Intelligent Traversal through the Information Wilderness: Towards Knowledge Discovery and Decision Support

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dc.contributor.author OJOKOH, Bolanle Adefowoke
dc.date.accessioned 2024-07-10T10:15:51Z
dc.date.available 2024-07-10T10:15:51Z
dc.date.issued 2024-06-25
dc.identifier.uri http://196.220.128.81:8080/xmlui/handle/123456789/5707
dc.description 98p.:ill.;21cm. en_US
dc.description.abstract In the vast information wilderness, a variety of tools have been developed and are being studied to help navigate and discover valuable knowledge. Some of these include search engines, information retrieval tools and techniques, citation management tools, and other AI applications like recommendation systems and chatbots. Search engines, the most common tools, like the widely used Google act as your compass and map. They help you define your destination (search query) and provide paths to reach it (search results), hence allowing the exploration of a vast amount of information efficiently and quickly. Information retrieval techniques involve strategies for formulating effective search queries, filtering results by date, source type, or keywords, and using advanced search operators for more... en_US
dc.description.sponsorship FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE en_US
dc.language.iso en en_US
dc.publisher FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE en_US
dc.relation.ispartofseries INAGUARAL LECTURE SERIES;168
dc.subject Research Subject Categories::TECHNOLOGY::Information technology::Computer science en_US
dc.subject Artificial Intelligence) en_US
dc.subject Metadata Extraction en_US
dc.subject Machine learning en_US
dc.subject Hidden Markov Model (HMM) en_US
dc.subject Fuzzy Logic System en_US
dc.title Intelligent Traversal through the Information Wilderness: Towards Knowledge Discovery and Decision Support en_US
dc.type Other en_US


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