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One of the major steps for opinion mining is to extract product features. The vast majority of existing approaches focus on explicit feature identification, few attempts have been made to identify implicit features in reviews, however; people tend to express their opinions with simple structures and brachylogies, which lead to more implicit features in reviews. By analyzing the characteristics of...
Three recent trends aim to make local pattern mining more directly suited for use on data as it presents itself in practice, namely in a multi-relational form and affected by noise. The first of these trends is the generalisation of local pattern syntaxes to approximate, noise-tolerant, variants (notably fault-tolerant itemset mining and community detection). The second of these trends is to develop...
Recent advancements in Information and Communication Technologies (ICT) enable many organizations to collect, store and control massive amount of various types of details of individuals from their regular transactions (credit card, mobile phone, smart meter etc.). While using these wealth of information for Personalized Recommendations provides enormous opportunities for applying data mining (or machine...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.