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And to ensure that the company's tools can reach the widest audience, Addepar opened an API and has integrated its data mining and analytical toolkit into products for Salesforce, FolioDynamix, icapital Network, Citco Fund Services , RedBlack Software Blas Portfolio, Quovo and others.
In this paper, we focus on reviewing the application of data mining and analytical techniques designed so far for (i) prediction, (ii) detection, and (iii) development of appropriate disaster management strategy based on the collected data from disasters.
Research throughout all levels of accessible data, using various data mining and analytical techniques, can be used to help the healthcare system make decisions faster, more accurately, and more efficiently, all in a more cost-effective manner than without using such methods.
Because homology is the central concept in evolutionary comparative biology, addressing this challenge with appropriate data mining and analytical tools has to become a priority in the burgeoning field of visual computer analyses.
The approach taken could use existing databases for the visualization of complex gene and signaling networks as a mining and analytical tool for hypothesis generation (Ekins et al. 2006).
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Due to the planned mining method, empirical and analytical methods cannot be used to assess the stresses around the gateways.
In this paper, we propose the privacy-by-design paradigm to develop technological frameworks for countering the threats of undesirable, unlawful effects of privacy violation, without obstructing the knowledge discovery opportunities of social mining and big data analytical technologies.
The loosely coupled relationships between visualization and analytical data mining (DM) techniques represent the majority of the current state of art in visual data mining; DM modeling is typically an automatic process with very limited forms of guidance from users.
GUHA is a first-order monadic logic-based data mining method; the main concepts are generalized quantifiers and analytical questions set by the user; the analytical questions can be expressed by GUHA language.
Big data analytics is defined as technologies (database and data mining tools) and techniques (analytical methods) that a company can implement to analyse large scale, complex data for various applications intended to augment the performance of the firm in various dimensions.
This requires the integration of data-mining algorithms with interactive tools to manipulate data and analytical process.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com