Finding hierarchical patterns in large POS data using historical trees

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Data mining for design and marketing
1. Verfasser:	Nakahara, Takanobu (VerfasserIn)
Weitere Verfasser:	Morita, Hiroyuki (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2009
Schlagworte:	Data Mining > IT-gestütztes Marketing > Entscheidungsbaum > Japan > Aufsatz im Buch
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Titel	Jahr	Verfasser
Sensing values in designing products and markets on data mining and visualizations	2009	Ohsawa, Yukio
Analysis framework for knowledge discovery related to persuasion process conversation logs	2009	Sunayama, Wataru
Formal concept analysis with attribute priorities	2009	Belohlavek, Radim
Visualizing RFID tag data in a library for detecting latent interest of users	2009	Ohsawa, Yukio
The use of online market analysis systems to achieve competitive advantage	2009	Zhao, Lihua
Data mining for improved Web site design and enhanced marketing	2009	Omari, Asem
Mining for influence leaders in global teamwork projects	2009
Association bundle-based market basket analysis	2009
A method to search ARX model orders and its application to sales dynamics analysis	2009
Discourse analysis and creativity support for concept product design	2009	Yasui, Noriko Imafuji
Improving and applying chance discovery for design analysis	2009	Bojduj, Brett
A data-mining framework for designing personalized e-commerce support tools	2009
Reframing the data-mining process	2009	Bergner, David
Finding hierarchical patterns in large POS data using historical trees	2009	Nakahara, Takanobu
Data crystallization with human interactions applied for designing new products	2009	Horie, Kenichi
Literature categorization system for automated database retrieval of scientific articles based on dedicated taxonomy	2009
An adjacency matrix approach for extracting user sentiments	2009	Shi, Bin