EFFICIENT MACHINE LEARNING METHODS FOR BIG DATA ANALYTICS

目前，大数据在科学和工业中发挥着关键作用。大数据涉及来自多个来源的大量复杂且不断增长的数据集。人们越来越需要能够探索大量数据并为未来行动提取有用信息或知识的方法。目前可获得的大量数据为提取信息和回答以前被认为是无形的几个问题提供了前所未有的机会。然而，要揭示大数据分析的巨大潜力，必须应对一些挑战。

Currently, big data plays a key role in science and in industry. Big data concern large volume of complex and growing datasets coming from multiple sources. There is a growing demand for approaches that are able to explore large volumes of data and extract useful information or knowledge for future actions. This large amount of data currently available provides an unprecedented opportunity to extract information and to answer several questions that were previously considered intangible. However, several challenges must be met to unveil the great potential of big data analytics.