agent data analysis 中文意思是什麼

agent data analysis 解釋
數據分析代理
  • agent : n 1 行為者，動作者；【語法】主動者。2 原因；動因；作用物，（作用）藥劑。3 代理人，代辦人；代理商...
  • data : n 1 資料，材料〈此詞系 datum 的復數。但 datum 罕用，一般即以 data 作為集合詞，在口語中往往用單數...
  • analysis : n. （pl. -ses ）1. 分解，分析；【數學】解析。2. 梗概，要略。3. 〈美國〉用精神分析法治療（＝ psychoanalysis）。
  1. The azeotropic distillation of the system acetic acid - water - azeotropic agent ( isopropyl acetate and butyl acetate ) is simulated. due to the non - ideal behavior, nrtl - hoc and uniquac - hoc model is used to depict vapor - liquid phase equilibrium behavior of this system. concerning the liquid in the decanter, the stability is checked by tangent plane stability analysis, and the initialization of phase splitting calculation is produced. a good estimate of the phase fration is gotten by successive substitution with newton ' s method, and every component of two phase is gotten by mass equilibrium equation. finally, the solution of this equation is produced with successive substitution calcultion. the naphtali - sandholm method is used to simulation of azeotropic distillation. by virtue of this combined calculation method, the simulation is begun with operational data as basical data. the results of simulation accord with the operating data, which proved that the combined calculation method is credible

    該體系具有高度非理想性，氣液相平衡模型採用nrtl - hoc和uniquac - hoc模型，採用切平面判據法對進入分層器中的液相進行液相穩定性測試，提供液液相分離計算的初值，再結合牛頓拉夫森迭代法運算求得相分割系數，根據物料衡算求出各相組成，循環迭代可求得分層各組分數據，共沸精餾模擬計算採用那夫塔列-山德荷姆全變量迭代演算法。
  2. When the resulting executable is run, tags are sent to a data collection agent that then sends the data to the host application. using this technology, codetest provides performance, coverage, and memory analysis, and a software execution trace capability similar to a logic analyzer

    在構建處理過程中，在不影響原始源代碼的前提下，使用編譯器將插樁標記插入代碼。運行結果執行時，標記被發送至數據收集代理，然後數據被發送至主機應用。採用此技術，
  3. 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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