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Design Algorithm Of China Logistics Center Manage Information System

Posted on:2007-11-05Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhaoFull Text:PDF
GTID:2178360182980087Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
After our country joined the WTO organization, the economic developed very fast.The logistics field also developed very fast. In order to our country's logicstics field infast increases long-term, China logistics center original manual retrieval way alreadycan not suit economic development. So it needs to develop a manage informationsystem to increase the working efficiency. At the same time, along with the Internetdevelopment, it became share place of the global information. How to obtained theeffective information, How to obtains the information which we need? They are veryimportant for my developing manage information system.At present, the information retrieval already developed the network and theintellectualized. The information retrieval object from the relative seal to the openingWeb content. The information retrieval user also changed. Adapt network,intellectualized and individuality are information retrieval technological developmentnew aspect. The main retrieval hot spot concentrates in the knowledge excavation, theisomerism information conformity retrieval, the total information retrieval.According to China logistics center's demand, we to know that, the staff needs toretrieve large information from the database. So they can encounter some questionsfor large data and retrieval precision. How to enhance the retrieval speed and accuracy?We need pay attention to it. At same time, how to use large internet resources toexpand the literature information database? We also need pay attention it.We major work was discussed some algorithms to enhance the manageinformation system's efficiency on theory. We studied some Robot retrievalalgorithms, classified algorithms and cluster algorithms. We modified them for themanage information system and apply to China logistics center information retrievalsystem.
Keywords/Search Tags:Robot, K-means, Clustering Algorithm, Chinese Phrase
PDF Full Text Request
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