… out in the integrated data and process graph and to assist users by … graph-based model
for sharing and mining scenarios. In Section 6, we introduce a data dependency-based mining …

… In particular we discuss graph database systems and their main graph data models,
namely the resource description framework [63] and the property graph model [93] (Sect. 2). …

… Graph analytics can be divided into three parts – graph data management, graph modeling,
and graph mining. In this section, fundamentals of each of the three parts are discussed in …

… to investigate the potential of graph data and graph mining techniques in the building field.
A graph-based methodology is proposed to analyze building operational data. It consists of …

… data processing steps, for example, to restrict the search space or to filter the result. We
demonstrate graph mining … lytical programs composed from multiple graph operations. We use a …

… In this section we look at how the large graph data processing has been conducted and …
techniques have been applied for HPC graph data mining. 2.1 HPC Graph Data Processing …

… ideas from the discipline of graph theory in mathematics. A graph data structure is made
up … graphs or an unordered pair set for undirected graphs of these vertices. On a directed …

… However, if we take the analogy from data mining techniques, it is need to think about
preprocess technique to guarantee the quality of graph data, so with a good graph data input, it is …

… /amplified during the mining process. The unique challenges of enforcing fairness on
graph mining include (1) theoretical challenge on non-IID nature of graph data, which may …

… graph data, the concept of graph mining was introduced [150]. Structure of data can be
represented with a graph by considering the relationship among variables in the data. In the last …