DATA MINING techniques with SAS ENTERPRISE MINER. Sampling, Exporatory Analysis and Association Rules
暫譯: 使用 SAS ENTERPRISE MINER 的資料探勘技術:抽樣、探索性分析與關聯規則
Scientific Books
- 出版商: CreateSpace Independ
- 出版日期: 2015-06-22
- 售價: $1,230
- 貴賓價: 9.5 折 $1,169
- 語言: 英文
- 頁數: 266
- 裝訂: Paperback
- ISBN: 1514646447
- ISBN-13: 9781514646441
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相關分類:
Data-mining
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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 predictive models. 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,本書將專注於使用預測模型。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。這個過程用縮寫 SEMMA 來總結,這是根據 SAS Institute 所定義的資料探勘過程的五個階段的首字母縮寫。