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With the spreading prevalence of Big Data, many advances have recently been made in this field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction over the past decades and have become massively popular, especially in industries. It is becoming increasingly evident that effective big data analysis is key to solving artificial intelligence problems. Thus, a multi-algorithm...
Static Graphs consist of a fixed sequence of nodes and edges which does not change over time, hence lack in providing the information regarding evolution of the network. In contrast, Dynamic Graphs to a greater extent relate to real-life events and so provide complete information about the network evolution. That is why many researchers [1, 2, 3, 5, 6, 7, 8, 9 and 10] have developed interest in mining...
Mining of regular patterns in dynamic networks finds immense application in characterizing the local properties of the networks, like behaviour (friendship relation), event occurrence (football matches). They in then are used to predict their future trends. But if they do not entail weight and direction aspects of the dynamic network, there can be loss of several significant details, such as strength...
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