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[PDF] Top 20 Big Data Analytics and the Finance Industry

Has 10000 "Big Data Analytics and the Finance Industry" found on our website. Below are the top 20 most common "Big Data Analytics and the Finance Industry".

Big Data Analytics and the Finance Industry

Big Data Analytics and the Finance Industry

... Understanding big data: Analytics for enterprise class hadoop and streaming data, McGraw-Hill Osborne Media, ...Reinsel. The digital universe in 2020: Big data, ... Voir le document complet

46

Next Step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS & Sentinel Satellite Data Streams

Next Step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS & Sentinel Satellite Data Streams

... depicts the envisioned pipeline of computation and storage for the AIS ...first, the real-time stage where data streams are analyzed in near real- time, and second, the ... Voir le document complet

5

Impacts of big data analytics and absorptive capacity on sustainable supply chain innovation: a conceptual framework

Impacts of big data analytics and absorptive capacity on sustainable supply chain innovation: a conceptual framework

... and therefore this research seeks to address these missing ...Innovation The concept of Supply Chain Innovation (SCI) signifies an integrated change from incremental to radical changes in product, process, ... Voir le document complet

12

Three essays on the informational efficiency of financial markets through the use of Big Data Analytics

Three essays on the informational efficiency of financial markets through the use of Big Data Analytics

... market data (Baker & Wurgler, 2006) or tra- ditional media content (Tetlock, ...behavioral finance have also paid special attention to the construction of investor sentiment proxies using ... Voir le document complet

178

Towards an Adaptive Multi-Agent System for Dynamic Big Data Analytics

Towards an Adaptive Multi-Agent System for Dynamic Big Data Analytics

... into the implementation and validation ...from the engineer that applies it) and validate its interests. The first is the neOCampus project, the ambient campus of ... Voir le document complet

7

Text analytics in industry: Challenges, desiderata and trends

Text analytics in industry: Challenges, desiderata and trends

... at the core of powerful models that enable Netflix to deliver better and enriched contents, closing the loop on quality and enhancing the members’ overall experience [2] ...England: ... Voir le document complet

12

Rob Kitchin, The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences

Rob Kitchin, The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences

... du big data revendiquant l'exhaustivité – est qu'ils sont toujours pertinents, bien que limités en volumes et statiques, car ils restent efficaces pour répondre à des questions précises de recherche ... Voir le document complet

5

Editorial: Special issue on natural language processing and text analytics in industry

Editorial: Special issue on natural language processing and text analytics in industry

... Learning and Data Mining, have also evolved over the years to keep pace with the proliferation of novel sources of text ...(NLP) and Text Analytics (TA) algorithms and ... Voir le document complet

2

Fusion of Information and Analytics: A Discussion on Potential Methods to Cope with Uncertainty in Complex Environments (Big Data and IoT)

Fusion of Information and Analytics: A Discussion on Potential Methods to Cope with Uncertainty in Complex Environments (Big Data and IoT)

... engine. The idea in Solaiman et ...ℐℱ𝒞. The 8-computational functions of an ℐℱ𝒞 are: “alignment, detection, partition, combination, veracity, estimation, prediction, ...[89], and ‘causal tapestries’ ... Voir le document complet

41

Big Data and the Little Big Bang: An Epistemological (R)evolution

Big Data and the Little Big Bang: An Epistemological (R)evolution

... and guide the ...research and remains true once big data become a part of it ( Gould, 1981; Boyd and Crawford, 2012; Jenkins, 2013; Bail, 2015 ...sense, data are like ... Voir le document complet

14

A qualitative analysis to investigate the enablers of big data analytics that impacts sustainable supply chain

A qualitative analysis to investigate the enablers of big data analytics that impacts sustainable supply chain

... use’: the lower the likelihood to use a particular item, the lower the need of stock for such items, the higher the savings regarding space in the ...regarding the ... Voir le document complet

212

Accelerating data preparation for big data analytics

Accelerating data preparation for big data analytics

... 4.24(a) and Figure 4.24(b) show the evolution in time of throughput and latency, whereas Figure ...gives the CDF of the processing ...(at the 60M tuple) implies that Bleach needs ... Voir le document complet

144

Parallel Techniques for Big Data Analytics

Parallel Techniques for Big Data Analytics

... capability and its effectiveness for a very fast and successful miki ...of the quantity of transferred data (in megabyte) over the network by each presented algorithm on the ... Voir le document complet

90

Data Quality Alerting Model for Big Data Analytics

Data Quality Alerting Model for Big Data Analytics

... This is an author’s version published in: http://oatao.univ-toulouse.fr/26343 Open Archive Toulouse Archive Ouverte OATAO is an open access repository that collects the work of Toulouse researchers and ... Voir le document complet

13

Data Quality Alerting Model for Big Data Analytics

Data Quality Alerting Model for Big Data Analytics

... for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or ...not. The documents may come from teaching and research institutions in France or ... Voir le document complet

14

Spark versus Flink: Understanding Performance in Big Data Analytics Frameworks

Spark versus Flink: Understanding Performance in Big Data Analytics Frameworks

... in the execution of a workload, particularly for datasets larger than available ...of data in a JVM means storing them as objects on the heap, this approach has a few notable drawbacks, as also ... Voir le document complet

12

Big Data Analytics Using fuzzy logic approach

Big Data Analytics Using fuzzy logic approach

... In the era of big data, we are facing with an immense volume and high velocity of data with complex ...structures. Data can be produced by online and offline transactions, ... Voir le document complet

86

BlueDBM: An Appliance for Big Data Analytics

BlueDBM: An Appliance for Big Data Analytics

... Complex data queries, because of their need for random accesses, have proven to be slow unless all the data can be accommodated in ...geological data and daily twitter feeds where ... Voir le document complet

14

Investigating the Enablers of Big Data Analytics on Sustainable Supply Chain

Investigating the Enablers of Big Data Analytics on Sustainable Supply Chain

... with big data and predictive analytics (BDPA)? According to McKinsey and Company, big data and predictive analytics (BDPA) would be an opportunity to knuckle ... Voir le document complet

22

La data science appliquée à la finance

La data science appliquée à la finance

... la data science et ces technologies, la finance comme les autres industries dans le monde ne pourrait imaginer extraire des informations désormais vitales pour leur ...le big data s’intègrait ... Voir le document complet

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