MA’LUMOTLARNI VIZUALIZATSIYA QILISH UCHUN ASOSIY TEXNOLOGIYALAR HAMDA ULARNING ONLINE PLATFORMALARDA QO’LLANILISHI. VIZUAL DATA MINING.

Авторы

  • Ziyoda Norqulova Toshkent axborot texnologiyalari universiteti
  • Ma'rufjon Ro'ziyev Buxoro viloyati Olot tumani maktabgacha va maktab ta'limi vazirligiga qarashli 34-maktab

Ключевые слова:

ma’lumot vizualizatsiyasi, vizual data mining, geometriyaga asoslangan texnologiya, piktogramma asosidagi texnologiya, pikselga asoslangan texnologiya, ierarxik texnologiya, tasvirga asoslangan texnologiya

Аннотация

Bugungi kunda ma’lumotlar hajmi yuqori tezlik bilan oshib bormoqda, buning natijasida katta hajmdagi ma’lumotlarni o’rganish va tahlil qilish tobora qiyinlashib bormoqda. Vizual ma'lumotlarni o’rganishning afzalligi foydalanuvchining mining qilish jarayonida bevosita ishtirok etishidir.So’nggi yillarda katta ma'lumotlar to’plamlarini o’rganishni qo’llab-quvvatlash uchun ko’plab visualizatsiya texnikalari mavjud.

Ushbu maqolada biz ma'lumotni vizualizatsiya qilishning tasnifini va visual data mining usullariga asoslangan vizualizatsiya qilinadigan ma'lumotlar turi, vizualizatsiya texnikasi va o’zaro ta'sir texnikasini taklif qilamiz.

Shuningdek,maqolada asosan ma’lumotlarni vizualizatsiya qilish uchun foydalaniladigan asosiy texnologiyalar yoritiladi. Bu texnologiyalar statistika, ma’lumotlar tahlili, axborot grafiklari,infografika va boshqalar kabi ko’rsatkichlarni o’z ichiga oladi. Ma'lumotlarni to’plam, ko’rsatkich, o’zgaruvchanliklar va o’zaro bog'liqliklarni belgilovchi diagrammalar yordamida vizualizatsiya qilish,shunindek,matn, rasm va belgilarni birlashtirib ma'lumotlarni o’rganish tasavvurlar yaratish muhim sanaladi. Ushbu texnologiyalar, ma'lumotlarni murakkablik darajasiga qarab tasvirlash, tushuntirish va tahlil qilishda qulaylik yaratish imkonini beradi.

Библиографические ссылки

Caio Flexa,Walisson Gomes,Sergio Viademonte,Claudomiro Sales,Ronnie Alves.A geometry-based approach to visualize high-dimensional data. 2019 8th Brazilian Conference on Intelligent Systems (BRACIS)

Elif Hilal Korkut and Elif Surer .Visualization in virtual reality: a systematic review. Graduate School of Informatics, Department of Modeling andSimulation, Middle East Technical University, Ankara, 06800, Turkey

Keim D A. Pixel-oriented Visualization Techniques for Exploring Very Large Databases[J]. Journal of Computational and Graphical Statistics,1996, 5(1):58.

Shneiderman B. Tree Visualization with Treemaps: A 2DSpace-Filling Approach[J]. ACM Transactions on Graphics, 1992, 11(1):92.

LIU Kan, ZHOU Xiaozheng, ZHOU Dongru. Data Visualization

Research and development[J]. Computer Engineering, 2002, 28(8):1-2.

Keim Daniel A. Information Visualization and Visual Data Mining[J]. IEEE Transactions on Visualization and Computer Graphics, 2002, 7(1):102-106.

J. Hemanth, Karunya IT, India; M. Bhatia, Amitiy University, India; I. De La Torre Diez, University of Valladolid, Spain.Artificial Intelligence for Virtual Reality

D. Tang C. Stolte and P. Hanrahan, “Polaris: A system for query, analysis and visualization of multi-dimensional relational databases,” Transactions on Visualization and Computer Graphics, 2001.

J. Abello and J. Korn, “Mgv: A system for visualizing massive multi-digraphs,” Transactions on Visualization and Computer Graphics, 2001.

N. Lopez M. Kreuseler and H. Schumann, “A scalable frameworkfor information visualization,” Transactions on Visualization and Computer Graphics, 2001.

D. Keim, “Designing pixel-oriented visualization techniques:Theory and applications,” Transactions on Visualization and Computer Graphics, vol. 6, no. 1, pp. 59–78, Jan–Mar 2000.

B. Shneiderman, “Tree visualization with treemaps: A 2D spacefilling approach,” ACM Transactions on Graphics, vol. 11, no. 1, pp. 92–99, 1992.

B. Johnson and B. Shneiderman, “Treemaps: A space-filling approach to the visualization of hierarchical information,” in Proc. Visualization ’91 Conf, 1991, pp. 284–291.

M. O. Ward, “Xmdvtool: Integrating multiple methods for visualizing multivariate data,” in Proc. Visualization 94, Washington,DC, 1994, pp. 326–336

Mo‘minov B., Egamberdiyev E. NORAVSHAN QIYMATLAR ASOSIDA QAROR QABUL QILISH //International Scientific and Practical Conference on Algorithms and Current Problems of Programming. – 2023.

Загрузки

Опубликован

2023-09-20

Как цитировать

Norqulova, Z., & Ro’ziyev , M. (2023). MA’LUMOTLARNI VIZUALIZATSIYA QILISH UCHUN ASOSIY TEXNOLOGIYALAR HAMDA ULARNING ONLINE PLATFORMALARDA QO’LLANILISHI. VIZUAL DATA MINING. Цифровая трансформация и искусственный интеллект, 1(2), 179–184. извлечено от https://dtai.tsue.uz/index.php/dtai/article/view/v1i228_1