Title :
An Artificial Intelligence Computer System for Analysis of Social-Infrastructure Data
Author :
Kudo, Fumiya ; Akitomi, Tomoaki ; Moriwaki, Norihiko
Abstract :
Development of big data analysis technologies has been highly competitive among companies and organizations. An artificial intelligence (AI) computer system, based on the basic idea of automating big-data analysis, called "H" is proposed and evaluated in this paper. It automates big-data analysis by creating hundreds of thousands of candidate features related to an outcome. It was applied for analyzing work-log data in a logistics company. The evaluation results confirm the effect of the system on the productivity of the company, namely, a 5.23% improvement in productivity.
Keywords :
Artificial intelligence; Big data; Companies; Computers; Feature extraction; Linear programming; Productivity; Artificial Intelligence Computer System; Big Data Analysis; Data Mining; Decision Making; Knowledge Extraction; Multivariate Analysis; Social Infrastructure Data;
Conference_Titel :
Business Informatics (CBI), 2015 IEEE 17th Conference on
Conference_Location :
Lisbon, Portugal
DOI :
10.1109/CBI.2015.26
