In this chapter we will discuss measures for the frequency of graph patterns in a single large graph. Defining such a graph measure is a non-trivial task since many natural definitions in the graph transaction setting are non-monotonic in the single-graph setting. Many pattern mining algorithms, however, rely critically on the monotonicity of the support measure for efficient exploration of the search space. Besides imposing a computational burden, a non-monotonic measure also leads to nonintuitive situations where a sub-pattern seemingly occurs less frequently than a larger super-pattern. In our overview, we divide the support measures into two classes: those based on the overlap-graph of the pattern, and the others.status: publishe
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that descr...
This paper investigates the trade-off between the expressiveness of the pattern language and the per...
Mining frequent subgraphs is an important operation on graphs. Most existing work assumes a database...
In this chapter we will discuss measures for the frequency of graph patterns in a single large graph...
Over the last several years, graph mining has emerged as a new field within contemporary data mining...
In recent years, the popularity of graph databases has grown rapidly. This paper focuses on single-g...
Graph support measures are functions measuring how frequently a given subgraph pattern occurs in a g...
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds t...
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds t...
The central task in graph mining is to find subgraphs, called patterns that occur frequently in eith...
Abstract. Graph support measures are functions measuring how fre-quently a given subgraph pattern oc...
In recent years, the popularity of graph datasets has grown rapidly. Frequent subgraph mining (FSM) ...
Over the last decades, the amount of available data has grown rapidly. Data mining is the field stud...
In graph mining, a frequency measure for graphs is anti-monotonic if the frequency of a pattern neve...
Current research on network analysis; such as community detection, pattern mining and many other gra...
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that descr...
This paper investigates the trade-off between the expressiveness of the pattern language and the per...
Mining frequent subgraphs is an important operation on graphs. Most existing work assumes a database...
In this chapter we will discuss measures for the frequency of graph patterns in a single large graph...
Over the last several years, graph mining has emerged as a new field within contemporary data mining...
In recent years, the popularity of graph databases has grown rapidly. This paper focuses on single-g...
Graph support measures are functions measuring how frequently a given subgraph pattern occurs in a g...
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds t...
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds t...
The central task in graph mining is to find subgraphs, called patterns that occur frequently in eith...
Abstract. Graph support measures are functions measuring how fre-quently a given subgraph pattern oc...
In recent years, the popularity of graph datasets has grown rapidly. Frequent subgraph mining (FSM) ...
Over the last decades, the amount of available data has grown rapidly. Data mining is the field stud...
In graph mining, a frequency measure for graphs is anti-monotonic if the frequency of a pattern neve...
Current research on network analysis; such as community detection, pattern mining and many other gra...
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that descr...
This paper investigates the trade-off between the expressiveness of the pattern language and the per...
Mining frequent subgraphs is an important operation on graphs. Most existing work assumes a database...