TY - GEN
T1 - Collective intelligence-based sequential pattern mining approach for marketing data
AU - Tsuboi, Kazuaki
AU - Shinoda, Kosuke
AU - Suwa, Hirohiko
AU - Kurihara, Satoshi
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - It is important to understand consumer needs correctly and clarify target of goods and service in marketing. In recent years, as information processing technology develops, video image analysis also has become as important tool for customer behavior analysis. It is said that discovering consumers’ purchase patterns of choosing purchased goods may be possible by using video data. Video is sequential temporal data, so time-series data mining technique is necessary. And generally consumer behavior is ambiguous. To respond to these situation, we are now developing a collective intelligence-based sequential pattern mining approach with high robustness and adaptability, and this time, we have succeeded in visualizing the relation of goods that they are continuously touched up by consumer.
AB - It is important to understand consumer needs correctly and clarify target of goods and service in marketing. In recent years, as information processing technology develops, video image analysis also has become as important tool for customer behavior analysis. It is said that discovering consumers’ purchase patterns of choosing purchased goods may be possible by using video data. Video is sequential temporal data, so time-series data mining technique is necessary. And generally consumer behavior is ambiguous. To respond to these situation, we are now developing a collective intelligence-based sequential pattern mining approach with high robustness and adaptability, and this time, we have succeeded in visualizing the relation of goods that they are continuously touched up by consumer.
KW - Ant colony optimization
KW - Marketing
KW - Sequential pattern mining
UR - http://www.scopus.com/inward/record.url?scp=84924389880&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84924389880&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-15168-7_44
DO - 10.1007/978-3-319-15168-7_44
M3 - Conference contribution
AN - SCOPUS:84924389880
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 353
EP - 361
BT - Social Informatics - SocInfo 2014 International Workshops, Revised Selected Papers
A2 - McFarland, Daniel
A2 - Aiello, Luca Maria
PB - Springer Verlag
T2 - 6th International Conference on Social Informatics, SocInfo 2014
Y2 - 10 November 2014 through 13 November 2014
ER -
