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Research On Intersectional Leading Industry Based On Data Mining

Posted on:2007-12-10Degree:MasterType:Thesis
Country:ChinaCandidate:W J XuFull Text:PDF
GTID:2189360212980612Subject:Business management
Abstract/Summary:PDF Full Text Request
When China enters the WTO, Chinese economy melts more into world of competition structure and become a part of the global economy. At the same time the economic industry cooperation of local areas also got everyone's attention, the industry interaction of the areas is also closer. Various economic cooperation areas that across the simple district also been established. How to face this kind of cross over the administration to belong to the relation, depending on the industry cooperation of the parallel district of economic contact, developing the aggressive of each district which participate the cooperation, slicing the solid exaltation cooperation efficiency, to attain double win of each district then became important topic of economic research in current district.The leading industry has the important function that can't act for in the economic frame system of a district. To" take-off" the economy must depend on it. Base on the economy interaction and the industry economic theory, choosing the leading industries of the area is the most important task of Area Development. Through imbalance growth theory of area cooperation economic, this thesis discuss the function of the leading industry in industry system, and analysis the intersectional leading industry's vital meaning and important effect in intersectional industry economic connection. This thesis applies data mining's method and model in the intersectional leading industry's selection process. Data mining has the advantage which can mine the cryptic, non-founded knowledge and rules which are valuable to the decision. And this overcomes the previous research method's disadvantage which can not make the deep analysis on the data. This thesis using data mining explores innovatively about the intersectional leading industry selection method and discusses the data pretreatment, index system and arithmetic research in data mining. This thesis takes Changjiang Delta as an example, and gives intersectional leading industry selection result of it. Based on that, put forward the suggestions about Changjiang Delta leading industries development. I hope that there can be some direction function to the development of Changjiang Delta intersectional economic.
Keywords/Search Tags:Leading Industry, Intersectional economy relevancy, Data mining
PDF Full Text Request
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