大数据分析中使用的有效机器学习技术

S. Senthil Kumar, V. Kathiresan
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引用次数: 0

摘要

大数据是指从各种来源收集的大量数字数据的总称,这些数据过于庞大且形式原始。大数据处理了复杂性、安全性、隐私风险等新挑战。大数据正在重新定义数据管理,从提取、转换、处理到清洗、精简[1]。如今,网络产生的数据量有了很大的增长。数据是如此之大,以至于很难用传统的挖掘方法来分析它。“大数据”一词被用来形容超出处理能力的数据[2]。此外,不断增长的数据量也促进了对大数据分析的需求。
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Effective Machine Learning Techniques used in Big Data Analytics
Big data is a general term for massive amount of digital data being collected from various sources that are too large and raw in form. Big data deals with new challenges like complexity, security, risks to privacy. Big data is redefining the data management from extraction, transformation and processing to cleaning and reducing [1].There has been a lot of growth in the amount of data generated by web these days. The data has been so large that it becomes difficult to analyse it with the help of our traditional mining methods. Big data term has been coined for data that exceeds the processing capability [2]. Moreover, the rising data volume has contributed to the increasing demand for big data analytics.
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