Network analysis is a powerful tool that provides us a fruitful framework to describe
phenomena related to social, technological, and many other real-world complex systems. In …

Accurate prediction of groundwater level (GWL) over a period of time is of great importance
for groundwater resources management. Machine learning techniques due to their great …

CONTEXT: The number of students enrolled in universities at standard and on-line
programming courses is rapidly increasing. This calls for automated evaluation of students …

Linked Open Data (LOD) is an emerging Web technology to store and publish structured
data in the form of interlinked knowledgebases like DBpedia, Freebase, Wikidata, and Yago …

A prominent challenge in our information age is the classification over high frequency data
streams. In this research, we propose an innovative and high-accurate text stream …

Engineering competence and the digitization of all processes along the product
development process are highly decisive for today's success of industrial companies. The …

Recognizing users' daily life activities without disrupting their lifestyle is a key functionality to
enable a broad variety of advanced services for a Smart City, from energy-efficient …

The Word-Graph Sentiment Analysis Method is proposed to identify the sentiment that
expressed in a microblog document using the sequence of the words that contains. The …

This paper proposes a novel algorithm for discovering similar nodes in very large directed
graphs, with millions of nodes with billions of connections, which is based on the fuzzy set …

Mobile crowdsensing (MCS) leverages the participation of active citizens and establishes a
cost-effective sensing infrastructure using their devices. The MCS platform allocates sensing …