Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics

Abstract

In Big Data analysis, the application of machine learning has proven to be a revolutionary. The systematic review of literature shows that research has been carried out on the domain of big data analytics particularly text analytics with the inclusion of machine learning approaches. This extensive survey deals with the data at hand that provides different ways and issues while combining the machine learning approaches with the text. During the course of the survey, various publications in the field of synchronous application of machine learning in text analytics were searched and studied. Classification framework is proposed as the contribution of machine learning in text analytics. A classification framework represented the various application areas to motivate researchers for future research on the application of two emerging technologies.

Pre-Crime Prediction

“…Hildebrandt (2013) referred to "Big Data" as a proper noun and succumbed to perceiving big data algorithmic systems as having minds of their own. Big data involves the amalgamating of a vast accumulation of semi-structured, unstructured, and structured data (Sangwan & Bhatnagar, 2020). Big data processing necessitated a much greater quantity of computing, processing, and storage capacities than ordinary database systems (Sangwan & Bhatnagar, 2020).…”

“…Big data involves the amalgamating of a vast accumulation of semi-structured, unstructured, and structured data (Sangwan & Bhatnagar, 2020). Big data processing necessitated a much greater quantity of computing, processing, and storage capacities than ordinary database systems (Sangwan & Bhatnagar, 2020). Within the context of the justice system, big data applications were appropriate for fraud detection (Sangwan & Bhatnagar, 2020).…”

Modelado de tópicos aplicado al análisis del papel del aprendizaje automático en revisiones sistemáticas

“…En el tópico 2 se destacan trabajos como el de Chishtie et al ( 2019), donde se explora y sintetiza la literatura relacionada con la analítica visual aplicada en los servicios de investigación clínica, o el de Sangwan & Bhatnagar (2020) en donde se analizan los distintos métodos de ML que han sido aplicados en la analítica de textos. También se destaca el trabajo de Antons et al (2021), donde se definen los métodos automatizados de revisión de literatura, como el de revisión computacional de literatura, y se amplía el concepto con varios ejemplos.…”

A Management and Enterprise Architecture Framework for Comprehensive Structure Design of Complex Services

“…• Data-based -traditional statistics and econometrics, data mining, and web mining-to develop predictive models, and artificial intelligence (AI), including machine learning (ML), which may use big data, for predictive and prescriptive models (Sangwan & Bhatnagar, 2020), • Operations Research and Management Science providing prescriptive models, with techniques such as optimization models -linear, non-linear, and discrete-, heuristics, probabilistic models, and simulation.…”