CAJ | 학술논문

探讨数据挖掘在现今关联规则算法中的使用情况，提出目前研究关联规则的研究现状，针对现状，总结出一种新的研究分析关联方法，指出关联规则算法在今后的出路以及进一步的研究方向。利用分析文献查询和比较分析方法，阐述各种方法对典型关联的影响，其中作为一个为基点是以核心Apriori的算法。结论是Apriori算法仍然有一些不能消除的缺点，这有待进一步研究，同时指出今后的研究方向需要提高大量数据的运算效率，并且能够与OLAP相互结合生产结果的可视化。
탐토수거알굴재현금관련규칙산법중적사용정황，제출목전연구관련규칙적연구현상，침대현상，총결출일충신적연구분석관련방법，지출관련규칙산법재금후적출로이급진일보적연구방향。이용분석문헌사순화비교분석방법，천술각충방법대전형관련적영향，기중작위일개위기점시이핵심Apriori적산법。결론시Apriori산법잉연유일사불능소제적결점，저유대진일보연구，동시지출금후적연구방향수요제고대량수거적운산효솔，병차능구여OLAP상호결합생산결과적가시화。
To explore the data used in the algorithm of association rules mining, proposes the research status, sums up a new research association analysis method according to the present situation, points out the algorithm of association rules in the future and further work. Using the analysis of literature search and comparative analysis method, to discuss the influence of various methods of typical connection, which serves as a basis for the Apriori algorithm. Conclusion still has some cannot eliminate the disadvantages of Apriori algorithm, which need further research, and points out the direction of future research to improve the computation efficiency of large amounts of data, can produce the visualization of results combined with OLAP.