Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event ...
This paper reviews the basics of the contextual knowledge domain and then proposes a method by which context and data mining quality factors could be merged and ...
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Machine learning algorithms can be trained to analyze contextual data and identify patterns, make predictions, or generate recommendations. By feeding the ...
Jul 4, 2021 · Data mining technique plays a vital role in searching intrusion detection, network attacks, and anomalies. These techniques help in selecting ...
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Data mining methods might be used to give valuable and real-time context information of users in MSNs, which enhance the quality and effectiveness of ...
Data mining is used to explore increasingly large databases and to improve market segmentation. By analysing the relationships between parameters such as ...
Potential Application of Contextual Information Processing To Data Mining. Author: VERT, Gregory1 ; CHENNAMANENI, Anitha2 ; IYENGAR, S. S3
Abstract: Retrieving valuable knowledge and statistical patterns from offi- cial data has a great potential in supporting strategic policy making. Data.
Aug 29, 2024 · Data mining applications are essential for automating the analysis of large data sets to uncover hidden patterns and inform strategic decisions ...
Social computing uses information processing technology and computational methods to conduct data mining and analysis to reveal hidden collective and ...