pith. sign in

arxiv: 1509.04545 · v1 · pith:EHUJNWORnew · submitted 2015-09-15 · 💻 cs.NI

Resilient Big Data Monetization

classification 💻 cs.NI
keywords measurementtoolscommon-interestsdatamonetizationresilientac-quireacquires
0
0 comments X
read the original abstract

Resilient Big Data monetization is devised as k-dominance and m-connectivity problems, such that common-interests are connected by k-ways to measurement tools, which are tied within each other in m-ways. Consequently, a greedy approximation algorithm Plutus (i.e resembling Greek god of wealth) is proposed, which isolates measurement tools to ac-quire domination over common-interests, establishes synergy from common-interests to measurement tools and then acquires divergence and sustains it within measurement tools

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.