Scalable and efficient multi-label classification for evolving data streams
نویسندگان
چکیده
منابع مشابه
Efficient Multi-label Classification for Evolving Data Streams
Many real world problems involve data which can be considered as multi-label data streams. Efficient methods exist for multi-label classification in non streaming scenarios. However, learning in evolving streaming scenarios is more challenging, as the learners must be able to adapt to change using limited time and memory. This paper proposes a new experimental framework for studying multi-label...
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As a generalized form of multi-class classification, multilabel classification allows each sample to be associated with multiple labels. This task becomes challenging when the number of labels bulks up, which demands a high efficiency. Many approaches have been proposed to address this problem, among which one of the main ideas is to select a subset of labels which can approximately span the or...
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There are many available methods for generating synthetic data streams. Such methods have been justified by the need to study the efficacy of algorithms on a theoretically infinite stream, and also a lack of real-world data of sufficient size. Although multi-label classification has attracted considerable interest in recent years, most of this work has been carried out in the context of a batch...
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In big data problems mining requires special handling of the problem under investigation to achieve accuracy and speed on the same time. In this research we investigate the multi-label classification problems for better accuracy in a timely fashion. Label dependencies are the biggest influencing factor on performance, directly and indirectly, and is a distinguishing factor for multi-label from ...
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Fuzzy pattern trees (FPT) have recently been introduced as a novel model class for machine learning. In this paper, we consider the problem of learning fuzzy pattern trees for binary classification from data streams. Apart from its practical relevance, this problem is also interesting from a methodological point of view. First, the aspect of efficiency plays an important role in the context of ...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2012
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-012-5279-6