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Structure mining

Known as: Structured data mining, Tree mining, Graph mining 
Structure mining or structured data mining is the process of finding and extracting useful information from semi-structured data sets. Graph mining… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2013
Review
2013
Advancements in computer and communication technologies demand new perceptions of distributed computing environments and… 
Highly Cited
2010
Highly Cited
2010
The current intrusion detection systems (IDSs) generate a tremendous number of intrusion alerts. In practice, managing and… 
2010
2010
Multi-database mining has been recognized recently as an important and strategically essential area of research in data mining… 
Highly Cited
2008
Highly Cited
2008
In this paper, we introduce the concept of α-orthogonal patterns to mine a representative set of graph patterns. Intuitively, two… 
Highly Cited
2008
Highly Cited
2008
Nowadays data mining plays an important role in decision making. Since many organizations do not possess the in-house expertise… 
Highly Cited
2008
Highly Cited
2008
In this paper, we present a new tree mining algorithm, DryadeParent, based on the hooking principle first introduced in DRYADE… 
Highly Cited
2008
Highly Cited
2008
In this paper, we introduce the concept of α‐orthogonal patterns to mine a representative set of graph patterns. Intuitively, two… 
2006
2006
Knowledge economy requires data mining be more goal-oriented so that more tangible results can be produced. This requirement… 
Highly Cited
2003
Highly Cited
2003
— Multi-database mining is an important research area because (1) there is an urgent need for analyzing data in different sources… 
Highly Cited
1996
Highly Cited
1996
In this work we consider a fuzzy set based approach to the issue of discovery in databases (database mining). The concept of…