industrial-scale r&d it projects depend on many sub-technologies which need to be understood and have their risks analysed before the project can begin for their success. when planning such an industrial-scale project, the list of technologies and the associations of these technologies with each other is often complex and form a network. discovery of this network of technologies is time con...

In this study, we compare three approaches to implement graph algorithms SQL, MapReduce, and GraphChi in terms of performance and cost efficiency. Since MapReduce was introduced, it has been considered as a standard tool to analyze large scale data including graph data. However, we believe that there is a ‘sweet spot’ in which RDBMS can outperform MapReduce. We think that the performance of the...

Graph pattern mining has played important roles in network analysis and information retrieval. However, temporal characteristics of networks have not been estimated sufficiently. We propose time graph pattern mining as a new concept of graph mining reflecting the temporal information of a network. We conduct two case studies of time graph pattern mining: extensively discussed topics on blog sit...

Owing to their versatility, graph structures admit representations of intricate relationships between the separate entities comprising data. We formalise notion connection two vertex sets in terms edge and features by introducing graph-walking programs. give algorithms for mining deterministic programs that yield order increasing length. These characterise linear long-distance given context who...

Big graph mining is an important research area and it has attracted considerable attention. It allows to process, analyze, and extract meaningful information from large amounts of graph data. Big graph mining has been highly motivated not only by the tremendously increasing size of graphs but also by its huge number of applications. Such applications include bioinformatics, chemoinformatics and...

Industrial-Scale R&D IT Projects depend on many sub-technologies which need to be understood and have their risks analysed before the project can begin for their success. When planning such an industrial-scale project, the list of technologies and the associations of these technologies with each other is often complex and form a network. Discovery of this network of technologies is time consumi...

Business process management and business intelligence are fields which gain a lot of attention in recent years. These techniques try to improve not only efficiency of processes but also save considerable cost. Graph based representation of concepts (objects, data) are also used in business domain to support aforementioned techniques. Graph mining methods are successful in many fields for discov...