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    Article

    RACER: accurate and efficient classification based on rule aggregation approach

    Rule-based classification is one of the most important topics in the field of data mining due to its wide applications. This article presents a novel rule-based classifier called RACER (Rule Aggregating ClassifiE...

    Javad Basiri, Fattaneh Taghiyareh, Heshaam Faili in Neural Computing and Applications (2019)

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    Article

    Solving submodular text processing problems using influence graphs

    Submodular functions appear in a considerable number of important natural language processing problems such as text summarization and dataset selection. Current graph-based approaches to solving such problems ...

    Ali Vardasbi, Heshaam Faili, Masoud Asadpour in Social Network Analysis and Mining (2019)

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    Article

    MLPR: Efficient influence maximization in linear threshold propagation model using linear programming

    Influence maximization is an important research topic in social networks that has different applications such as analyzing spread of rumors, interest, adoption of innovations, and feed ranking. The goal is to ...

    Farzaneh Ghayour-Baghbani, Masoud Asadpour… in Social Network Analysis and Mining (2020)