Computational linguistics and intelligent systems

Permanent URI for this communityhttps://ena.lpnu.ua/handle/ntb/39447

Browse

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Knowledge-based Big Data Cleanup method
    (Lviv Politechnic Publishing House, 2019-04-18) Berko, Andrii; Lviv Polytechnic National University
    Unlike traditional databases, Big Data stored as NoSQL data resources. Therefore such resources are not ready for efficient use in its original form in most cases. It is due to the availability of various kinds of data anomalies. Most of these anomalies are such as data duplication, ambiguity, inaccuracy, contradiction, absence, the incompleteness of data, etc. To eliminate such incorrectness, data source special cleanup procedures are needed. Data cleanup process requires additional information about the composition, content, meaning, and function of this Big Data resource. Using the special knowledge base can provide a resolving of such problem.