In the growing data saturated world, the question of “whether data can be used” has shifted to “can it be utilized effectively?” More data is being generated and utilized than ever before. As the collection of data increases, data mining techn...
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https://www.riss.kr/link?id=A106171076
2016
English
one R ; J48 ; Hospital Inpatient ; Discharges ; County Residence ; SPARCS
KCI등재후보
학술저널
38-42(5쪽)
0
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
In the growing data saturated world, the question of “whether data can be used” has shifted to “can it be utilized effectively?” More data is being generated and utilized than ever before. As the collection of data increases, data mining techn...
In the growing data saturated world, the question of “whether data can be used” has shifted to “can it be utilized effectively?” More data is being generated and utilized than ever before. As the collection of data increases, data mining techniques also must become more and more accurate. Thus, to ensure this data is effectively utilized, the analysis of the data must be efficient. Interpretation of results from the analysis of the data set presented, have their own on the basis it is possible to obtain the desired data. In the data mining method a decision tree, clustering, there is such a relationship has not yet been fully developed algorithm actually still impact of various factors. In this experiment, the classification method of data mining techniques is used with easy decision tree. Also, it is used special technology of one R and J48 classification technique in the decision tree. After selecting a rule that a small error in the "one rule" in one R classification, to create one of the rules of the prediction data, it is simple and accurate classification algorithm. To create a rule for the prediction, we make up a frequency table of each prediction of the goal. This is then displayed by creating rules with one R, state-of-the-art, classification algorithm while creating a simple rule to be interpreted by the researcher. While the following can be correctly classified the pattern specified in the classification J48, using the concept of a simple decision tree information theory for configuring information theory. To compare the one R algorithm, it can be analyzed error rate and accuracy. One R and J48 are generally frequently used two classifications…
참고문헌 (Reference)
1 SATHYA, R., "Vision Based Traffic Personnel Hand Gesture Recognition Using Tree Based Classifiers" Springer India 2 : 187-200, 2015
2 KHARADE, Kalpana, "Promoting ICT enhanced constructivist teaching practices among pre-service teachers: A case study" 2 : 1-7, 2012
3 WAGH, Sharmila, "Effective Framework of J48 Algorithm using Semi-Supervised Approach for Intrusion Detection" 94 (94): 2014
4 SAXENA, Ritika, "Educational Data Mining: Performance Evaluation of Decision Tree and Clustering Techniques Using WEKA Platform" IJCSBI. ORG 15 (15): 2015
5 DOGRA, Ashish Kumar, "A Comparative Study of Selected Classification Algorithms of Data Mining" 2015
1 SATHYA, R., "Vision Based Traffic Personnel Hand Gesture Recognition Using Tree Based Classifiers" Springer India 2 : 187-200, 2015
2 KHARADE, Kalpana, "Promoting ICT enhanced constructivist teaching practices among pre-service teachers: A case study" 2 : 1-7, 2012
3 WAGH, Sharmila, "Effective Framework of J48 Algorithm using Semi-Supervised Approach for Intrusion Detection" 94 (94): 2014
4 SAXENA, Ritika, "Educational Data Mining: Performance Evaluation of Decision Tree and Clustering Techniques Using WEKA Platform" IJCSBI. ORG 15 (15): 2015
5 DOGRA, Ashish Kumar, "A Comparative Study of Selected Classification Algorithms of Data Mining" 2015
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Dual-hop Routing Protocol for Improvement of Energy Consumption in Layered WSN Sensor Field
학술지 이력
연월일 | 이력구분 | 이력상세 | 등재구분 |
---|---|---|---|
2027 | 평가예정 | 재인증평가 신청대상 (재인증) | |
2021-01-01 | 평가 | 등재학술지 유지 (재인증) | |
2018-01-01 | 평가 | 등재학술지 선정 (계속평가) | |
2016-08-19 | 학술지명변경 | 한글명 : The International Journal of Advanced Culture Technology -> The International Journal of Advanced Culture Technology | |
2016-01-01 | 평가 | 등재후보학술지 선정 (신규평가) |
학술지 인용정보
기준연도 | WOS-KCI 통합IF(2년) | KCIF(2년) | KCIF(3년) |
---|---|---|---|
2016 | 0 | 0 | 0 |
KCIF(4년) | KCIF(5년) | 중심성지수(3년) | 즉시성지수 |
0 | 0 | 0 | 0 |