Intelligent System for Detection of Cybercrime Vocabulary on Websites

Zúñiga, Ivan Castillo; Lopez-Veyna, Jaime I.; Rosas, Francisco Javier Luna; Estrada, Gustavo Tirado

doi:10.6036/9755

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An ordered and structured execution of the activities influences the possible results obtained from the intelligent processing of big data. Furthermore, there are additional activities that may be required, such as processing and disseminating sensitive data under privacy and security policies [58]; and the relation and inclusion of other emerging technologies, such as the Internet of Things or cloud computing, could be analyzed [59]. In this sense, the CNO field may be interested in future research projects that propose a methodology to guide the execution of different activities.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked Organization

Hernandez-Almazan¹,

Chalmeta²,

Hernández

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

A Collaborative Networked Organization (CNO) is a set of entities that operate in heterogeneous contexts and aim to collaborate to take advantage of a business opportunity or solve a problem. Big data allows CNOs to be more competitive by improving their strategy, management and business processes. To support the development of big data ecosystems in CNOs, several frameworks have been reported in the literature. However, these frameworks limit their application to a specific CNO manifestation and cannot conduct intelligent processing of big data to support decision making at the CNO. This paper makes two main contributions: (1) the proposal of a metaframework to analyze existing and future frameworks for the development of big data ecosystems in CNOs and (2) to show the Collaborative Networked Organizations–big data (CNO-BD) framework, which includes guidelines, tools, techniques, conceptual solutions and good practices for the building of a big data ecosystem in different kinds of Collaborative Networked Organizations, overcoming the weaknesses of previous issues. The CNO-BD framework consists of seven dimensions: levels, approaches, data fusion, interoperability, data sources, big data assurance and programmable modules. The framework was validated through expert assessment and a case study.

show abstract

Section: Limitations and Future Researchmentioning

confidence: 99%