• Title/Summary/Keyword: 비정형적 구조의 데이터세트

Search Result 2, Processing Time 0.017 seconds

An Effective Control Scheme for Unstructued Dataset in the Communication Environments (통신 환경에서 비정형적 구조를 갖는 데이터세트의 효과적인 제어 방법)

  • Bae, Myung-Nam;Choi, Wan;Lee, Dong-Chun
    • The KIPS Transactions:PartC
    • /
    • v.9C no.1
    • /
    • pp.31-38
    • /
    • 2002
  • Communication systems, such as Switching System, are operated in the restricted conditions that the suggested events must finish in the time-constraints. Therefore, the data in the systems requires not only rapid access time, but also completion in the restricted time. Many existing data systems have been developed and used in the communication environments. But, the system construct a structural scheme and provide users with basic data services only. In recent, as the complexity of data in the communication area is rapidly increasing, it requires the data system which can represent the unstructured dataset and complete the data access in this dataset on the restricted condition. In this paper, we propose the data model which is suitable to the unstructured multi-dataset environment. The data model supports the rapid data access for unstructured dataset and enables users to easily retrieve data needed at the execution. In addition to, we define the several algorithms to clarify the structure of our model.

Research of Semantic Considered Tree Mining Method for an Intelligent Knowledge-Services Platform

  • Paik, Juryon
    • Journal of the Korea Society of Computer and Information
    • /
    • v.25 no.5
    • /
    • pp.27-36
    • /
    • 2020
  • In this paper, we propose a method to derive valuable but hidden infromation from the data which is the core foundation in the 4th Industrial Revolution to pursue knowledge-based service fusion. The hyper-connected societies characterized by IoT inevitably produce big data, and with the data in order to derive optimal services for trouble situations it is first processed by discovering valuable information. A data-centric IoT platform is a platform to collect, store, manage, and integrate the data from variable devices, which is actually a type of middleware platforms. Its purpose is to provide suitable solutions for challenged problems after processing and analyzing the data, that depends on efficient and accurate algorithms performing the work of data analysis. To this end, we propose specially designed structures to store IoT data without losing the semantics and provide algorithms to discover the useful information with several definitions and proofs to show the soundness.