This study proposes the optimization method of the associative knowledge graph using TF-
IDF based ranking scores. The proposed method calculates TF-IDF weights in all documents …

This paper presents a causation analysis model for traffic accident. Traffic accident is a result
influenced by the interaction of various factors. Considering the characteristic of multi …

Complex Networks can depict a clear image of real-world systems. A real-world scenario
can be represented a graph with interconnected layers-called a multilayer network. Finding …

Neural network is one among the foremost powerful predictive analytics techniques. This
paper considers a wide range of neural network topologies, followed by an examination of …

Community detection has become a popular topic in the field of network analysis and one of
the most popular methods is spectral clustering. There have been a number of proposals …

Modelling multiple documents for different applications is a major field of research due to the
tremendous growth in Web data. To find the document similarity, we require clustering to …

Recently, Multi-Graph Learning was proposed as the extension of Multi-Instance Learning
and has achieved some successes. However, to the best of our knowledge, currently, there …

Nowadays, an increasing number of colleges have built information systems to manage
masses of educational data, but actually most data is in an idle state and fails to create any …

In most of the user applications today, the web has become a fundamental information
resource. Mining the graph structural data from a complex source is a difficult process and in …

This special issue is a selected collection of papers submitted to the Second International
Symposium on Intelligent Systems Technologies and Applications (ISTA'16), September 21 …