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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/52357

    Title: 以關鍵字序列型樣探勘為基礎之文件檢索方法
    Other Titles: Document retrieval based on mining keywords sequential patterns
    Authors: 吳建興;Wu, Chien-hsin
    Contributors: 淡江大學資訊工程學系碩士班
    林丕靜;Lin, Nancy P.,
    Keywords: 資訊檢索;資料探勘;序列型樣;Information Retrieval;data mining;Sequential patterns
    Date: 2010
    Issue Date: 2010-09-23 17:34:23 (UTC+8)
    Abstract: 在這個資訊爆炸的時代,網路使用者透過現今的資訊搜索功能,多半能迅速檢索到大量的相關資訊,但很可能因為精確度欠佳及各種影響檢索系統判別的因素之存在,而使得使用者經常檢索出過多的資訊,而這些資訊又往往與使用者的期待相距甚遠,雖然能夠在一時之間搜尋整理出大量的相關資訊,但卻無法精準地達到其資料搜尋應有的效率。本研究為了謀求這個問題的解決方法,是以『以關鍵字序列型樣探勘為基礎之文件檢索方法』研究的目的與主題。
    In this age of information explosion, internet users through today''s information-search feature, most quickly retrieved a large number of relevant information, but in all probability due to the poor and various impacts retrieval system discrimination factors exist, making users usually retrieved too much information. This study to the problem, is to “Document retrieval based on mining keywords sequential patterns” to purpose and solve in the topic.
    This information is often related to a user''s expectations far cry, although to be able to put together all of a sudden to search for a great deal of information, but it still cannot really reaches its data to search for the necessary efficiency.
    First, the study use keywords which user’s key in Successively select that not match the web site and decrease result. And using sequential patterns mining to strengthen and guess user what they want documents, according to this result to calculate the rank, speeding up looking for documents by user.The experiment shows, and most research sites the comparison is retrieved as a result, this method can be retrieved more simple and correct information.
    Appears in Collections:[資訊工程學系暨研究所] 學位論文

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