Earticle

초록

영어

Red tide is a temporary natural phenomenon involving harmful algal blooms (HABs) in company with a changing sea color from normal to red or reddish brown, and which has a bad influence on coast environments and sea ecosystems. Recent wide spread and persistent HABs give seriously impact public health and the economy of fisheries along coasts of many countries, since it mainly kills fish mainly and results in occasional shellfish poisoning. If we can predict the occurrence of red tide, we will be able to minimize the damage of HABs by a quick preparation of mitigation activity. To enhance the automatic forecast of red tide, this paper proposes a red tide prediction method that uses ensemble method. The proposed method can improves the precision of forecast results since the ensemble classifier is enhanced by optimal data of the proposed preprocessing.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Proposed Method
  3.1. Preprocessing
  3.2. Ensemble Method
 4. Experiments and Evaluation
 5. Conclusion
 Acknowledgement
 References

키워드

저자

• Sun Park [ Mokpo National University ]
• Yeonwoo Lee [ Mokpo National University ]
• Seong Ro Lee [ Mokpo National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605