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Mining Useful Information from Big Data Models Through Semantic-based Process Modelling and Analysis

A journal article describing methods to extract useful information from big data models using semantic-based process modelling and analysis. Publisher listed as John M. Pfau Library, California State University San Bernardino; published 2019-02-04.

Categories: science-and-space, technology

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence
6/10
Geographic reach
2/10
Global importance
3/10
Impact magnitude
3/10
Positivity
6/10
Urgency
1/10

Why it matters

The paper presents methods aimed at improving information extraction from big data models.

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