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Apr 19, 2017 · We focus on a QC that applies time-optimized techniques and aggregation operators to deliver every response, i.e., ordered sets, over streams of ...
ordered set. We focus on the QC behavior and support it by propos- ing a methodology for the aggregation of partial ordered sets and a decision making ...
These ordered sets include objects in a ranked order and require novel mechanisms for deriving responses based on partial results. In this paper, we study a ...
Predictive Intelligence in Analytics Aggregation of Partial Ordered Subsets. ... Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security.
We present a key technique that computes an appropriate subset of a block-level sample that is suitable for use with most existing estimators. This, to the best ...
2010) starts to consider the partial ranking problem from the learning perspective. The idea is that it produces predictions in the form of partial order by.
Missing: Analytics | Show results with:Analytics
Abstract. We propose a framework for descriptively analyzing sets of partial orders based on the concept of depth functions. Despite intensive studies of ...
Missing: Analytics | Show results with:Analytics
Dec 12, 2017 · We introduce a predictive modeling solution that provides high quality predictive analytics over aggregation queries in Big Data ...
Hadjiefthymiades, 'Predictive Intelligence in Analytics Aggregation of Partially Ordered Subsets ... These progressive analytics are related to partial ordered ...