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- W2910253418 abstract "Knowledge assets are the knowledge drivers of anorganization’s success and they can be of structured, unstructured, tacit or explicitknowledge. Explicit knowledge are realized asdocuments and these documents need to be taggedin order to ease the process of retrieval.Suchdocument grouping process can help anorganisation to meet legal and regulatory requirements for retrieving specific information in a set timeframe. Current document clusteringtechniques rely on a pre-defined value of k(number of clusters). Hence, the produced clusterswill be of different quality. This study presents the employment of swarm intelligence algorithm, i.e Firefly Algorithm, to automatically cluster text document without the use of k value. Experimental results shows that the performance of the algorithm is better compared to the benchmark methods. The number of obtained clusters are the same as the ones defined in the data collection while the purity value for three out of four datasets are higher than the benchmark methods. Hence, this indicates that the proposed swarm intelligence based clustering facilitates the grouping of knowledge assets. By having an automated document clustering, tagging the document with their appropriate label will helporganization to better manage their knowledgeassets." @default.
- W2910253418 created "2019-01-25" @default.
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- W2910253418 date "2018-07-25" @default.
- W2910253418 modified "2023-09-26" @default.
- W2910253418 title "Optimizing the Management of Knowledge Assets using Swarm Intelligence" @default.
- W2910253418 hasPublicationYear "2018" @default.
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