Document retrieval based on mining keywords sequential patterns

• Main Authors: Chien-Hsin Wu, 吳建興
• Other Authors: Nancy P, Lin
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/24612895699444367999

碩士 === 淡江大學 === 資訊工程學系碩士班 === 98 === 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.