Association Rule Mining in Social Network Data
作者： Naeem A. Mahoto , Anoud Shaikh , Shahzad Nizamani
DOI: 10.1007/978-3-319-10987-9_14
关键词:
摘要: The use of social networks has significantly altered the way life online community since last decade. user-generated contents help to investigate various aspects communities. This paper presents an approach extracting associations between and contextual features network data. aim is discover hidden correlations among posted on networking website, detect trends users. proposed uses association rule mining technique uncover build taxonomy based their corresponding relationships deeply analyse data contents. obtained results show efficiency framework in rules analysing behaviours
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sci-hub.se 参考文章(25)
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