大数据处理算法与方法综述
Algorithm and approaches to handle large Data- A Survey
摘要：
数据采掘环境产生了大量的数据，需要对这些数据进行分析，从中提取模式来获取知识。在这个结构化和非结构化数据蓬勃发展的新时代，在基因组学，气象学，生物学，环境研究和许多其他领域，使用传统的数据库和架构来处理，管理和分析模式已经变得困难。因此，应该了解适当的架构以获得有关大数据的知识。本文回顾了1994年至2013年处理如此大的数据集所需的各种算法。这些算法定义了处理大数据的各种结构和方法，本文还列出了为分析它们而开发的各种工具。
英文摘要：
Data mining environment produces a large amount of data, that need to be analyzed, patterns have to be extracted from that to gain knowledge. In this new era with boom of data both structured and unstructured, in the field of genomics, meteorology, biology, environmental research and many others, it has become difficult to process, manage and analyze patterns using traditional databases and architectures. So, a proper architecture should be understood to gain knowledge about the Big Data. This paper presents a review of various algorithms from 1994-2013 necessary for handling such large data set. These algorithms define various structures and methods implemented to handle Big Data, also in the paper are listed various tool that were developed for analyzing them.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
