[HTML][HTML] Machine learning based representative spatio-temporal event documents classification
As the scale of online news and social media expands, attempts to analyze the latest social
issues and consumer trends are increasing. Research on detecting spatio-temporal event …
issues and consumer trends are increasing. Research on detecting spatio-temporal event …
[HTML][HTML] Word-level embedding to improve performance of representative spatio-temporal document classification
B Kim, HJ Jang - Journal of Information Processing Systems, 2023 - xml.thinkonweb.com
Tokenization is the process of segmenting the input text into smaller units of text, and it is a
preprocessing task that is mainly performed to improve the efficiency of the machine …
preprocessing task that is mainly performed to improve the efficiency of the machine …
[HTML][HTML] Special Issue on Intelligent Computing for Big Data
Passion for a classic research area of computer science, artificial intelligence (AI), has
experienced new momentum in recent years. This is largely inspired by the astonishing …
experienced new momentum in recent years. This is largely inspired by the astonishing …
Big Image Data 15Vs Model for Intelligent Data Ocean of Multimedia Things
A Mahabadi, F Abdolazimi - 2024 - researchsquare.com
The classification of large image data using traditional methods has been based on changes
in image gray features, extraction of edge and contour feature information, or conversion …
in image gray features, extraction of edge and contour feature information, or conversion …
A Challenge of the Representative Spatiotemporal Document Classification and Spatiotemporal Information Extraction
Classification of representative spatiotemporal documents from text data and extraction of
representative spatiotemporal information are necessary studies for searching for specific …
representative spatiotemporal information are necessary studies for searching for specific …