 등에 대한 연구가 이루어져 왔다. 이 논문에서는 중요도 가중치가 있는 일반화된 퍼지 정량 연관규칙 마이닝의 새로운 방법을 제안한다. 이 방법은 부류적 속성의 퍼지 개념 계층과 정량적 속성의 퍼지 언어항 일반화 계층을 일반화된 추출하기 위해 이용한다. 이것은 속성들의 수준별 일반화 계층과 속성의 중요도 가중치를 이용함으로써 사용자가 보다 융통성 있는 연관규칙을 마이닝할 수 있게 해준다.

• 지능정보연구
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• 제9권2호
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• pp.19-38
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• 2003

In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.99-104
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• 2003

In this research, we proposed the mechanism to develop self evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most former researchers tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, thy have some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, many of researchers had tried to develop an automatic knowledge extraction and refining mechanisms. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, in this study, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference. Our proposed mechanism has five advantages empirically. First, it could extract and reduce the specific domain knowledge from incomplete database by using data mining algorithm. Second, our proposed mechanism could manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it could construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems). Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic. Fifth, RDB-driven forward and backward inference is faster than the traditional text-oriented inference.

• 한국정보통신학회논문지
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• 제7권3호
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• pp.544-551
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• 2003

인터넷이 일반화되면서, 컴퓨터 시스템을 침입으로부터 효과적이면서 종합적으로 보호하기 위해 침입탐지 시스템이 필요하게 되었다. 본 연구에서는 이상행위 탐지를 기반으로 한 침입 탐지 시스템을 위한, 정상행위 프로파일링 기준을 제시한다. 프로파일링 과정에서 내재하고 있는 과탐지의 원인을 제시하고 이를 제어할 수 있는 침입 탐지 방안을 제안한다. 마지막으로, 사용자의 행위 패턴에 대해 정상행위 패턴 데이터베이스로부터 이상행위 여부를 판단할 수 있는 유사도 함수를 제안한다.

• 정보처리학회논문지B
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• 제12B권4호
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• pp.479-486
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• 2005

온톨로지는 차세대 시맨틱 웹을 위한 논리의 기반을 구성하기 위해 제안되었다. 이러한 온톨로지는 특정 분야에 대한 지식을 정형화된 형태로 표현함으로써 기계에 의한 지식의 이해를 가능하게 하고, 이를 사용하여 사용자의 요구에 알맞은 지능화된 서비스를 제공할 수 있게 한다. 하지만, 온톨로지의 구축과 유지는 많은 사람의 시간과 노력을 요구한다. 본 고에서는 온톨로지 구축 방법의 일환으로, 문서로부터 온톨로지를 구성하는 개념간의 관계를 정의하는 자동화된 방법을 제안한다. 본 고에서 제안된 방법은 특정 분야의 문서에 존재하는 개념을 기반으로 개념간의 연관 규칙을 형성하는 개념 쌍을 찾고, 두 개념 사이에 존재하는 내용의 군집화를 통해 두 개념간의 관계를 설명하는 패턴을 찾는다. 마지막으로 패턴간의 군집화를 사용하여 개념 사이의 일반화된 관계를 명시한다. 본 고에서는 제안된 방법을 검증하기 위한 방법으로 TREC(Text REtrieval Conference)에서 제공하는 문서집합을 사용하여 개념간의 관계를 추출, 평가하였으며, 그 결과 제안된 방법은 개념간의 관계를 설명하는 유용한 정보를 제공할 수 있음을 보여준다.

• 정보보호학회논문지
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• 제13권4호
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• pp.151-159
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• 2003

인터넷이 일반화되면서, 컴퓨터 시스템을 침입으로부터 효과적이면서 종합적으로 보호하기 위해 침입 탐지 시스템이 필요하게 되었다. 본 연구에서는 이상행위 탐지 기법을 이용한 침입 탐지 시스템을 구축할 때, 수행하는 정상행위 프로파일링 과정에서 발생하는 자기설명모순이 존재함을 제시하고 이를 제어할 수 있는 침입 탐지 방안을 제안하였다. 또한, 연관규칙을 적용한 프로파일링 과정의 결과는, 많은 정상행위 패턴이 생성될 수 있기 때문에, 이를 위해 군집화를 통한 효과적인 적용방안을 제시한다. 마지막으로, 사용자의 행위 패턴에 대해 군집화된 정상행위 패턴 데이터베이스로부터 이상행위 여부를 판단할 수 있는 유사도 함수를 제안하였다.

• Journal of Chest Surgery
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• 제10권1호
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• pp.98-105
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• 1977

A 36 year old blindman, engineer was admitted with chief complaints of hemoptysis, recurrent sore throat, pyoderma in genital organ, uveitis and thrombophlebitis for 10 years. Above the chief complaints were remission or exacerbation during hospitalization. Physicalexamination showed that left radial, ulnar & brachial pulse was not palpable. No bruit or murmur was obtained over the mass. Neurologic examination revealed no significant finding.On admission, chest P-A showed hen egg sized round & oval compact hazy density on left upper lung field. Bronchogram revealed no pathological finding and Lt. tomogram showed well define large,ovoid mass density in the superior mediastinum. Fluoroscopy finding showed nonpulsatile on left upper lung field. Pre-op. aortography was not taken, under the impression of lung Ca. rule out .sortie aneurysm, exploratory operation was performed through the 2nd intercostal space, Lt. It was performed that the mass was ascending sortie aneurysm of saccular type. Direct aneurysmectomy with multiple figure of eight suture were done without any prosthetic graft. Post-op. control I.V.C graphy showed completely obstruction sign. Postopcontrol aortography revealed good surgical result. Final, histopathological answered non-specific sortie aneurysm, saccular type. Post-op. courses were uneventful except mild neurologic disturbance with subclavian steal syndrome and associated with both lower leg pitting edema due to inferior vena cava obstruction. After op, 3 month later, discharged to home, with big systemic problem. Behcet`s syndrome reviewed with related literatures. The coexistence of mouth and genital ulceration with hypopyon mentioned by hippocrates and described by various workers in the early part of this century was first defined as a syndrome by Behcet in 1937. In 1937 Behcet described a chronic relapsing triple symptom complex of oral ulceration, genital ulceration, and ocular inflammation. The place of the syndrome as part of a systemic disorder in now clearer, and the under lying pathology appears to be a vasculitis. The disease runs a- chronic course, blindness being the greatest disability and control nervous system involvement a cause of death. Thrombophlebitis is fairly frequent, france et al [1951] giving an incidence of 25% and Dowling [1961] 12%, superficial thrombophlebitis migrans and thrombosis of large veins, including venae cavae [Thomas, 1947: Boolukos 1960] are recorded. Little attention has been paid to arterial involvement. Mishima et al. [1961] described resection cf an aortic aneurysm in a 38 year old man with Behcet`s syndorme. Mounsey in a clinicopathological conference described a case [Brit, med. J., 1966] of ruptured aortic aneurysm in Bechcet`s syndrome treated by aorto-iliac graft. Also, Shikano and Oshima et al [1963] recorded two aneyrysm of smaller arteries. Unfrequently, aortic aneurysm was presumed to be secondary to osteomyelitis of the lumber spine, though the possible association between aortic aneurysm and Behcet`s syndrome was raised. A further case is reported here, in which ascending aortic aneurysm with Behcet`s Ds. appeared to form part of this generalized disease. This is a case report of surgical experience of Behcet`s Ds. with ascending aortic aneurysm which had nearly all the typical clinical features. Above mentioned and was reviewed with related literatures.