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Big Data Stream mining has some inherent challenges which are not present in traditional data mining. Not only Big Data Stream receives large volume of data continuously, but also it may have different types of features. Moreover, the concepts and features tend to evolve throughout the stream. Traditional data mining techniques are not sufficient to address these challenges. In our current work, we...
Users' repetitive daily or weekly activities may constitute user profiles. For example, a user's frequent command sequences may represent normative pattern of that user. To find normative patterns over dynamic data streams of unbounded length is challenging. For this, an unsupervised learning approach is proposed in our prior work by exploiting a compressed/quantized dictionary to model common behavior...
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.