A PERFORMANCE OF MACHINE LEARNING ALGORITHM
A PERFORMANCE OF MACHINE LEARNING ALGORITHM
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发表时间：
2014
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通讯作者：
J. Sharmila;A. Subramani
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作者：
J. Sharmila;A. Subramani
机器学习是人工智能的一个分支，涉及构建和研究可以从数据中学习的系统。它专注于基于从训练数据中学到的已知属性的预测。数据挖掘的重点是发现数据的未知属性。机器学习还采用数据挖掘方法作为无监督学习或作为预处理步骤来提高学习者的准确性。机器学习算法的性能通常根据重现已知知识的能力来评估，而知识发现和数据挖掘（KDD）的关键任务是发现先前未知的知识。根据已知知识进行评估，无信息（无监督）方法很容易被有监督方法超越，而在典型的 KDD 任务中，由于缺乏训练数据，无法使用有监督方法......
Machine learning, a branch of Artificial Intelligence is about the construction and study of systems that can learn from data. It focuses on prediction, based on known properties learned from the training data. Data mining focuses on the discovery of unknown properties on the data. The Machine learning also employs data mining methods as unsupervised learning or as a preprocessing step to improve learner accuracy. The performance of Machine Learning Algorithm is usually evaluated with respect to the ability to reproduce known knowledge, while in Knowledge Discovery and Data Mining (KDD) the key task is the discovery of previously unknown knowledge. Evaluated with respect to known knowledge, an uninformed (unsupervised) method will easily be outperformed by supervised methods, while in a typical KDD task, supervised methods cannot be used due to the unavailability of training data...