| 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 |