A novel model for capturing and analyzing customers' preferences for ceramic tiles

Recent Researches in Computer Science - Proceedings of the 15th WSEAS International Conference on Computers, Part of the 15th WSEAS CSCC Multiconference

Volumn , Issue , 2011, Pages 460-465

  El Sobky, Hossam ^a   AbdelAzeim, Mostafa ^a  

^a Arab Academy for Science and Technology and Maritime Transport ^*  (Egypt)

Author keywords

Customers' preferences; Mining association rules; RFID technology

Indexed keywords

ANALYTICAL MODEL; CERAMIC TILE; CONVENTIONAL DATA MINING; CUSTOMERS' PREFERENCES; DATA COLLECTION METHOD; DATA MINING TECHNIQUES; DISPLAY SYSTEM; IDENTIFICATION TOOLS; INVENTORY COSTS; LARGE DATABASE; MANUFACTURING ENTERPRISE; MINING ASSOCIATION RULES; MINING PROCESS; PRODUCTION PLANS; PROOF OF CONCEPT; RFID TECHNOLOGY; STOCK LEVEL; TRANSACTION DATA; TRANSACTION RECORDS;

ASSOCIATION RULES; CERAMIC MATERIALS; DATA MINING; DISPLAY DEVICES; MANUFACTURE; MATHEMATICAL MODELS; PRODUCTION CONTROL; SALES; TECHNOLOGY;

CUSTOMER SATISFACTION;

EID: 82955190440     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. H. Yo-Ping, J. Jung-Shian, C. Hau-Chung, "Mining Users Browsing Behavior for Product Promotion in a Multi-touch Display System" Proceedings The 8th International Conference on Computing, Communications and Control Technologies: CCCT 2010, Orlando, Florida USA, 2010.
2. H. Yo-Ping, W. Shan-Shan, D. Zheng-Hong, "An Interactive RFID-based Multi-touch Product Display System", The International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2010, Orlando, Florida USA.
3. A. LILAC A. E., "A Dual-Mode Intelligent Shopping Assistant", AISS: Advances in Information Sciences and Service Sciences, Vol. 2, No. 4, pp. 43-54, 2010.
4. H. Muhammad M, P. Victor R, "Consumer Acceptance of RFID Technology: An Exploratory Study", IEEE Transactions on Engineering Management, Vol.55, No.2, 2008, pp. 316-328.
5. P. Yumi and L. Cheon-Pyo, "The Impact of RFID-based Traceability System on Perceived Competitive Advantage in the Food Industry," Proceedings of the 2008 National Decision Sciences Institute (DSI) Conference, Baltimore, MD, November 2008.
6. A. M. Khattak, A. M. Khan, R. Tahir, L. Sungyoung, and L. Young-Koo, "Comparative Analysis of XLMiner and Weka for Association Rule Mining and Clustering", Communications in Computer and Information Science, 2009, Vol. 64, pp. 82-89.
7. R. Agrawal, T. Imielinski, and A. Swami, "Mining Associations between seta of items in Massive Databases". In proc. Of the ACM-SIGMOD Int'l conf. on Management of Data, Washington D.c USA, 1993, pp. 207-216.
8. R. Agrawal, and S. Ramakrishnan, "Fast Algorithms for Mining Association Rules", in proceedings of the 20th VLDB Conference Santiago, Chile, 1994.
9. L. Sea Ling, I. Maria, L. Seng, "RFID-based user profiling of fashion preferences: blueprint for a smart wardrobe", International Journal of Internet Protocol Technology, 2007, Vol. 2, issue 3/4, United Kingdom, pp. 153-164.
10. A. Khattak, A. Khan, S. Lee, Y. Lee, "Analyzing Association Rule Mining and Clustering on Sales Day Data with XLMiner and Weka", International Journal of Database Theory and Application, 2010, Vol. 3, No. 1, pp. 13-22.