منابع مشابه
Developing Decision Trees for Handling Uncertain Data
Classification is one of the most efficient and widely used data mining technique. In classification, Decision trees can handle high dimensional data, and their representation is intuitive and generally easy to assimilate by humans. Decision trees handle the data whose values are certain. We extend such classifiers i.e, decision trees to handle uncertain information. Value uncertainty arises in...
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Classification is a classical problem in machine learning and data mining. In traditional decision tree classification, a feature of a tuple is either categorical or numerical. The decision tree algorithms are used for classify the certain and numerical data for many applications. In existing system they implement the extended the model of decision tree classification to accommodate data tuple ...
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Decision tree is powerful and popular tool for classification and prediction in uncertainty data. This study proposes a decision tree based classification system for uncertain data. The uncertain data means lack of certainty. Data uncertainty comes by different parameters including sensor error, network latency measurements precision limitation and multiple repeated measurements.It is found tha...
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Traditionally, decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information. Value uncertainty arises in many applications during the data collection process. Example sources of uncertainty include measurement/quantization errors, data staleness, and multiple repeated measurements. With uncertainty, the value o...
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Decision Tree is a widely used data classification technique. This paper proposes a decision tree based classification method on uncertain data. Data uncertainty is common in emerging applications, such as sensor networks, moving object databases, medical and biological bases. Data uncertainty can be caused by various factors including measurements precision limitation, outdated sources, sensor...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2011
ISSN: 1041-4347
DOI: 10.1109/tkde.2009.175