Managing and Mining Graph Data ADVANCES IN DATABASE SYSTEMS
نویسندگان
چکیده
Graph mining and management has become an important topic of research re-cently because of numerous applications to a wide variety of data mining prob-lems in computational biology, chemical data analysis, drug discovery and com-munication networking. Traditional data mining and management algorithmssuch as clustering, classification, frequent pattern mining and indexing have nowbeen extended to the graph scenario. This book contains a number of chapterswhich are carefully chosen in order to discuss the broad research issues in graphmanagement and mining. In addition, a number of important applications ofgraph mining are also covered in the book. The purpose of this chapter is toprovide an overview of the different kinds of graph processing and mining tech-niques, and the coverage of these topics in this book.
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