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We formulate the problem of sequential diversification for iterative data exploration, together with metrics that capture both the efficiency and effectiveness of diversification (Sect. 2).
Hence, motivated by the need to efficiently provide users with effective insights during data exploration we propose an efficient scheme for sequential diversification in data exploration platforms.
In a nutshell the contributions of this paper are as follows: We formulate the problem of sequential diversification for iterative data exploration, together with metrics that capture both the efficiency and effectiveness of diversification (Sect. 2).
To capture the performance of solutions for sequential diversification during a data exploration session, we define the following metrics: Diversification cost, (C(S_i)), is defined as the processing cost, in terms of number of distance and comparison operations, required to process a result (X_i) to produce a diversified result (S_i) of size k.
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Derived from the Greek for recent life, it reflects the sequential development and diversification of life on Earth from the Paleozoic (ancient life) through the Mesozoic (middle life).
Roadmap: We define the sequential search result diversification for data exploration platforms in Sect. 2.
The study of trace metal speciation has benefited from a great deal of interest leading to the development and the diversification of sequential extraction schemes (SES), which triggered the need for harmonization by the standard, measurements and testing programme (SM & T).
In this subject it is evident that the viral population significantly evolved from the transmitted/founder virus during the early acute phase of the infection with rapid genomic diversification undergoing sequential genetic bottlenecks events.
Before going through the details of each of those techniques, we first present our baseline solution for the diversification of multiple sequential queries, namely: Greedy Construction.
Evolution of a strategy for preparing bioactive small molecules by sequential multicomponent assembly processes, cyclizations, and diversification.
Hence, here we extend the definition of result diversification to the diversification of multiple sequential queries as defined below: Let ({mathbb {M}}) represent a set of multiple queries within an exploratory session.
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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