Graphical Models: Representations for Learning, Reasoning and Data Mining, 2/e (Hardcover)

Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of Graphical Models is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of distributions, and applications relating to graphical models and problems for further research.

圖形模型在應用統計學中越來越重要，尤其在數據挖掘領域。這本第二版的《圖形模型》提供了一個自包含的介紹和概述，關於如何從數據中學習關聯、概率和可能性網絡。這本書已經全面更新，包括了這個新興領域的最新研究，還新增了一章關於可視化的內容。本書為研究生和研究人員提供了所有必要的背景材料，包括不確定性建模、分布分解、分布的圖形表示，以及與圖形模型相關的應用和進一步研究的問題。