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دسته بندی:
مدیریت دانش - knowledge management
سال انتشار:
2021
عنوان انگلیسی مقاله:
Future Generation Computer Systems 116 (2021) 209–219
ترجمه فارسی عنوان مقاله:
سیستم های کامپیوتری نسل آینده 116 (2021) 209-219
منبع:
ScienceDirect- Elsevier- Future Generation Computer Systems, 116 (2021) 209-219: doi:10:1016/j:future:2020:10:022
نویسنده:
Fethi A. Rabhi a, Madhushi Bandara a,∗, Kun Lu a,b, Saif Dewan c,a
چکیده انگلیسی:
An organisation wishing to conduct data analytics to support day-to-day decision making often needs
a system to help analysts represent and maintain knowledge about research variables, datasets or
analytical models, and effectively determine the best combination to use when solving the problem at
hand. Often, such knowledge is not explicitly captured by the organisation. To address this problem,
this paper presents the design of an innovative Information Technology (IT) platform which enables
data sharing between different analytics models and provides the ability to extend or customise models
or data sources without necessarily involving the analysts who created them. It can make analytics
knowledge readily available and modifiable for future use and problem-solving by analysts and other
stakeholders. In the context of our work, we organise analytics knowledge around the concept of a
research variable, which analysts often use when defining and proving a hypothesis. By focusing on
such a concept, this platform is particularly suited to develop empirical data analytics applications in
any domain. This paper presents the architecture of this platform, including the knowledge base and
the Application Programming Interface (API) layer. Capabilities of this platform are illustrated through
a software prototype and a use case on property price prediction across Sydney, Australia.
keywords: تجزیه و تحلیل پیش بینی | مدیریت دانش | دانش محور | مدل سازی معنایی | هستی شناسی | Predictive analytics | Knowledge management | Knowledge base | Semantic modelling | Ontologies
قیمت: رایگان
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