Applying data science for the categorization of plain text email spam

Nurullaev, Azam, Нуруллаев, Азам, Нуруллаев, Азам

Жамият ва инновациялар / Общество и инновации / Society and innovations · 2024-yil

Annotatsiya

Over the last few years there has been offered diverse techniques and methods for removing email spam and some of them are intended to divide and classify them into different subgroups. A group of software engineers has developed several techniques, including a genetic algorithm, K-NN algorithm (which will find а set of K-nearest neighbors), and clustering method (classifying spam messages into several subclasses) to deal with these problems. However, the main function of all the above-mentioned techniques is to promote the user interface and experience of email spam messages by dividing them into subgroups or removing and blocking non-requested messages. This research project will explain algorithms related to eliminating email spam messages and put forward а new suggestions/methods to the problem.

Maqola ma’lumotlari
MualliflarNurullaev, Azam, Нуруллаев, Азам, Нуруллаев, Азам
JurnalЖамият ва инновациялар / Общество и инновации / Society and innovations
NashriyotIn Science МЧЖ
ISSN2181-1415
Nashr sanasi2024-11-25
Jild5
Son11/S
Betlar166-175
TilIngliz
Ilmiy sohaPedagogika
DOI10.47689/2181-1415-vol5-iss11/s-pp166-175
Indeksga qo‘shilgan2026-08-26

DOI: 10.47689/2181-1415-vol5-iss11/s-pp166-175 · Maqolaning asl sahifasi

Kalit so‘zlar

email spam, clustering algorithm, machine learning, spam message classification, genetic algorithm, спам в электронной почте, Алгоритм кластеризации, Машинное обучение, Классификация спам-сообщений, Генетический алгоритм, электрон почта спам, Кластерлаш алгоритми, Cпам хабарларини таснифлаш, Генетик алгоритм

Ilmiy soha

Pedagogika

Iqtibos keltirish

APANurullaev, Azam, Нуруллаев, Азам, & Нуруллаев, Азам (2024). Applying data science for the categorization of plain text email spam. Жамият ва инновациялар / Общество и инновации / Society and innovations, 5(11/S), 166-175. https://doi.org/10.47689/2181-1415-vol5-iss11/s-pp166-175
GOST (OAK)Nurullaev, Azam, Нуруллаев, Азам, Нуруллаев, Азам Applying data science for the categorization of plain text email spam // Жамият ва инновациялар / Общество и инновации / Society and innovations. – 2024. – T. 5, № 11/S. – P. 166-175. – DOI: 10.47689/2181-1415-vol5-iss11/s-pp166-175.
MLANurullaev, Azam, Нуруллаев, Азам, and Нуруллаев, Азам. “Applying data science for the categorization of plain text email spam.” Жамият ва инновациялар / Общество и инновации / Society and innovations, 5(11/S), 166-175, 2024. https://doi.org/10.47689/2181-1415-vol5-iss11/s-pp166-175
ChicagoNurullaev, Azam, Нуруллаев, Азам, and Нуруллаев, Азам. “Applying data science for the categorization of plain text email spam.” Жамият ва инновациялар / Общество и инновации / Society and innovations, 5(11/S), 166-175 (2024). https://doi.org/10.47689/2181-1415-vol5-iss11/s-pp166-175
HarvardNurullaev, Azam, Нуруллаев, Азам, and Нуруллаев, Азам (2024) ‘Applying data science for the categorization of plain text email spam’, Жамият ва инновациялар / Общество и инновации / Society and innovations, 5(11/S), 166-175. https://doi.org/10.47689/2181-1415-vol5-iss11/s-pp166-175
BibTeX
@article{nurullaevazam2024,
  title = {Applying data science for the categorization of plain text email spam},
  author = {Nurullaev, Azam and Нуруллаев, Азам and Нуруллаев, Азам},
  journal = {Жамият ва инновациялар / Общество и инновации / Society and innovations},
  year = {2024},
  volume = {5},
  number = {11/S},
  pages = {166-175},
  doi = {10.47689/2181-1415-vol5-iss11/s-pp166-175},
  url = {https://doi.org/10.47689/2181-1415-vol5-iss11/s-pp166-175}
}

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