In the recent decade, several technologies have boomed up due to recent development in
many technologies. These technologies have changed the life of human being and are …

Social Network Analysis (SNA) has become a very important and increasingly popular topic
among researchers in recent years especially after emerging Semantic Web and Big Data …

Property-graphs are becoming popular for Intrusion Detection Systems (IDSs) because they
allow to leverage distributed graph processing platforms in order to identify malicious …

A graph is a flexible data structure that can represent relationships between entities. As with
other data analysis tasks, the use of realistic graphs is critical to obtaining valid research …

An interesting class of irregular algorithms is tree traversal algorithms, which repeatedly
traverse various trees to perform efficient computations. Tree traversal algorithms form the …

Graph analysis is now considered as a promising technique to discover useful knowledge
from data. We posit that there are two dimensions of graph analysis: OnLine Graph Analytic …

Scaling-up scientific data analysis and machine learning algorithms for data-driven
discovery is a grand challenge that we face today. Despite the growing need for analysis …

The volume of data is growing at an astonishingly high speed. Traditional techniques for
storing and processing data, such as relational and centralized databases, have become …

The Resource Description Framework (RDF) and SPARQL Protocol and RDF Query
Language (SPARQL) were introduced about a decade ago to enable flexible schema-free …

In this paper, we discuss data-driven discovery challenges of the Big Data era. We observe
that recent innovations in being able to collect, access, organize, integrate, and query …