On the Complexity of the Reduction of Multidimensional Data Models

التفاصيل البيبلوغرافية
العنوان: On the Complexity of the Reduction of Multidimensional Data Models
المؤلفون: V. Z. Rakhmankulov, K. V. Yuzhanin, A. A. Akhrem
المصدر: Scientific and Technical Information Processing. 44:406-411
بيانات النشر: Allerton Press, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Multidimensional analysis, Theoretical computer science, General Computer Science, Computational complexity theory, Computer science, Online analytical processing, 010102 general mathematics, Multidimensional data, 02 engineering and technology, 01 natural sciences, Reduction (complexity), 0202 electrical engineering, electronic engineering, information engineering, Decomposition (computer science), 020201 artificial intelligence & image processing, Hypercube, 0101 mathematics
الوصف: In this paper, decomposition methods for multidimensional data hypercubes of OLAP systems are investigated. Criteria for reducing the computational complexity of the decomposition methods are presented and comparisons are made with the traditional solutions of multidimensional data analysis problems. Examples illustrating the application of these criteria to investigating the dynamics of computational complexity changes for specific types of reduction problems are considered.
تدمد: 1934-8118
0147-6882
DOI: 10.3103/s0147688217060028
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::927545a82c002eecedb88af6f7eaa47f
https://doi.org/10.3103/s0147688217060028
Rights: CLOSED
رقم الانضمام: edsair.doi...........927545a82c002eecedb88af6f7eaa47f
قاعدة البيانات: OpenAIRE
الوصف
تدمد:19348118
01476882
DOI:10.3103/s0147688217060028