Assessment TaskIAB303 Data Analyticsfor Business InsightSemester I 2019Assessment 2 – Data Analytics NotebookName Assessment 2 – Data Analytics NotebookDue Sun 28 Apr 11:59pmWeight 30% (indicative weighting)Submit Jupyter Notebook via BlackboardRatio…

ABSTRACT Recent technological advancement have led to a deluge of data from distinctive domains (e.g., health care and scientific sensors, user-generated data, Internet and financial companies, and supply chain systems) over the past two decades. The…

http://www.infoq.com/articles/bigdata-analytics-for-security This article first appeared in the IEEE Security & Privacymagazine and is brought to you by InfoQ & IEEE Computer Society. Enterprises routinely collect terabytes of security-relevant da…

Carlo Batini, Cinzia Cappiello, Chiara Francalanci, and Andrea Maurino. 2009. Methodologies for data quality assessment and improvement. ACM Comput. Surv. 41, 3, Article 16 (July 2009), 52 pages. (gs:173) 这篇论文是关于数据质量方法的综述,全文共52页(其中正文34页,附录18页),对现有的"d…

1. Hadoop It would be impossible to talk about open source data analytics without mentioning Hadoop. This Apache Foundation project has become nearly synonymous with big data, and it enables large-scale distributed processing of extremely large data…

本篇博文主要对DMQ(S3.7)的分类进行了研读. 1. 这个章节提出了一种DQM的分类法(如下图) 由上图可见,该分类法的分类标准是对assessment & improvement阶段的支持,以及是否解决technique(quality dimensions) & economic方面的问题. 2. 从历史发展的角度来看,数据质量维度的关注点与ICT(Information & Communication Technology)的发展是相关的. (1) 五六十年代时,mono…

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<Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本<神经网络与深度学习综述>本综述的特点是以时间排序,从1940年开始讲起,到60-80…

<面向应用于社会TV分析的应用了SDN的大数据平台> Abstract social TV analytics 是什么,就是说很多TV观众在微博.微信和推特等这些地方分享他们的观感时,然后有人就对这个进行挖掘分析,这就被称作social TV analytics.不仅如此,这些人还将大数据研究运用进TV中.想要发展一个研究social TV的平台,但是面临很多挑战,于是作者就提出在SDN的support下来搭建一个cloud-centric 平台,来提供按需虚拟机和可重构网络.这套系统的架构主…

暂无中文方面的信息,E文的也非常少,原文连接: A lot of great pieces have been written about the relatively recent surge in interest in big data and data science, but in this piece I want to address the importance of deep data analysis: what we can learn from the statistic…