Results 31 to 40 of about 3,624,229 (370)
Theoretical Computer Science, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hotz, Günter, Chadzelek, Thomas
openaire +2 more sources
Analytical support of the Church splits’ study
Studia Humanitatis, 2013 The article discusses the need of the theological analysis and analytical support in the study of schisms that are considered to be contemporary challenges of the Russian Orthodox Church unity.
Bochkov Pavel Vladimirovich +1 more
doaj +1 more source
Risk-based audits in a behavioural model. [PDF]
, 2015 The tools of predictive analytics are widely used in the analysis of large data sets to predict future patterns in the system. In particular, predictive analytics is used to estimate risk of engaging in certain behavior.
Hashimzade, N., Myles, G.
core +3 more sources
Big data analytics in healthcare: promise and potential
Health Information Science and Systems, 2014 To describe the promise and potential of big data analytics in healthcare. The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported
W. Raghupathi, V. Raghupathi
semanticscholar +1 more source
Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems [PDF]
, 2019 Big data analytics is a virtually new term in power system terminology. This concept delves into the way a massive volume of data is acquired, processed, analyzed to extract insight from available data.
Gharehpetian, Gevork B. +4 more
core +2 more sources
Deep learning applications and challenges in big data analytics
Journal of Big Data, 2015 Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information
M. M. Najafabadi +5 more
semanticscholar +1 more source
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2018 Deep learning has recently seen rapid development and received significant attention due to its state-of-the-art performance on previously-thought hard problems. However, because of the internal complexity and nonlinear structure of deep neural networks,
Fred Hohman +3 more
semanticscholar +1 more source
Text Analytics for Android Project [PDF]
, 2014 Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Abul Seoud +21 more
core +1 more source
British Journal of Management, 2019 With big data analytics growing rapidly in popularity, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive strategies.
Patrick Mikalef +3 more
semanticscholar +1 more source