Transactional frequent subgraph mining identifies frequent structural patterns in a collection
of graphs. This research problem has wide applicability and increasingly requires higher …

Mapping computational intensive applications on reconfigurable technology for acceleration
requires two main implementation parts:(a) the data plane, ie, efficient interconnected units …

Knowledge mining from graph data has attracted many researchers over the past several
years. With the evolution of internet, computer technology, social networking sites, and web …

In this paper, we study the design and implementation of a reconfigurable architecture for
graph processing algorithms. The architecture uses a message-passing model targeting …

Frequent subgraph mining (FSM) is a subsection of graph mining domain which is
extensively used for graph classification and graph clustering purposes. Over the past …

This paper presents DARSA, a Dataflow Application Resource and Sub-graph Analysis tool.
DARSA can be used for early and accurate results for design space exploration of dataflow …

Data mining is the process of extracting information from huge sets of data. Data mining is
also known as Knowledge Discovery in Database (KDD). Data mining is highly useful in the …

Ontologies are metadata describing properties of a domain, instance data and relationships
between properties, developed for many different purposes. But, they can be different names …

Frequent subgraph mining (FSM) is a subset of the graph mining domain that is extensively
used for graph classification and clustering. Over the past decade, many efficient FSM …

ÖZ Sık alt çizge madenciliği (SAÇM), çizge sınıflandırma ve çizge kümeleme için yaygın
olarak kullanılan bir çizge madenciliği alt türüdür. Son on yılda, birçok verimli SAÇM …