site cleaning 中文意思是什麼

site cleaning 解釋
工地清理
  • site : n 1 地點；位置；地基。2 場所，現場。3 遺址。4 【計算機】網站，站點〈電腦網路用戶的網站地址〉；萬...
  • cleaning : n 1 清潔法；掃除；清洗，洗滌；（種子的）清選。2 〈常 pl 〉（牛、羊等的）胞衣。3 【林業】除伐。4 ...
  1. Indoor pool, high - speed internet access, sauna, whirlpool, 24 hour front desk, 24 hour room service, a c public areas, baby - sitting, beauty salon, cash machine, concierge services, dry cleaning laundry, express check - in check - out, foreign currency exchange, gift shop, newsstand, on - site guest laundry facilities, porter bellman, public transportation within walking distance, safety deposit box, secretarial services, shoe shine, turndown service, wake up calls, copying service, courier service, e - mail internet service, executive floors, executive rooms, facsimile service, full business center, pc service, printer service, private limousine service

    飯店擁有265間設備完善的客房包括商務套房和行政貴賓套房192間標準客房， 32間高級客房， 8間商務套房， 4層行政貴賓樓層， 33間客房包括商務套房和行政貴賓套房，同時提供無吸煙樓層的房間，所有客房設有國際國內直撥電話，國際衛生電視。飯店配有中餐粵菜廳咖啡廳風味餐廳供應亞洲風味菜肴，大堂酒廊提供飲料和小食，提供24小時送餐服務。
  2. Offers information about model trains. the site has sections about cleaning, smoking, buying and frequently asked questions

    -靜態模擬動態遙控模型，飛機坦克直升機汽車艦船模型。
  3. Restaurants & bars, 24 - hour casino, laundry & dry cleaning, secretarial service, on site car parking & valet service, shuttle bus service, limousine service, tour & travel desk

    餐飲設施、 24小時營業的娛樂場、洗熨服務、秘書服務、停車場及代客泊車服務、酒店巴士穿梭接載、豪華房車接送服務、旅遊及觀光服務櫃臺。
  4. 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。
  5. According to each site ' s differences, the cleaning procedure is individually formed

    根據各現場的工作需要，制定相關的保潔程序。
  6. 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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