大型非结构化数据集概率信息提取新方法的综合评价

2015 International Conference on Intelligent Networking and Collaborative Systems Pub Date : 2015-09-02 DOI:10.1109/INCoS.2015.36

M. Trovati

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引用次数: 0

摘要

在本文中，我们通过考虑[1]-[3]中引入的三个不同的数据集，讨论了[1]中介绍的概率提取的评估。结果表明了该方法的潜力，以及它在分析具有不同性质和结构的数据集时的可靠性和效率。这是正在进行的研究的一部分，旨在提供一种工具来提取、评估和可视化从大型非结构化数据集中提取的智能。

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A Comprehensive Evaluation of a Novel Approach to Probabilistic Information Extraction from Large Unstructured Datasets

In this paper, we discuss the evaluation of the probabilistic extraction as introduced in [1], by considering three different datasets introduced in [1] - [3]. the results show the potential of the approach, as well as its reliability and efficiency when analyzing datasets with different properties and structures. This is part of ongoing research aiming to provide a tool to extract, assess and visualize intelligence extracted from large unstructured datasets.

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2015 International Conference on Intelligent Networking and Collaborative Systems

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