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Attribute–value pair

Known as: Key-value, KVP, Arbitrary key-value pair 
A name–value pair, key–value pair, field–value pair or attribute–value pair is a fundamental data representation in computing systems and… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Customer loyalty or repeat purchasing is critical for the survival and success of any store. By focusing on online stores, this… 
Highly Cited
2010
Highly Cited
2010
Emergent perspectives in marketing highlight new opportunities for co-opting customers as a means to define and cocreate value… 
Highly Cited
2010
Highly Cited
2010
I propose a theory aimed at advancing scholarly research in social entrepreneurship. By highlighting the key trade-off between… 
Highly Cited
2009
Highly Cited
2009
We describe the design of high-performance parallel radix sort and merge sort routines for manycore GPUs, taking advantage of the… 
Highly Cited
2007
Highly Cited
2007
Reliability at massive scale is one of the biggest challenges we face at Amazon.com, one of the largest e-commerce operations in… 
Highly Cited
2006
Highly Cited
2006
  • J. Grzymala-Busse
  • Foundations and Novel Approaches in Data Mining
  • 2006
  • Corpus ID: 10809578
In this paper we assume that a data set is presented in the form of the incompletely specified decision table, i.e., some… 
Highly Cited
2003
Highly Cited
2003
This paper models firms’ choices between alternative means of presenting information, and the effects of different presentations… 
Highly Cited
2003
Highly Cited
2003
Firms allocate their limited resources between two fundamental processes of creating value (i.e., innovating, producing, and… 
Highly Cited
2002
Highly Cited
2002
Making effective use of the vast amounts of data gathered by large-scale sensor networks will require scalable, self-organizing… 
Highly Cited
2000
Highly Cited
2000
This paper explains that value relevance research assesses how well accounting amounts reflect information used by equity…