With the cultural significance of nature protection as an analytical tool, this paper analyzes human attitudes towards natural objects by linking the objectives of nature protection with the cultural benefits of the environment, and examines the cultural effects between "human" and the natural protection environment. In this study, human intervention in nature and the environment needs to design rules based on human needs and relevant values. Association rules mainly include behavior rules, ethical principles and moral norms. These association rules often involve behaviors beyond a certain scope, but they are an important part of the purpose of nature protection. They establish an interdependence between society and nature. Through the association with these rules, people will be able to effectively reflect their attitudes towards and constraints on the way of nature conservation. At the same time, human beings have also made contributions to mankind through themselves.

Oyun-Erdene Boldsaikhan. The Cultural Benefits of Natural Protection Based on Association Rules . Nature Environmental Protection (2020), Vol. 1, Issue 4: 1-10. https://doi.org/10.38007/NEP.2020.010401.

[1] Isabel Pedersen, Nathan Gale, Pejman Mirza-Babaei, Samantha Reid. More than Meets the Eye: The Benefits of Augmented Reality and Holographic Displays for Digital Cultural Heritage. ACM Journal on Computing and Cultural Heritage. (2017) 10(2): 11:1-11:15. https://doi.org/1 0.1145/30 51480

[2] Sofia Pescarin, Bruno Fanini, Daniele Ferdani, Keith Mifsud, Andrew Hamilton. Optimising Environmental Educational Narrative Videogames: The Case of 'A Night in the Forum'. ACM Journal on Computing and Cultural Heritage. (2020) 13(4): 31:1-31:23. https://doi.or g/10.1145/342 4952

[3] Cui Wei, Wan An-Wei, Feng Jun-Chao, Zhu Zhi-Yuan. Analysis of Local Government Behaviors and Technology Decomposition of Carbon Emission Reduction under Hard Environmental Protection Constraints. Int. J. Perform. Eng. (2020) 16(2): 195-202. https://doi.org/10.23940/ijp e.20.02.p4.195202

[4] Danh Bui Thi, Pieter Meysman, Kris Laukens. MoMAC: Multi-objective Optimization to Combine Multiple Association Rules into An Interpretable Classification. Appl. Intell. (2020) 52(3): 3090-3102. 

[5] Salim El Khediri, Adel Thaljaoui, Fayez Alfayez. A Novel Decision-Making Process for COVID-19 Fighting Based on Association Rules and Bayesian Methods. Comput. J. (2020) 65(9): 2360-2376. https://doi.org/10.1093/comjnl/bxab071

[6] Chao-Hua Yu. Experimental Implementation of Quantum Algorithm for Association Rules Mining. IEEE J. Emerg. Sel. Topics Circuits Syst. (2020) 12(3): 676-684. 

[7] Geeta S Navale, Suresh N Mali. A Multi-Analysis on Privacy Preservation of Association Rules Using Hybridized Approach. Evol. Intell. (2020) 15(2): 1051-1065.

[8] Trinh T T Tran, Tu N Nguyen, Thuan T Nguyen, Giang L Nguyen, Chau N Truong, A Fuzzy Association Rules Mining Algorithm with Fuzzy Partitioning Optimization for Intelligent Decision Systems. Int. J. Fuzzy Syst. (2020) 24(5): 2617-2630. 

[9] Syam Menon, Abhijeet Ghoshal, Sumit Sarkar. Modifying Transactional Databases to Hide Sensitive Association Rules. Inf. Syst. Res. (2020) 33(1): 152-178. https://doi.org/10.128 7/isre.2020.1033

[10] Sahana P Shankar, Naresh E, Harshit Agrawal. Optimization of Association Rules Using Hybrid Data Mining Technique. Innov. Syst. Softw. Eng. (2020) 18(2): 251-261. 

[11] Dede Rohidin, Noor Azah Samsudin, Mustafa Mat Deris. Association Rules of Fuzzy Soft Set Based Classification for Text Classification Problem. J. King Saud Univ. Comput. Inf. Sci. (2020) 34(3): 801-812. https://doi.org/10.1016/j.jksuci.2020.03.014

[12] Seyed Hassan Mirhashemi, Farhad Mirzaei. Using Combined Clustering Algorithms and Association Rules for Better Management of the Amount of Water Delivered to the Irrigation Network of Abyek Plain, Iran. Neural Comput. Appl. (2020) 34(5): 3875-3883. 

[13] Mozamel M Saeed, Zaher Al Aghbari. ARTC: Feature Selection Using Association Rules for Text Classification. Neural Comput. Appl. (2020) 34(24): 22519-22529. 

[14] Marina Vives-Mestres, Ron S Kenett, Santiago Thió-Henestrosa, Josep-Antoni Martín-Fernández. Measurement, Selection, and Visualization of Association Rules: A Compositional Data Perspective. Qual. Reliab. Eng. Int. (2020) 38(3): 1327-1339.

[15] Mai Shawkat, Mahmoud Badawi, Sally M El-Ghamrawy, Reham Arnous, Ali I Eldesoky. An Optimized FP-Growth Algorithm for Discovery of Association Rules. J. Supercomput. (2020) 78(4): 5479-5506. 

[16] Tran Duy Thanh, Jun-Ho Huh. Building A Model to Exploit Association Rules and Analyze Purchasing Behavior Based on Rough Set Theory. J. Supercomput. (2020) 78(8): 11051-11091. 

[17] Trinh Viet Thong, Kosuke Takano, Kin Fun Li. A Recommendation Method of Health Articles Based on Association Rules for Health Terms Appeared on Web Documents and Their Application Systems. (2020) AINA (3): 209-219. https://doi.org/10.1007/978-3-030-99619-2_21

[18] Jamolbek Mattiev, Branko Kavsek. Distance Based Clustering of Class Association Rules to Build A Compact, Accurate and Descriptive Classifier. Comput. Sci. Inf. Syst. (2020) 18(3): 791-811. https://doi.org/10.2298/CSIS200430037M