Relational Data Clustering

丛 书 名：Chapman and Hall/CRC Data Mining and Knowledge Discovery Ser.

版本说明：1

作     者：Bo Long Zhongfei Zhang Philip S. Yu 

I S B N：(纸本) 9781420072617 

出 版 社：CRC Press LLC 

出 版 年：2010年

页      数：214页

主 题 词：Cluster analysis Relational databases Data mining 

学科分类：02[经济学] 07[理学] 08[工学] 070103[理学-概率论与数理统计] 0810[工学-信息与通信工程] 0202[经济学-应用经济学] 020208[经济学-统计学] 081203[工学-计算机应用技术] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 020201[经济学-国民经济学] 0835[工学-软件工程] 0714[理学-统计学（可授理学、经济学学位）] 081002[工学-信号与信息处理] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081202[工学-计算机软件与理论] 

摘      要：A culmination of the authors years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world problems. After defining the field, the book introduces different types of model formulations for relational data clustering, presents various algorithms for the corresponding models, and demonstrates applications of the models and algorithms through extensive experimental results. The authors cover six topics of relational data clustering: Clustering on bi-type heterogeneous relational data Multi-type heterogeneous relational data Homogeneous relational data clustering Clustering on the most general case of relational data Individual relational clustering framework Recent research on evolutionary clustering This book focuses on both practical algorithm derivation and theoretical framework construction for relational data clustering. It provides a complete, self-contained introduction to advances in the field.