Distributed Data Mining System for Tourism Industry

被引:0
|
作者
Danubianu, M. [1 ]
Socaciu, T. [2 ]
Amariei, D. [3 ]
机构
[1] Stefan Cel Mare Univ Suceava, Fac Elect Engn & Comp Sci, Suceava, Romania
[2] Stefan Cel Mare Univ Suceava, Fac Econ Sci & Publ Adm, Suceava, Romania
[3] Eftimie Murgu Univ Resita, Ctr Adv Res Design & Technol, Resita 320085, Romania
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
M. Danubianu, T. Socaciu, D. Amariei. Distributed Data Mining System for Tourism Industry // Electronics and Electrical Engineering. - Kaunas: Technologija, 2010.- No. 3(99) - P. 31-34. Romania has a huge tourist's potential, but currently it is too little valued and exploited. As a result, one of the strategic developments of the economy aimed the tourism industry. The strategic decisions are based on different trends obtained from sophisticated analysis of data. Data mining helps businesses sift through layers of seemingly unrelated data for meaningful relationships, where they can anticipate, rather than simply react to, environment challenges. Two types of data mining systems are presented, considering that data are processed from distributed databases. III. 4, bibl. 9 (in English; summaries in English, Russian and Lithuanian).
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页码:31 / 34
页数:4
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