Data Mining for Co-location Patterns

Guoqing Zhou received his first PhD from Wuhan University, Wuhan, China, in 1994 and his second PhD from Virginia Tech at Blacksburg, Virginia, USA, in 2001. He was a visiting scholar at the Department of Computer Science and Technology, Tsinghua University, Beijing, China, and a postdoctoral researcher at the Institute of Information Science, Beijing Jiaotong University, Beijing, China, from 1994–1996. He continued his research as an Alexander von Humboldt Fellow at the Technical University of Berlin, Berlin, Germany, from 1997–1998 and afterward became a postdoctoral researcher at the Ohio State University, Columbus, OH, USA, from 1998 to 2000. Later he worked at Old Dominion University, Norfolk, VA, USA, as an assistant professor, associate professor, and full professor in 2000, 2005, and 2010, respectively. He is currently professor at the Guilin University of Technology, Guilin, China. He is author of five books and has published more than 300 papers in peer-reviewed journals and conference proceedings.

Chapter 1 Introduction

Chapter 2 Fundamentals of Mining Co-Location Patterns

Chapter 3 Principle of Mining Co-Location Patterns

Chapter 4 Manifold Learning Co-Location Pattern Mining

Chapter 5 Maximal Instance Co-Location Pattern Mining Algorithms

Chapter 6 Negative Co-Location Pattern Mining Algorithms

Chapter 7 Application of Mining Co-Location Patterns in Pavement Management and Rehabilitation

Chapter 8 Application of Mining Co-Location Patterns in Buffer Analysis

Chapter 9 Application of Mining Co-Location Patterns in Remotely Sensed Imagery Classification

Index