Regression Models and Decision Trees with SAS ENTERPRISE MINER
暫譯: 使用 SAS ENTERPRISE MINER 的迴歸模型與決策樹
Scientific Books
- 出版商: CreateSpace Independ
- 出版日期: 2015-06-22
- 售價: $1,220
- 貴賓價: 9.5 折 $1,159
- 語言: 英文
- 頁數: 188
- 裝訂: Paperback
- ISBN: 1514651475
- ISBN-13: 9781514651476
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商品描述
SAS Institute implements data mining in Enterprise Miner software, which will be used in this book focused in Sampling Tecniques, Exploratory Analysis and Association Rules. SAS Institute defines the concept of Data Mining as the process of selecting (Selecting), explore (Exploring), modify (Modifying), modeling (Modeling) and rating (Assessment) large amounts of data with the aim of uncovering unknown patterns which can be used as a comparative advantage with respect to competitors. This process is summarized with the acronym SEMMA which are the initials of the 5 phases which comprise the process of Data Mining according to SAS Institute.
商品描述(中文翻譯)
SAS Institute 在其 Enterprise Miner 軟體中實現了資料探勘,本書將專注於抽樣技術、探索性分析和關聯規則。SAS Institute 將資料探勘的概念定義為選擇(Selecting)、探索(Exploring)、修改(Modifying)、建模(Modeling)和評估(Assessment)大量資料的過程,目的是揭示未知的模式,這些模式可以作為相對於競爭對手的比較優勢。根據 SAS Institute,這一過程用縮寫 SEMMA 來總結,該縮寫代表了資料探勘過程中包含的五個階段的首字母。