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International Journal of Knowledge Engineering and Soft Data Paradigms (IJKESDP)

机译:国际知识工程与软数据范例杂志(IJKESDP)

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摘要

Ijkesdp reports the most recent research results in the areas of knowledge engineering and soft data analysis. Knowledge engineering, in contrast to traditional engineering techniques, involves mimicking the performance of human experts in a limited sense. Knowledge engineering with soft data paradigms offers very significant attributes such as learning, autonomy and self-organisation. Objectives The main objective of IJKESDP is to report new research directions in the area of knowledge engineering and soft data paradigms, promoting multidisciplinary research in this area. Researchers, professors, application engineers, business professionals and students will gain considerable benefits through the application-oriented approach taken by the journal.
机译:Ijkesdp报告了知识工程和软数据分析领域的最新研究成果。与传统工程技术相反,知识工程涉及在有限意义上模仿人类专家的表现。带有软数据范例的知识工程提供了非常重要的属性,例如学习,自治和自我组织。目标IJKESDP的主要目标是报告知识工程和软数据范式领域的新研究方向,以促进该领域的多学科研究。研究人员,教授,应用工程师,业务专业人员和学生将通过该期刊采用的面向应用的方法获得可观的收益。

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