CAJ | 학술논문

针对大数据处理需求提出基于云平台的案例检索算法.利用MapReduce技术改进了案例检索算法中常用的最近邻法,使其能够在多个服务器节点上并行执行,从而提高在海量数据情形下的案例检索速度.实验表明:基于云平台的案例检索速度高于单节点检索,集群节点的数量对案例检索有一定的影响.
침대대수거처리수구제출기우운평태적안례검색산법.이용MapReduce기술개진료안례검색산법중상용적최근린법,사기능구재다개복무기절점상병행집행,종이제고재해량수거정형하적안례검색속도.실험표명:기우운평태적안례검색속도고우단절점검색,집군절점적수량대안례검색유일정적영향.
A new case retrieval technique based on cloud platform was presented in order to process large amount of data. The KNN used in case retrieval was improved by using MapReduce technology,so that it can be executed in parallel across multiple server nodes and improve the speed of case retrieval among large amount of data. Experiments show that the case-based reasoning based on cloud platform is faster than that of the normal mode and the node number of the cluster has a cer-tain effect on case-based reasoning.