Data Mining with SPSS Modeler: Theory, Exercises and Solutions
暫譯: 使用 SPSS Modeler 的資料探勘：理論、練習與解答

Wendler, Tilo, Gröttrup, Sören

Data Mining with SPSS Modeler: Theory, Exercises and Solutions
  • 出版商: Springer
  • 出版日期: 2021-06-25
  • 售價: $5,350
  • 貴賓價: 9.5 折 $5,083
  • 語言: 英文
  • 頁數: 1274
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030543374
  • ISBN-13: 9783030543372
  • 相關分類: SPSS、Data-mining

    • 海外代購書籍(需單獨結帳)

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商品描述

Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice. This revised and updated second edition includes a new chapter on imbalanced data and resampling techniques as well as an extensive case study on the cross-industry standard process for data mining.

商品描述(中文翻譯)

現在是第二版，本教科書介紹了 IBM SPSS Modeler，並指導讀者進行資料探勘過程和相關的統計方法。該書專注於逐步教程和詳細的範例，幫助讀者解開複雜的數學演算法和電腦程式的神秘面紗，還包含各種練習和解答，以及一個附帶的網站，提供資料集和 SPSS Modeler 流程。雖然本書是為學生而設，但 Modeler 的簡單性使得本書對任何希望學習基本和更高級資料探勘並將這些知識付諸實踐的人都非常有用。這一修訂和更新的第二版包括了一個關於不平衡資料和重抽樣技術的新章節，以及一個關於跨行業標準資料探勘過程的廣泛案例研究。

作者簡介

 

Dr. Tilo Wendler is a Professor at the University of Applied Sciences HTW Berlin, Germany. He studied mathematics, physics and business information technology. In his doctoral thesis, he examined determinants of user expectations in using information technology. He is also interested in applying complex statistical methods in the banking sector, especially in the field of rating methods. He has been teaching business statistics and data mining for ten years.

Dr. Sören Gröttrup is a Professor of Machine Learning and Statistics at the Technische Hochschule Ingolstadt, Germany. After studying mathematics and computer science, he was awarded a Ph.D. for his research on stochastic models with biological applications. Alongside his doctoral studies, he worked as a data analyst, analyzing genomic data at a research institute. For many years, he worked as a data scientist in the airline and data-driven marketing business, and advised various companies on digitalization and machine learning projects.

 

 

 

作者簡介(中文翻譯)

蒂洛·溫德勒博士是德國柏林應用科技大學（HTW Berlin）的教授。他學習了數學、物理學和商業資訊科技。在他的博士論文中，他研究了使用資訊科技時用戶期望的決定因素。他也對在銀行業應用複雜統計方法感興趣，特別是在評分方法領域。他已經教授商業統計和資料探勘十年。

索倫·格羅特魯普博士是德國英戈爾施塔特科技大學的機器學習和統計學教授。在學習數學和計算機科學後，他因其在生物應用的隨機模型研究而獲得博士學位。在攻讀博士學位的同時，他擔任數據分析師，分析研究機構的基因組數據。多年來，他在航空公司和數據驅動的行銷業務中擔任數據科學家，並為多家公司提供數位化和機器學習項目的建議。

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