[PDF] Top 20 Big data for data analysis in financial industry

... O Big Data surge em grande força, apresentando um elevada capacidade de processar a alta velocidade grandes quantidades e variedade dos ...do Big Data pelas organizações dos mais diversos ... See full document

... all, in [10], found that increasing the number of applications for large data, as web search engines, shall have a high full time tracking availability, storage and analysis of a large number of ... See full document

... used in data analysis are not enough in order to benefit of all advantages of big ...between data could be missed, because it is difficult or even impossible to verify all ... See full document

... to financial performance of cooperative, where the relationship between loan and financial performance is moderated by non-performing ...257 Financial Service Cooperative (hereinafter referred to as ... See full document

... complex data-processing procedures required for such studies there are two other challenges which ...of data to be analysed it can be difficult to initially identify emerging ...medium in which they ... See full document

... any data management plan are related with data integration and consistency, dimension reduction, redundancy removal, data cleaning, documentation development about governance policies and data ... See full document

... Pig is a framework for executing data flows in parallel on Hadoop. It has two components: a language and an engine. Pig’s language, called Pig Latin, makes it easier for non- technical users to interact ... See full document

... Studies in Bucharest, Romania. In June 2004 he has graduated the Faculty of Cybernetics, Statistics and Economic Informatics at the Academy of Economic Studies in ...Bucharest. In March 2006 ... See full document

... were in relation to understanding all the variables that we used to do the statistical analysis, to do the analysis of the clusters, to create the classification and regression ...sources in ... See full document

... bend in the road, that there is another vehicle bearing down on one, and that there is a cyclist just ahead on the near ...is, in steering a car, one sees that certain things lie ahead, which will have to ... See full document

... clusters in big data, are usually associated with detecting unusual observations or ...issue in the big data ...of data along with their high dimensional nature requires ... See full document

... an analysis of the impact of the information explosion and a reflection on the impacts and advances in the discipline are presented, considering not only concepts of Big Data, social networks ... See full document

... the data science community, which states that, in statistical inference, the aggregate cost-benefit relationship of all candidate solution methods ...– in other words, there is no “best” model that ... See full document

... discussed in Section ...manufacturing in Industry 4.0. In (Lee, Bagheri, & Kao, 2014) the authors overview the recent advances and trends regarding CPPS and big data ... See full document

... of data produced daily, by both businesses and individuals in the web, increased the demand for analysis and extraction of knowledge of this ...perform data mining algorithms, currently it has ... See full document

... advances in predictive analytics. In the previous example of Target’s pregnancy prediction, there was no privacy concern in the customer’s consensual provision of purchase ...laid in the ... See full document

... kept in the archives and on the retrieval of the desired information, this research aims to analyze the relationships between the archival practices and the digital record collected in a Big ...the ... See full document

... of data in the development of more efficient products and services for the consumer market is nothing ...use big data to create more assertive laws, making them more effective? The text ... See full document

... the data must be able to already sort it ...the data that is collected must be received in an understandable manner for the software that sorts ...of data come, for example, from the ... See full document

... periodicity, in a batch of independent server requests of the service, and from a fixed range of IP ...aggregation data methodologies were used, capable of representing a small pattern behavior of users ... See full document