2023
DOI: 10.51173/jt.v5i1.1262
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The Impact of Information Technology Integration on the Decision-Making Process

Abstract: In the last decade, information technology tools have witnessed enormous development. Nowadays, they are used in all daily human tasks. Organizations and companies have recently started using information technology tools in all sectors. For example, the decision-making process is an essential task in all organizations. By using information technology components, companies can create a decision-making system that produces more accurate results with less time, effort, and cost. In this paper, the authors describ… Show more

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Cited by 2 publications
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“…The outcomes of this evaluation are shown in Figure 4.4. Analyzing Figure 4.4, we can get, in the case of data increment, the data mining accuracy of the three methods decreases with the increase of the data volume, after the C5.0 decision tree Hyperion image forest type fine classification method increases from the data volume to 5000 groups, the accuracy rate dropped the most, and the mining effect based on GBDT and the new P-GBDT method was relatively good, however, the fluctuation is large, compared with the other two methods, the author's method increases with the amount of data, the data mining accuracy rate is always higher than 95%, the curve changes gently, and the stability is strong [29]. Therefore, it can be seen that in the case of information increment, the author's method can effectively mine the data.…”
Section: Comparison Of Incremental Mining Capabilitymentioning
confidence: 93%
“…The outcomes of this evaluation are shown in Figure 4.4. Analyzing Figure 4.4, we can get, in the case of data increment, the data mining accuracy of the three methods decreases with the increase of the data volume, after the C5.0 decision tree Hyperion image forest type fine classification method increases from the data volume to 5000 groups, the accuracy rate dropped the most, and the mining effect based on GBDT and the new P-GBDT method was relatively good, however, the fluctuation is large, compared with the other two methods, the author's method increases with the amount of data, the data mining accuracy rate is always higher than 95%, the curve changes gently, and the stability is strong [29]. Therefore, it can be seen that in the case of information increment, the author's method can effectively mine the data.…”
Section: Comparison Of Incremental Mining Capabilitymentioning
confidence: 93%