Data Mining-Based Variant Subset Features

Chakraborty, Sanjay; Islam, SK Hafizul; Samanta, Debabrata

doi:10.1007/978-3-030-93088-2_8

EAI/Springer Innovations in Communication and Computing

2022

DOI: 10.1007/978-3-030-93088-2_8

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Data Mining-Based Variant Subset Features

Sanjay Chakraborty¹,

SK Hafizul Islam

Debabrata Samanta

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2024

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Challenges in Scientific Research in CIT Programs in Kosovo

Gashi

2024

The Climate Change Crisis and Its Impact on Mental Health

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This proposal seeks to evaluate the level of the programs of Computer Information Technology (CIT) in Kosovo to the standards set by the Kosovo Accreditation Agency. During the evaluation, it will include scientific research reports in the CIT programs and the reports of accreditation, in which aim will be to evaluate strengths and weaknesses and to suggest areas in which improvements can be made in this field of study. Access to confidential data in institutions is a challenge. The study is significant since it provides insights into the way to improve the quality of CIT education. In addition, the paper indicates how jobs linked to the CIT sector would enhance environmental conservation and climate change mitigation, as well as mental health through job creation.

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Challenges in Scientific Research in CIT Programs in Kosovo

Gashi

2024

The Climate Change Crisis and Its Impact on Mental Health

View full text Add to dashboard Cite

show abstract

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Data Mining-Based Variant Subset Features

Cited by 1 publication

References 30 publications

Challenges in Scientific Research in CIT Programs in Kosovo

Challenges in Scientific Research in CIT Programs in Kosovo

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