摘要
以顾客价值需求及行为理论为顾客需求管理领域的先验性知识,提出一种基于领域先验知识本体的需求数据挖掘改进方法,包括建立顾客需求领域本体和任务本体、引入本体进行挖掘的数据空间组织、挖掘算法选择及约束条件设置,并以移动服务为背景,给出该方法的应用示例及对管理决策的支持。
Taking the customer value demand and behavioral theory as the apriority knowledge in the customer demand management field, this paper proposes an improved method for required data mining based on the domain apriority knowledge ontology, including establishing the customer demand domain ontology and task ontology, introducing the ontology into the organization of the mined data space, selecting the mining algorithm, and setting the constraints. Besides, taking the mobile service as the background, the paper gives the application example of the method and the support to management decision making.
出处
《情报理论与实践》
CSSCI
北大核心
2012年第1期106-110,共5页
Information Studies:Theory & Application
基金
国家自然科学基金项目"基于关系演进的客户心理契约与关系意愿辨析及关系保持策略研究"的成果
项目编号:70771086
关键词
顾客价值需求
领域知识
本体
数据挖掘
customer value demand
domain knowledge
ontology
data mining
