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End-to-end LDA-based automatic weak signal detection in web news
An extremely competitive business environment requires every company to monitor its
competitors and anticipate future opportunities and risks, creating a dire need for competitive …
competitors and anticipate future opportunities and risks, creating a dire need for competitive …
A review of how whistleblowing is studied in software engineering, and the implications for research and practice
L Hunt, MA Ferrario - Proceedings of the 2022 ACM/IEEE 44th …, 2022 - dl.acm.org
Harmful software has resulted in loss of life, societal and environmental damage alongside
economic losses from fines and sales embargoes. When someone perceives their team or …
economic losses from fines and sales embargoes. When someone perceives their team or …
Low-frequency, high-impact: Discovering important rare events from UGC
Rare events are those with a small occurrence probability, but might have a substantial
impact. Despite their potential importance, previous research hardly considers rare events …
impact. Despite their potential importance, previous research hardly considers rare events …
BEAM: a network topology framework to detect weak signals
H Abou Jamra, M Savonnet… - International Journal of …, 2022 - search.proquest.com
In these days, strategic decision making and im-mediate action are becoming a complex
task for companies and policymakers, since the environment is subject to emerging changes …
task for companies and policymakers, since the environment is subject to emerging changes …
Identification of weak signals in a temporal graph of social interactions
H Abou Jamra, M Savonnet, E Leclercq - Proceedings of the 26th …, 2022 - dl.acm.org
Social networks are becoming increasingly a source of wealth for people to connect with
others in the society and express themselves. These networks store huge amounts of data …
others in the society and express themselves. These networks store huge amounts of data …
Detection of event precursors in social networks: A graphlet-based method
H Abou Jamra, M Savonnet, É Leclercq - International Conference on …, 2021 - Springer
The increasing availability of data from online social networks attracts researchers' interest,
who seek to build algorithms and machine learning models to analyze users' interactions …
who seek to build algorithms and machine learning models to analyze users' interactions …
Data-Driven Foresight in Life Cycle Management: An Interview Study
M Scheuffele, N Bayrle-Kelso, L Brecht - ISPIM Innovation Conference, 2024 - Springer
Discontinuities in the market create space for disruptive business opportunities. A promising
approach for companies to proactively identify future competitive advantages is Data-Driven …
approach for companies to proactively identify future competitive advantages is Data-Driven …
Early identification methods for emerging technologies based on weak signals
C Zhan - 2022 - researchsquare.com
To intelligently identify emerging technology research directions at an early stage, this study
proposes a method for the early identification of emerging technology directions on the basis …
proposes a method for the early identification of emerging technology directions on the basis …
The Power of Weak Signals: A Twitter Analysis on Game of Thrones' Final Season
H Abou Jamra, M Savonnet - Transactions on Large-Scale Data-and …, 2023 - Springer
Abstract Online Social Networks are built on relationships between individuals. Moreover,
they are a space where particular events emerge more quickly than through traditional …
they are a space where particular events emerge more quickly than through traditional …
Review on adopting concept extraction in weak signals detection in competitive intelligence
The dynamic nature of competition in the business environment makes a company's ability
to secure future change more critical to its survival. Consequently, efficient exploitation of …
to secure future change more critical to its survival. Consequently, efficient exploitation of …