A Survey on Assorted Approaches to Graph Data Mining

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Graph mining has become a popular area of research in recent years because of its numerous applications in a wide variety of practical fields, including computational biology, sociology, software bug localization, keyword search and computer networking. Different applications result in graphs of different sizes and complexities. Graph mining is an important tool to transform the graphical data into graphical information. The authors investigate recurring patterns in real-world graphs, to gain a deeper understanding of their structure.
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