classification records 中文意思是什麼

classification records 解釋
入級記錄
  • classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
  • records : 記錄/唱片
  1. In this thesis, based on activity based classification, there are three subjects to be researched, that is, how to build and express cost caculation rules, how to support many caculation methods and how to support more quick and accurate cost caculation. moreover, this thesis lucubrates a flexible cost cacaulation model. this model bases on advanced cost theory - - activity based classification, and it includes the building of abc ' s cost caculation model, the receptions " automatical accumulattion and transformation rules, the storage and use motivating causes rules, the diverse cost distribution and supporting many cost caculation methods. besides, the model brings forward rules about cost information transformation and accumulattion, rules about keeping business records, rules about motivating causes ’ accumulattion, rules about cost distribution and formula language. what ’ s more, it builds a rule engine, and all of these make this model meet enterprises ’ demand for using many cost caculation methods, and then simplify operators ’ operation. also, it can realize cost accumulated more accuratly, keeping business records more promptly and cost analysed more intensively, and then give supports to enterprises ’ further decision with related data. in the third chapter, it expounds the design and realization of this flexible cost cacaulation management system, and use one model case to validate its legitimacy, which explains that with j2ee technology and mvc design pattern, this system has good features of reuse and adaptability. at last, it introduces its application in china resource alcohol co., ltd

    本文以作業成本法為理論基點，圍繞著如何建立成本核算規則並給予表達、如何支持多種成本核算方法以及如何提供更為快捷、精確的成本核算等三大主題展開深入的研究，並建立了多適應性成本核算模型。該模型以先進的成本核算方法作業成本法為理論基礎，涵蓋了從作業成本核算模型的建立到成本單據自動歸集轉換等規則的提取，從動因量存儲使用等規則的建立到成本多樣化分配以及支持多種成本計算方法等全部內容。在對成本核算規則進行分析和表達的基礎上，該模型提出了基於作業成本法的成本信息轉換存儲規則、記賬規則、動因量歸集規則、分配規則以及計算公式語言，並建立了基於這些規則的規則引擎，從而使得該模型能夠滿足企業多種成本計算方法的需求，簡化了企業人員的操作過程，並且實現了更為準確的成本歸集，更為迅速的成本制單，以及更為細化的成本分析，為企業的進一步決策提供了有力的數據支持。
  2. Records classification and indexing system

    檔案分類和索引系統
  3. The value orientation of the editing order of han dynasty ? yiwen records is not only reflected from the classification of its general aim but also that of the sub - aim

    《漢志》編次的價值取向，不僅體現在對圖書總目的分類上，也體現在子目的分類上。
  4. Normal behavior and anomaly are distinguished on the basis of observed datum such as network flows and audit records of host. when a training sample set is unlabelled and unbalanced, attack detection is treated as outlier detection or density estimation of samples and one - class svm of hypersphere can be utilized to solve it. when a training sample set is labelled and unbalanced so that the class with small size will reach a much high error rate of classification, a weighted svm algorithm, i

    針對訓練樣本是未標定的不均衡數據集的情況，把攻擊檢測問題視為一個孤立點發現或樣本密度估計問題，採用了超球面上的one - classsvm演算法來處理這類問題;針對有標定的不均衡數據集對于數目較少的那類樣本分類錯誤率較高的情況，引入了加權svm演算法-雙v - svm演算法來進行異常檢測;進一步，基於1998darpa入侵檢測評估數據源，把兩分類svm演算法推廣至多分類svm演算法，並做了多分類svm演算法性能比較實驗。
  5. In the fourth section of the thesis, the method that constructing statistical features based - on time for connection records and using these features to construct classification models were studied in detail. in order to improve the accuracy of classification model and decrease the rate of false positive, some factors that may have bad influence on accuracy of classification model were analyzed and the method of selecting appropriate set of features was also provided

    論文的第四部分，詳細研究了使用網路連接記錄的基本特徵屬性構建基於時間的統計特徵屬性方法，通過選擇適當的特徵屬性集來提高異常檢測模型的分類精度，降低誤報率；同時分析了影響檢測模型分類精度的因素；對不同實驗條件下得到的實驗結果進行了比較和分析。
  6. Method : patient records were collected inform the emergency department of a medical center over the course of approximately one year and a decision tree was used to classify patient data based on the magnitude of medical expenses incurred ( i. e., lower, average, or higher ) ; in the future, we will be able to predict the potential medical expenditures of emergency department patients according to such a classification

    方法：本研究收集某醫學中心急診室一年之病患就診資料，並利用資料探勘技術中之決策樹工具來觀察各醫療費用群（低費用組、一般費用組、高費用組）間之病患特質（人口學特質、就醫屬性）的分類；藉由分類規則的建立，可預測病人于就診時可能消耗之醫療費用多寡。
  7. Methods : by applying case classification software and sas6. 12 statistic software, 4. 6 million medical records in the past 3 years in 100 different hospitals were analyzed

    方法：應用病例分型軟體和sas6 . 12統計軟體包，對100所不同規模醫院3年160萬份病例資料進行統計分析。
分享友人
分享到 Line

分享到臉書