Educational Data Mining with R and Rattle

個数:
電子版価格
¥14,754
  • 電子版あり

Educational Data Mining with R and Rattle

  • オンデマンド(OD/POD)版です。キャンセルは承れません。
  • ≪洋書のご注文について≫ 「海外取次在庫あり」「国内在庫僅少」および「国内仕入れ先からお取り寄せいたします」表示の商品でもクリスマス前(12/20~12/25)および年末年始までにお届けできないことがございます。あらかじめご了承ください。

  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版/ページ数 126 p.
  • 言語 ENG
  • 商品コード 9788793379312
  • DDC分類 370.285

Full Description

Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on predicting students' academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing etc.An archetype that is covered in this book is that of learning by example. The intention is that reader will easily be able to replicate the given examples and then adapt them to suit their own needs of teaching-learning. The content of the book is based on the research work undertaken by the authors on the theme "Mining of Educational Data for the Analysis and Prediction of Students' Academic Performance". The basic know-how presented in this book can be treated as guide for educational data mining implementation using R and Rattle open source data mining tools. .Technical topics discussed in the book include:• Emerging Research Directions in Educational Data Mining• Design Aspects and Developmental Framework of the System• Model Development - Building Classifiers• Educational Data Analysis: Clustering Approach

Contents

Foreword Preface Acknowledgment List of Figures List of Tables List of Abbreviations 1 Introduction 2 Emerging Research Directions in Educational Data Mining 3 Design Aspects and Developmental Framework of the System 4 Model Development—Building Classifiers 5 Educational Data Analysis: Clustering Approach 6 Epilogue and Further Directions References Index About the Authors

最近チェックした商品