Applicable research on SQLServer2005 data mining technology in logistics information systems

Proceedings of the 8th International Conference of Chinese Logistics and Transportation Professionals - Logistics: The Emerging Frontiers of Transportation and Development in China

Volumn , Issue , 2008, Pages 2151-2157

  Cheng, Jia ^a  

^a South West Jiaotong University ^*  (China)

Author keywords

Data mining; Database; Logistics information system; SQL server 2005

Indexed keywords

ASSOCIATION RULE ALGORITHM; BAYESIAN ALGORITHMS; CLUSTER ALGORITHMS; DATA MINING TECHNOLOGY; DATABASE; DATABASE SOFTWARE; KEY ISSUES; LOGISTICS ENTERPRISE; LOGISTICS INFORMATION; LOGISTICS INFORMATION SYSTEM; MICROSOFT; MODERN LOGISTICS; NEURAL NETWORK ALGORITHM; NOVEL METHODS; SQL SERVER 2005; TIME SERIES ALGORITHMS;

ASSOCIATIVE PROCESSING; CLUSTERING ALGORITHMS; COMPUTER APPLICATIONS; DATABASE SYSTEMS; LOGISTICS; TIME SERIES;

INFORMATION SYSTEMS;

EID: 70249084158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40996(330)317     Document Type: Conference Paper

References (4)

1. Tang, Z. H. and Jamie MacLennan,(2006). Data Mining with SQL Server 2005, 10-13.121-122.
2. Han, J. W. and Micheline Kamber,(2001). Data Mining Concept and Technology, 1-95, 185-195.
3. Zhang, Jing. (2003). Method of Decision Tree and Application in Train's Ticket Marketing, 6-18.
4. Zhen, Hong and Liu, Hong and Zhang, J. J. (2001). Relation Theory of Information Stream and Transportation, 7-28.