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Volume 20, Issue 42022
Publisher:
  • Inderscience Publishers
  • World Trade Center Bldg, 29, route de Pre-Bois, Case Postale 896
  • Geneva 15
  • Switzerland
ISSN:1743-8195
EISSN:1743-8187
Reflects downloads up to 16 Nov 2024Bibliometrics
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research-article
Solving a restriction of Bayesian network in giving domain knowledge by introducing factor nodes

Bayesian network is a probabilistic inference model that is effective for decision-making in business such as product development. Multiple events are represented as oval nodes and their relationships are drawn as edges among them. However, in order to ...

research-article
Privacy preservation of the user data and properly balancing between privacy and utility

The privacy and utility are the trade-off factors, where the performance of one factor should sacrifice to achieve the other. If privacy is achieved without publishing the data, then efficient utility cannot be achieved, hence the original dataset tends ...

research-article
Chaotic activities recognising during the pre-processing event data phase

Process mining aims at obtaining insights into business processes by extracting knowledge from event data. Indeed, the quality of events is a crucial element for generating process models, to reflect business process reality. To do so, pre-processing ...

research-article
Harnessing the meteorological effect for predicting the retail price of rice in Bangladesh

Bangladesh has seen an absurd, steeper prize-hike for the last couple of years in one of the most consumed foods taken by millions of people every single day: rice. The impact of this phenomenon, however, is indispensably critical, especially to the one ...

research-article
Predicting students' academic performance using machine learning techniques: a literature review

The amount of students' data stored in educational databases is increasing rapidly. These databases contain hidden patterns and useful information about students' behaviour and performance. Data mining is the most effective method to analyse the stored ...

research-article
Customer segmentation using various machine learning techniques

In the field of retail industry and marketing, customer segmentation is one of the most important tasks. A proper customer segmentation can help the managers to enhance the quality of products and provide better services for the targeting segments. ...

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