| dc.creator (作者) | Hua-Fu Li;Suh-Yin Lee;Man-Kwan Shan | en_US |
| dc.creator (作者) | 沈錳坤 | - |
| dc.date (日期) | 2004 | en_US |
| dc.date.accessioned | 9-Jan-2009 16:54:00 (UTC+8) | - |
| dc.date.available | 9-Jan-2009 16:54:00 (UTC+8) | - |
| dc.date.issued (上傳時間) | 9-Jan-2009 16:54:00 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/23930 | - |
| dc.description.abstract (摘要) | Mining user access patterns from a continuous stream of Web-clicks presents new challenges over traditional Web usage mining in a large static Web-click database. Modeling user access patterns as maximal forward references, we present a single-pass algorithm StreamPath for online discovering frequent path traversal patterns from an extended prefix tree-based data structure which stores the compressed and essential information about user`s moving histories in the stream. Theoretical analysis and performance evaluation show that the space requirement of StreamPath is limited to a logarithmic boundary, and the execution time, compared with previous multiple-pass algorithms [2], is fast. | - |
| dc.format | application/pdf | en_US |
| dc.format.extent | 232393 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language | en | en_US |
| dc.language | en-US | en_US |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | World Wide Web Conference | en_US |
| dc.subject (關鍵詞) | algorithms; data mining; data stream mining; path traversal patterns performance; web-click streams | - |
| dc.title (題名) | On Mining Webclick Streams for Path Traversal Patterns | en_US |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1145/1013367.1013497 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1145/1013367.1013497 | en_US |
