• 제목/요약/키워드: AnswerTree

검색결과 38건 처리시간 0.028초

Developing a Dynamic Materialized View Index for Efficiently Discovering Usable Views for Progressive Queries

  • Zhu, Chao;Zhu, Qiang;Zuzarte, Calisto;Ma, Wenbin
    • Journal of Information Processing Systems
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    • 제9권4호
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    • pp.511-537
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    • 2013
  • Numerous data intensive applications demand the efficient processing of a new type of query, which is called a progressive query (PQ). A PQ consists of a set of unpredictable but inter-related step-queries (SQ) that are specified by its user in a sequence of steps. A conventional DBMS was not designed to efficiently process such PQs. In our earlier work, we introduced a materialized view based approach for efficiently processing PQs, where the focus was on selecting promising views for materialization. The problem of how to efficiently find usable views from the materialized set in order to answer the SQs for a PQ remains open. In this paper, we present a new index technique, called the Dynamic Materialized View Index (DMVI), to rapidly discover usable views for answering a given SQ. The structure of the proposed index is a special ordered tree where the SQ domain tables are used as search keys and some bitmaps are kept at the leaf nodes for refined filtering. A two-level priority rule is adopted to order domain tables in the tree, which facilitates the efficient maintenance of the tree by taking into account the dynamic characteristics of various types of materialized views for PQs. The bitmap encoding methods and the strategies/algorithms to construct, search, and maintain the DMVI are suggested. The extensive experimental results demonstrate that our index technique is quite promising in improving the performance of the materialized view based query processing approach for PQs.

이기종 분산환경에서 데이터마이닝을 위한 데이터준비 시스템 구현 (Implementation of Data Preparation System for Data Mining on Heterogenious Distributed Environment)

  • 이상희;이원섭
    • 한국컴퓨터정보학회논문지
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    • 제9권3호
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    • pp.109-113
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    • 2004
  • 본 논문에서는 데이터 마이닝을 위한 데이터 준비 과정에 대하여 기존의 데이터 마이닝 도구들의 효율성을 비교하고, 새로운 효율적인 데이터 준비 시스템 설계 기준을 제안하고자 한다. 지역 및 원격 데이터베이스 접근방법 이기종 컴퓨터간의 정보 교환을 기준으로 기존의 데이터마이닝 도구들의 기능을 비교하였다. 본 논문에서는 앤서트리, 클레멘타인, 엔터프라이즈 마이너, 웨카를 비교하였다. 또한, 본 논문에서는 분산 네트워크 상에서 데이터 마이닝을 위한 효율적인 데이터 준비 시스템을 위한 설계기준을 제안한다.

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장기적 금연 지속기간 예측 모형: 스트레스 대처를 중심으로 (Decision-Tree Model of Long-term Abstention from Smoking: Focused on Coping Styles)

  • 서경현;유제민
    • 보건교육건강증진학회지
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    • 제22권4호
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    • pp.73-90
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    • 2005
  • Objectives: Smokers who had failed to quit smoking were frequently reported that life stress mostly interrupted their abstention. Stress vulnerability model for smoking cessation has been considered, and most of contemporary smoking cessation programs help smokers develop coping strategies for stressful situations. This study aims to investigate the appropriate coping styles for stress of abstention from smoking. The result of investigating the relationship between abstention following smoking cessation program and coping styles would suggest useful information for those who want to stop smoking and health practitioners who help them. Methods: Participants were 69 smokers (62 males, 7 females) participated in a hospitalized smoking cessation program, whose mean age was 44.89 (SD=9.61). Participants took medical test and completed questionnaires and psychological tests including: Fagerstrom Test for Nicotine Dependence and Multidimensional Coping Scale. To identify participants' abstention, researchers followed them for 2 years. To identify whether abstained or not and encourage them to abstain, researchers called them on the telephone once a week for 3 months. After 3 months, they were contacted every other week till 6 months passed since they left smoking cessation program. And they were contacted once a month for other 18months. Researchers also contacted their family to identify their abstention. Data Mining Decision Tree was performed with 37 variables (13 variables for the coping styles and 24 smoking-related variables) by Answer Tree 3.0v Results: Forty four (63.8%) out of sixty nine for 2 weeks, 34 (49.3%) for 6 months, 25 (36.2%) abstained for 1 year, and 22 (31.9%) abstained for 2 years. Participants of this study abstained average of 286.77 days from smoking. Included variables of a Decision Tree model for this study were positive interpretation, emotional expression, self-criticism, restraint and emotional social support seeking. Decision Tree model showed that those (n=9) who did not interpret positively (<=7.5) and criticized themselves (>6.5) abstained 23 days only, while those (n=9) who interpreted positively (>7.5), expressed their emotion freely (>6.5), and sought social support actively (>11.5) abstained 730 days, till last day of the investigation. Conclusion: The results of this study showed that certain coping styles such as positive interpretation, emotional expression, self-criticism, restraint and emotional social support seeking were important factors for long-term abstention from smoking. These findings reiterate the role of stress for abstention from smoking and suggest a model of coping styles for successful abstention from smoking. Despite of limitation of this study, it might help smokers who want to stop smoking and health practitioners who help them.

부석사 무량수전 배흘림 목재 기둥의 좌굴강도 (Buckling Strength of Wooden Column with Entasis at the Muryangsugeon in Buseoksa-Temple)

  • 윤순종;김희수;유형주;한민혁;김진경;지해인
    • 복합신소재구조학회 논문집
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    • 제6권1호
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    • pp.6-13
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    • 2015
  • In this paper we present the result of investigations pertaining to the buckling strength of Zelkova Serrata (Elm-like) tree column with entasis at the Muryangsujeon in Buseoksa-Temple, Korea. Wooden columns with entasis had been used in the construction of ancient architectural buildings in Korea. It was not known why did they design columns with entasis of the buildings. It is just presumed that the reason may be the compensation of optical illusion, aesthetics, and/or structural safety. The question is not answered even today and it may not be possible to answer clearly and easily. In the paper, the buckling analyses are conducted on both of the wooden column with entasis and the prismatic wooden column by the successive approximations technique and the finite element methods, respectively. The results of analyses are compared and discussed.

효율적인 데이터베이스 마케팅을 위한 데이터마이닝 전처리도구에 관한 연구 (A Study on the Data Mining Preprocessing Tool For Efficient Database Marketing)

  • 이준석
    • 디지털융복합연구
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    • 제12권11호
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    • pp.257-264
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    • 2014
  • 효율적인 데이터베이스 마케팅을 위하여 고객들을 세분화하고, 새로운 지식을 탐색할 수 있는 데이터마이닝의 필요성이 증대되고 있다. 데이터마이닝 도구를 구축하기 위해서는 단계별 구현이 요구되어 지는데, 본 연구에서는 데이터마이닝을 위한 분산 환경에 적응 가능한 데이터 전처리 도구를 구성하였다. 기존의 데이터마이닝 도구인 앤서 트리, 클레멘타인, 엔터프라이즈 마이너, 캔싱턴, 웨카의 전처리 부분을 고찰하고, 분산 환경에서 효율적으로 사용할 수 있는 데이터 마이닝 전처리 도구를 구성하였다. 새로이 제안된 시스템은 엔터프라이즈 자바 빈즈와 XML을 기반으로 하였다.

Feature Analysis on Industrial Accidents of Manufacturing Businesses Using QUEST Algorithm

  • Leem, Young-Moon;Rogers, K.J.;Hwang, Young-Seob
    • International Journal of Safety
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    • 제5권1호
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    • pp.37-41
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    • 2006
  • The major objective of the statistical analysis about industrial accidents is to determine the safety factors so that it is possible to prevent or decrease the number of future accidents by educating those who work in a given industrial field in safety management. So far, however, there exists no quantitative method for evaluating danger related to industrial accidents. Therefore, as a method for developing quantitative evaluation technique, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze features of industrial accidents, a retrospective analysis was performed on 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work was chosen from data related to manufacturing businesses during a three-year period ($2002{\sim}2004$) in Korea. This study used AnswerTree of SPSS and the analysis results enabled us to determine the most important variables that can affect injured people such as the occurrence type, the company size, and the time of occurrence. Also, it was found that the classification system adopted in the present study using QUEST algorithm is quite reliable.

Ensemble Deep Learning Model using Random Forest for Patient Shock Detection

  • Minsu Jeong;Namhwa Lee;Byuk Sung Ko;Inwhee Joe
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권4호
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    • pp.1080-1099
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    • 2023
  • Digital healthcare combined with telemedicine services in the form of convergence with digital technology and AI is developing rapidly. Digital healthcare research is being conducted on many conditions including shock. However, the causes of shock are diverse, and the treatment is very complicated, requiring a high level of medical knowledge. In this paper, we propose a shock detection method based on the correlation between shock and data extracted from hemodynamic monitoring equipment. From the various parameters expressed by this equipment, four parameters closely related to patient shock were used as the input data for a machine learning model in order to detect the shock. Using the four parameters as input data, that is, feature values, a random forest-based ensemble machine learning model was constructed. The value of the mean arterial pressure was used as the correct answer value, the so called label value, to detect the patient's shock state. The performance was then compared with the decision tree and logistic regression model using a confusion matrix. The average accuracy of the random forest model was 92.80%, which shows superior performance compared to other models. We look forward to our work playing a role in helping medical staff by making recommendations for the diagnosis and treatment of complex and difficult cases of shock.

지역주민의 아동공원 이용성 및 관리에 대한 의식분석 (Analysis of Use Disposition and Consciousness about Children′s Playground management by Residents)

  • 이기철;김동필
    • 한국조경학회지
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    • 제17권2호
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    • pp.15-25
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    • 1989
  • The purpose of this study was to supply data of resident′s participation direction about children′s playground management. In this study, use disposition and consciousness of resident about management are investigated and analyzed at the 5 children′s playground in Taegu city. The results of this study were as follows: The result of resident′s use disposition showed ; visiting frequency was "everyday or occasionally(53.5% )", and visiting purpose was "for children(47.9 %), for rest, sports, spare time(24.6%)" and visiting time was equal1y except forenoon, and staying time was "within 1 hour(73.1%)". The satisfaction about park facilities and park existence of residents′ is composed importance degree of which is convenient, manyfunction spaces, managemental of tree and facilities in order. 9.3% of residents were proposal experience about management, and concern ratio of circumferenmce showed highly "concerned answer(45.9%)" About consciousness ratio of management subject, 46.5% of residents depended on authorities leading. Wholly, recognition ratio showed low. Park administration of authorities leading and lack of resident′s concern wore thought as its problem. About experience of cleaning beautification rout children′s playground, 14.2% of residents answered "be experience". Participation type of desirous management showed highest "cleaning of fallen leaves and rubbish(22.7% )". So, residents wished to take part in such simple managements. Charge of necessary tool and cost for management showed highest "partial charge of residents (47.9% )". About participant ratio of self government activity made by residents, 75.1% of residents answered "don′t be participated". A reason of nonparticipation showed "insufficiency of place and opportunity (38.7%), deficiency of time(17.97)". Activity of initiative and existing group can be done as a fine device in future. Desirous events for children and residents showed highest "play guidence for children or meeting for aged milan(40.7% )". Therefore, it will have to consider enough about resident′s participation program for activity of use and efficient management of children′s playground.

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충격기류식 여과집진장치에서 압력손실에 영향을 주는 인자의 효율예측 (Prediction of the Efficiency of Factors Affecting Pressure Drop in a Pulse Air Jet-type Bag Filter)

  • 서정민;류재용;임우택;정문섭;박정호;신춘환
    • 한국환경과학회지
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    • 제19권4호
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    • pp.437-446
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    • 2010
  • The pressure drop through pulse air jet-type bag filter is one of the most important factors on the operating cost of bagfilter houses. In this study, the pilot-scale pulse air jet-type bag filter with about 6 m2 filtration area was designed and tested for investigating the effects of the four operating conditions on the total pressure drop, using the coke dust collected from a steel mill factory. When the face velocity is higher than 2 m/min, it is not applicable to on-spot due to the increase of power expenses resulting from a high-pressure drop, and thus, 1.5 m/min is considered to be reasonable. The regression analysis results show that the degree of effects of independent parameters is a order of face velocity > concentration > time > pressure. The results of SPSS answer tree analysis also reveal that the operation time affects the pressure drop greatly in case of 1 m/min of face velocity, while the inlet concentration affects the pressure drop in case of face velocity more than 1.5 m/min.

Parasitic Behaviour of Xanthopimpla pedator Fabricius (Hymenoptera: Ichneumonidae) on Tropical Tasar Silkworm, Antheraea mylitta Drury (Lepidoptera: Saturniidae) Reared on Seven Forestry Host Plants in Uttarakhand, India

  • Bhatia, Narendra Kumar;Yousuf, Mohammad
    • International Journal of Industrial Entomology and Biomaterials
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    • 제27권2호
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    • pp.243-264
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    • 2013
  • Antheraea mylitta Drury is a commercial silk producing forest insect in India and Xanthopimpla pedator Fabricius is its larval-pupal endoparasitoid, which causes pupal mortality that affects seed production. Effects of host plants, rearing season and their interactions on parasitic behaviour of X. pedator were studied here, as influence of these factors on biological success of X. pedator is not known. Seven forest tree species were tested as food plants for A. mylitta, and rate of pupal parasitization in both the rearing seasons were recorded and analysed. Results showed that rearing season and host plants significantly affected the rate of pupal parasitization in both the sexes. Pupal mortality was found significantly higher (14.52%) in second rearing season than the first (2.89%). Likewise, host plants and rearing seasons significantly affected length, diameter, and shell thickness of cocoons in both sexes. Out of all infested pupae, 85.59% were found male, which indicated that X. pedator chooses male spinning larva of A. mylitta for oviposition, but we could not answer satisfactorily the why and how aspect of this sex specific parasitic behaviour of X. pedator. Multiple regression analysis indicated that length and shell thickness of male cocoons are potential predictors for pupal parasitization rate of X. pedator. Based on highest cocoon productivity and lowest pupal mortality, Terminalia alata, T. tomentosa, and T. arjuna were found to be the most suitable host plants for forest based commercial rearing of A. mylitta in tropical forest areas of Uttarakhand state, where it has never been reared earlier. Sex and season specific interaction of X. pedator with its larval-pupal host, A. mylitta is a novel entomological study to find out explanations for some of the unresolved research questions on parasitic behaviour of X. predator that opens a new area for specialised study on male specific parasitization in Ichneumonidae.