MULTITIPLI MA’LUMOTLARGA INTELLEKTUAL ISHLOV BERISH

Bahodir Mo’minov; Elyor Egamberdiyev

Авторы

Bahodir Mo’minov Toshkent davlat iqtisodiyot universiteti
Elyor Egamberdiyev Toshkent axborot texnologiyalari universiteti

Ключевые слова:

Multitipli ma’lumotlar, Discrete Fourier Transform, Principal Component Analysis, K-Means Clustering, Tokenizatsiya, Stem-ming, Lemmatization, Word2Vec, TF-IDF, NLTK, spaCy

Аннотация

Bigdatalarning paydo bo'lishi raqamli, toifali, matnli va tasvirli kabi turli xil ma'lumotlar turlarini o'z ichiga olgan davrni boshladi. Bunday multitipli ma'lumotlardan samarali foydalanish turli sohalarda, jumladan, mashinani o'rganish, data science va sun'iy intellektda hal qiluvchi vazifaga aylandi. Ushbu maqola multitipli ma'lumotlarni qayta ishlashni o'rganish, tahlil qilish va qaror qabul qilishni yaxshilash uchun ma'lumotlar manbalarini integratsiyalash usullarini, qiyinchiliklarini va imkoniyatlarini muhokama qilishdan iborat.

Библиографические ссылки

Regalia P. Adaptive IIR filtering in signal processing and control. – Routledge, 2018.

Aström K. J., Goodwin G. C., Kumar P. R. (ed.). Adaptive control, filtering, and signal processing. – Springer Science & Business Media, 2012. – Т. 74.

Weiqi Dai, Chunkai Dai, Kim-Kwang Raymond Choo, Changze Cui, Deiqing Zou, Hai Jin. SDTE: A secure blockchain-based data trading ecosystem. IEEE Transactions on Information Forensics and Security, 15: 725-737, 2020.

Wang Z. Fast algorithms for the discrete W transform and for the discrete Fourier transform //IEEE Transactions on Acoustics, Speech, and Signal Processing. – 1984. – Т. 32. – №. 4. – С. 803-816.

Kurita T. Principal component analysis (PCA) //Computer Vision: A Reference Guide. – 2019. – С. 1-4.

Hartigan J. A., Wong M. A. Algorithm AS 136: A k-means clustering algorithm //Journal of the royal statistical society. series c (applied statistics). – 1979. – Т. 28. – №. 1. – С. 100-108.

Parygin D. S. et al. Categorical data processing for real estate objects valuation using statistical analysis //Journal of Physics: Conference Series. – IOP Publishing, 2018. – Т. 1015. – №. 3. – С. 032102.

El-Metwally S. et al. Next-generation sequence assembly: four stages of data processing and computational challenges //PLoS computational biology. – 2013. – Т. 9. – №. 12. – С. e1003345.

Ye M. et al. Specific person retrieval via incomplete text description //Proceedings of the 5th ACM on International Conference on Multimedia Retrieval. – 2015. – С. 547-550.

Bird S., Klein E., Loper E. Natural language processing with Python: analyzing text with the natural language toolkit. – " O'Reilly Media, Inc.", 2009.

Mo’minov B., Egamberdiyev E. A NEURO-FUZZY MODEL FOR PREDICTING SUCCESSFUL PASSING OF ENTRANCE EXAMS OF APPLICANTS TO HIGHER EDUCATION //Central Asian Journal of Education and Computer Sciences (CAJECS). – 2023. – Т. 2. – №. 2. – С. 6-13