Title :
Business intelligence: An artificial bee colony optimization approach
Author :
Anusha, R. ; Nallaperumal, Krishnan
Author_Institution :
Center for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India
Abstract :
Data mining is a knowledge discovery process which deals with the broad process of finding knowledge in data analyzing large storage of data in order to identify the relevant data. It is a powerful tool to uncover relationships within the data. Business intelligence (BI), is a distinctive term that refers to a lot of software applications, it is normally used to investigate a company´s raw data for automatic decision making. The main concept of BI is a fact-based decision making and the result must be unique truth. The important function of BI systems is to afford decision makers with tools and techniques that permit them to create efficient and suitable decisions. Nature inspired algorithms have their process observed in nature as their origin. The best feature of Artificial honey bee algorithm, which is a nature inspired swarm algorithm based on the behaviour of natural bee colonies. It is a parallel search over the problem data and previously obtained results from it.
Keywords :
Algorithm design and analysis; Data mining; Databases; Decision making; Genetic algorithms; Optimization; Artificial honey bee algorithm; Business intelligence; Nature inspired algorithms; i decision making; knowledge discovery process;
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-3974-9
DOI :
10.1109/ICCIC.2014.7238561