This study utilizes association rule learning and clustering analysis to explore the co-occurrence and relationships within ecosystems, focusing on the endangered brackish-water snail Clithon retropictum, classified as Class II endangered wildlife in Korea. The goal is to analyze co-occurrence patterns between brackish-water snails and other species to better understand their roles within the ecosystem. By examining co-occurrence patterns and relationships among species in large datasets, association rule learning aids in identifying significant relationships. Meanwhile, K-means and hierarchical clustering analyses are employed to assess ecological similarities and differences among species, facilitating their classification based on ecological characteristics. The findings reveal a significant level of relationship and co-occurrence between brackish-water snails and other species. This research underscores the importance of understanding these relationships for the conservation of endangered species like C. retropictum and for developing effective ecosystem management strategies. By emphasizing the role of a data-driven approach, this study contributes to advancing our knowledge on biodiversity conservation and ecosystem health, proposing new directions for future research in ecosystem management and conservation strategies.

서 론
재료 및 방 법
    1. 자료수집
    2. 자료분석
결 과
    1. 기수갈고둥 분포
    2. 조사 지점별 종 다양성 및 출현 빈도
    3. 기수갈고둥 출현과 연관된 종들의 공동출현 분석
    4. K-means 군집분석 및 계층적 군집분석
고 찰
    1. 연관 규칙 학습을 통한 기수갈고둥을 중심으로 한생물종 간 공동출현
    2. 연관 규칙 학습과 전통적인 군집분석 방법론의 비교
적 요
REFERENCES

• 임성호((주)생태조사단 부설 두희생태연구소, 공주대학교 생명과학과) | Sung-Ho Lim (Doohee Institute of Ecological Research, Korea Ecosystem Service Inc., Ansan 15426, Republic of Korea, Department of Biological Sciences, Kongju National University, Gongju 32588, Republic of Korea)
• 도윤호((주)생태조사단 부설 두희생태연구소) | Yuno Do (Doohee Institute of Ecological Research, Korea Ecosystem Service Inc., Ansan 15426, Republic of Korea) Corresponding author