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Scientific Transactions in Environment and Technovation

Research

Scientific Transactions in Environment and Technovation, | 0
Year : 2015 | Volume: 1 | Issue: 4 | Pages : 174-177

Floral biology of Rauwolfia micrantha Hook. f.: a rare and endemic
medicinal plant of Western Ghats, India

Abstract :

With increasing demand on the study of large amounts of structured data, graph mining has become an active and important subfield in data mining domain. Frequent subgraph mining, graph classification, graph clustering and graph matching are the common types of graph mining algorithms for graph data. Mining graph data has recently emerged as a promising area in the current research. Software Engineering (SE) graph data is particularly important for the graph data. SE graph data includes static or dynamic call-graphs. Call-graphs are formed from control flow of programs. Software bug localization is one important application of frequent subgraph mining algorithm in which the structure of the call-graph is studied in order to determine and isolate bugs in the program. This paper deals with survey of generic frequent subgraph mining algorithms and a survey of specific graph mining techniques for software bug localization (or bug detection) application and graph mining methodology. A compareson two generic algorithms such as gSpan and CloseGraph with respect to six factors namely graph representation, subgraph generation, algorithmic approach, frequency evaluation, input, and output has also been made. These two algorithms are most relevant for software bug localization.

Keywords:

Graph Mining, Software bug localization, Frequent Subgraph mining, call-graphs

Citation: *,

( 2015), Floral biology of Rauwolfia micrantha Hook. f.: a rare and endemic
medicinal plant of Western Ghats, India. Scientific Transactions in Environment and Technovation, 1(4): 174-177

Mr.Veerapathiran K

Correspondence: A.K. Sreekala


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