irrelevant data 中文意思是什麼
irrelevant data
解釋
不恰當的資料- irrelevant : adj. 1. 不恰當的；（與…）無關系的；不相干的 （to）, 不對題的。2. 缺乏時代性的，落後于潮流的。adv. -ly
- 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...
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Feature selection, as a preprocessing step to data mining, is effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility
屬性選擇作為數據挖掘過程中的一個重要步驟可以有效地降低特徵維度，去除不相關屬性，提高模型準確率以及增加模型的可解釋程度。 -
However, their raw interfaces are often anything but friendly, supplying and demanding data that is often irrelevant to a particular user s needs
然而，它們的原始介面常常不夠友好，提供和要求的數據常常與特定用戶的需求不相關。 -
Irrelevant or meaningless data generated by a computer along with desired data
無用數據計算機產生的與所需數據不相干或無意義的數據 -
But a significant part of the data will be irrelevant to the question, so in practice this means that information is usually buried under irrelevant data and therefore almost inaccessible
但是有很大一部份的資料將會與問題毫無干係，因此在實用上這代表：信息通常被湮沒在不相干的資料中，因而幾乎是無法取得的。 -
Interest management has mainly two goals, one is reduction of irrelevant data to flow to additional simulation nodes and network bandwidths to consume, the other is to cut down the consumption of performing data filtering in receiving simulation nodes
興趣管理的目的主要有兩個：一是盡可能減少不相關數據在模擬站點之間的流動，減少網路帶寬的佔用；二是降低模擬節點接收冗餘數據時引起的處理開銷。 -
In the data preprocessing stage, we study the theory and technology of feature selection. an algorithm which combines filter method and wrapper method whom both used in the feature selection is proposed. the algorithm can decrease data dimensions by removing irrelevant features, increase algorithm accuracy and speed up the knowledge discovery process
針對知識發現過程的預處理問題，研究了屬性選擇的理論和技術，提出了一種利用信息理論和概率論，結合了屬性選擇過濾法和打包法的屬性選擇演算法，通過去除屬性集中的不相關屬性，降低數據維數，減少數據量，從而提高數據挖掘的精度，加快知識發現的過程。 -
This concise template outputs only the data needed for an order history view, and not the irrelevant stuff such as each item s description
這個簡潔的模板只輸出訂單歷史視圖需要的數據，不輸出不相關的資料（例如商品說明） 。
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