cleaning web 中文意思是什麼
cleaning web
解釋
清洗捲筒-
For several trade shows we attended and found that fuser film sleeve, cleaning blade, web roller, pcr are always our best - selling products which receives good reputation with its fine quality and favorable price
供應優質激光印表機和復印機的零配件：定影膜，充電輥，清潔紙，清潔刮板。 。 。 -
This thesis includes four parts in which the technologies of web usage mininig are systematically researched. in the first part we summarize the techniques of data mining and web usage mining, present the significance of the research on web usage mininig, the status of research and the problem which web usage mininig will face with. in the second part we discuss the web usage mininig according to the process of web mining. in the stage of data preparing and preprocessing we discuss the algorithm of data cleaning, user and session identification in detail, and present a data model of association rules and sequential patterns in the stage of pattern discovery, discuss the useful method of pattern analysis in last stage. a synthesis clustering algorithm cppc is proposed in the third part of this thesis
本文分主要從以下四個方面對web使用挖掘進行了系統的分析和研究。第一是對數據挖掘和web挖掘進行了概述，闡述了web挖掘的意義、研究的現狀、面臨的問題。第二是討論了web使用挖掘的三個階段：在數據準備和預處理階段重點討論了數據清洗及用戶和會話識別演算法；在模式發現階段定義了關聯規則和序列模式的數據模型；模式分析階段則討論了現行的幾種分析方法。 -
We are manufacturer and exporter of laser printer copier accessories, the primary products are fuser film sleeve, pcr, cleaning web roller, blade etc. our products are sold very well in many countries because of the high quality and reasonable price. all the materials are imported from japan. the quality can match oem
主要經營的產品有進口的hp全系列定影膜hp1000 1010 5l 2200 4000 5000 5100等等，以及canon數碼復印機定影膜ir3300 2800 2200 fc290 280 200和canon - gp215數碼復印機定影膜充電輥印表機復印機清潔刮板印表機復印機搓紙輪充電膜套擋粉片粉瓶燈管等五十多種oa耗材配件以及裝粉機離心機精密擠出設備吹瓶設備精密澆注機搓紙輪專用設備等。 -
This essay first dicussed the key steps of preprocessing in web log mining, which include data abstract, data cleaning, user and session identification and path completion etc. especialy we proposed the algorithm of the web log data preprocessing include frame page. and secondly we discussed the technology of building an adaptive web site, include log data cluster mining, user visiting pattern learning, site structure transformation and presentation etc. ; and we proposed indual user log visiting pattern, user model onling learning algorithm, index pages synthesising algorithm, site structure transformation and presentation algorithm and so on
本論文首先討論了web日誌挖掘預處理中的各步驟：數據抽象、數據清洗、用戶與會話識別、訪問路徑補全，給出了每一步驟的演算法實現；並特別討論了含有frame頁的日誌數據預處理過濾演算法。其次討論了構建自適應站點技術，包括日誌數據聚類挖掘、用戶訪問模式學習、站點結構轉化與呈現等；提出了單用戶日誌訪問模型，給出了用戶模型在線學習演算法、索引頁面綜合演算法、站點結構轉化及呈現演算法等。 -
This paper divides the web usage mining process into three main parts : data collecting consists of the three server logs - access, referer, and agent, the html files the make up the site, and registration data ; data preprocessing, includes data cleaning, user identification, session identification, path completion and transaction identification ; data analysis consists of mining frequent access paths and association rule. thinking about the amount of hits on homepage, this paper improves the algorithm of finding frequent items
並結合網頁特點，考慮到主頁的點擊率的影響，對生成頻繁訪問瀏覽頁的演算法做了改進；在web使用挖掘的基礎上引入部分web結構挖掘，對挖掘瀏覽頁的關聯規則做了補充，在web結構挖掘基礎上挖掘出的相關瀏覽頁也推薦給用戶，在一定程度上提高了關聯規則的精確度。
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