Data & Knowledge Engineering

Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.

Data & Knowledge Engineering简称DKE，激发了这两个相关领域的思想交流和互动。Data & Knowledge Engineering期刊涵盖了数据库系统、数据挖掘、知识表示与处理等多个方面。投递该期刊的Geo数据库研究，需要在数据管理、数据挖掘、数据库系统等方面有深入的探讨。撰写此类论文时，应着重强调数据模型、查询处理、数据挖掘算法、数据库系统实现等内容，并且要提供详细的实验数据和对比分析。此外，Data & Knowledge Engineering注重理论创新，因此在理论推导和算法分析上需要做到严谨细致，确保研究结果的科学性和可靠性。