Improving the Efficiency of Decision Support Systems Based on Multidimensional Data Warehouses
A

Improving the Efficiency of Decision Support Systems Based on Multidimensional Data Warehouses

Mathematics
decision support systems multidimensional data warehouses algorithms performance optimization adaptive systems mathematical modeling simulation
Author
T. S. Abbasova, V. M. Artyushenko, E. E. Akimkina
Publisher
Direct-Media
Year
2021
Language
Russian
171
Rate this book

To read the book, log in / register

Preview fragment

Similar books

System modeling of actor interactions for cloud services

System modeling of actor interactions for cloud services

A.V. Skatkov, V.I. Shevchenko, A.A. Bryukhovetsky, D.Yu. Voronin, E.N. Mashchenko, O.V. Chengar

Machine Learning System Design

Machine Learning System Design

Chip Huyen

Principles of Distributed Database Organization

Principles of Distributed Database Organization

M. Tamer Yosu, Patrick Valduriez

Solutions Architect’s Handbook: IT Solution Architecture and Design, 3rd Edition

Solutions Architect’s Handbook: IT Solution Architecture and Design, 3rd Edition

Saurabh Srivastava, Nilaanjali Srivastava

Learning PostgreSQL 10

Learning PostgreSQL 10

Salakhaldin Juba, Andrey Volkov

Designing Event-Driven Systems: Concepts and Patterns for Streaming Services with Apache Kafka

Designing Event-Driven Systems: Concepts and Patterns for Streaming Services with Apache Kafka

Ben Stopford

Development of Intelligent Systems. Introduction to Machine Learning Technology

Development of Intelligent Systems. Introduction to Machine Learning Technology

Jeff Hulten

Meta-learning. Applications in AutoML and Data Science

Meta-learning. Applications in AutoML and Data Science

Pavel Brazdil, Jan van Rijn, Carlos Soares, Joaquin Vanschoren

Simple Object-Oriented Design: Clean and Flexible Code

Simple Object-Oriented Design: Clean and Flexible Code

Aniche Mauricio

Kubernetes in Practice. Building Successful Application Platforms

Kubernetes in Practice. Building Successful Application Platforms

Josh Rosso, Rich Lander, Alexander Brand, John Harris