TY - GEN
T1 - Study on big data framework for product design
AU - Liu, Zhuang
AU - Gong, Lin
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/7/20
Y1 - 2018/7/20
N2 - With the arrival of the intelligent era, Big Data will play an increasingly important role in all aspects of product design. In the product design stage, comprehensive evaluations such as product quality assessment and social demand exploration are directly associated with various data and information. The advantages of big data in data mining and model prediction can be used to provide new ideas for process optimization and problem improvement of design innovation. Based on this situation, this paper proposes a big data framework based on Hadoop for product design. The framework contains the complete flow of big data analysis, and these processes are efficiently connected with good efficiency and practicality. This paper selects the data sets of product quality design and product demand design respectively, mining the design factors in the product design process through data mining technology, thus providing new ideas for product design.
AB - With the arrival of the intelligent era, Big Data will play an increasingly important role in all aspects of product design. In the product design stage, comprehensive evaluations such as product quality assessment and social demand exploration are directly associated with various data and information. The advantages of big data in data mining and model prediction can be used to provide new ideas for process optimization and problem improvement of design innovation. Based on this situation, this paper proposes a big data framework based on Hadoop for product design. The framework contains the complete flow of big data analysis, and these processes are efficiently connected with good efficiency and practicality. This paper selects the data sets of product quality design and product demand design respectively, mining the design factors in the product design process through data mining technology, thus providing new ideas for product design.
KW - Big data
KW - Data mining
KW - Hadoop
KW - Product design
UR - http://www.scopus.com/inward/record.url?scp=85055673515&partnerID=8YFLogxK
U2 - 10.1145/3239283.3239322
DO - 10.1145/3239283.3239322
M3 - Conference contribution
AN - SCOPUS:85055673515
T3 - ACM International Conference Proceeding Series
SP - 105
EP - 110
BT - Proceedings of the 2018 International Conference on Data Science and Information Technology, DSIT 2018
PB - Association for Computing Machinery
T2 - 2018 International Conference on Data Science and Information Technology, DSIT 2018
Y2 - 20 July 2018 through 22 July 2018
ER -