Survey on Graph Pattern Mining Approach

  Jignesh Patel,  Bhavesh A. Oza

Aim of Data Mining is to extract significant and Useful knowledge from the Data. Data Stored in the database may be any type such as text, images and videos so on. Due to increasing the size of the data and storing such data is becoming complex. Data mining algorithms are facing the challenges for storing such data. Graph become more important in storing and visualizing this complicated data (i.e. chemical datasets, biological dataset, XML datasets, Social networks datasets, the web datasets etc.) In this paper it is discussed about different Algorithm used for Graph Mining and different techniques used for Graph Mining.

Keywords- Graph Mining, Graph Mining Algorithms, Graph Theory based Approach, Greedy Approach, Inductive Logic Programming, Frequent Pattern Growth, Apriori based Approach

Unique Identification Number - IJEDR1401030
Page Number(s) - 176-180
Pubished in - Volume 2 | Issue 1 | March 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Jignesh Patel,  Bhavesh A. Oza,   "Survey on Graph Pattern Mining Approach", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 1, pp.176-180, March 2014, Available at :http://www.ijedr.org/papers/IJEDR1401030.pdf