scholarly journals Short Text Mining: State of the Art and Research Opportunities

2019 ◽  
Vol 15 (10) ◽  
pp. 1450-1460
Author(s):  
Mohamed Grida ◽  
Hasnaa Soliman ◽  
Mohamed Hassan
Keyword(s):  
Text Mining ◽  
State Of The Art ◽  
Short Text ◽  
Research Opportunities

Performance measurement and management in the public sector: state of the art and research opportunities

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrizia Garengo ◽  
Alberto Sardi
Keyword(s):  
Public Sector ◽  
Performance Measurement ◽  
State Of The Art ◽  
Business Management ◽  
Academic Research ◽  
Conceptual Structure ◽  
Content Type ◽  
Research Opportunities ◽  
The Public ◽  
Public Organisations

PurposeSince the 1980s, performance measurement and management (PMM) has been described as an essential element of new public management (NPM) reforms. The purpose of this paper is to provide an overview of the current state of the art and future research opportunities for PMM in public sector management.Design/methodology/approachThe paper carried out a bibliometric literature review using two main techniques named (1) performance analysis and (2) science mapping techniques. It investigated the academic research area describing the main publications' trend, the conceptual structure and its evolution from 1996 to 2019.FindingsThe results highlighted the growing relevance of PMM research in public organisations and confirmed a great interest of the business, management and accounting literature on PMM in public sector management. Furthermore, the results also described a conceptual structure of the public PMM literature analysed and its evolution being too generic to answer public organisations' needs. The results identified five main research gaps and research opportunities.Originality/valueAlthough the adoption of rigorous bibliometric techniques was recognised as being useful for assessing the academic research study, the paper describes the business, management and accounting literature contributing to new theoretical and practical future opportunities.

scholarly journals Graph Algorithms for Word Sense Disambiguation in Biomedicine

2015 ◽  
Author(s):  
Rodrigo Goulart ◽  
Juliano De Carvalho ◽  
Vera De Lima
Keyword(s):  
Text Mining ◽  
Graph Algorithms ◽  
State Of The Art ◽  
Word Sense Disambiguation ◽  
The State ◽  
Word Sense ◽  
New Approach ◽  
Similar Performance ◽  
Sense Disambiguation ◽  
Different Levels

Word Sense Disambiguation (WSD) is an important task for Biomedicine text-mining. Supervised WSD methods have the best results but they are complex and their cost for testing is too high. This work presents an experiment on WSD using graph-based approaches (unsupervised methods). Three algorithms were tested and compared to the state of the art. Results indicate that similar performance could be reached with different levels of complexity, what may point to a new approach to this problem.

scholarly journals Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art

Drug Safety ◽  
2014 ◽  
Vol 37 (10) ◽  
pp. 777-790 ◽  
Author(s):  
Rave Harpaz ◽  
Alison Callahan ◽  
Suzanne Tamang ◽  
Yen Low ◽  
David Odgers ◽  
...  
Keyword(s):  
Text Mining ◽  
Adverse Drug Events ◽  
State Of The Art

scholarly journals Systematic Review on Security and Privacy Requirements in Edge Computing: State of the Art and Future Research Opportunities

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 76541-76567 ◽  
Author(s):  
Muktar Yahuza ◽  
Mohd Yamani Idna Bin Idris ◽  
Ainuddin Wahid Bin Abdul Wahab ◽  
Anthony T. S. Ho ◽  
Suleman Khan ◽  
...  
Keyword(s):  
Systematic Review ◽  
State Of The Art ◽  
Edge Computing ◽  
Security And Privacy ◽  
Future Research ◽  
Research Opportunities ◽  
Privacy Requirements

scholarly journals Text Mining in Cybersecurity: Exploring Threats and Opportunities

2019 ◽  
Vol 3 (3) ◽  
pp. 62 ◽  
Author(s):  
Maaike H. T. de Boer ◽  
Babette J. Bakker ◽  
Erik Boertjes ◽  
Mike Wilmer ◽  
Stephan Raaijmakers ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Text Mining ◽  
State Of The Art ◽  
Data Sources ◽  
Added Value ◽  
Design Decision ◽  
User Evaluation ◽  
User Query ◽  
Overall Evaluation ◽  
Speed Up

The number of cyberattacks on organizations is growing. To increase cyber resilience, organizations need to obtain foresight to anticipate cybersecurity vulnerabilities, developments, and potential threats. This paper describes a tool that combines state of the art text mining and information retrieval techniques to explore the opportunities of using these techniques in the cybersecurity domain. Our tool, the Horizon Scanner, can scrape and store data from websites, blogs and PDF articles, and search a database based on a user query, show textual entities in a graph, and provide and visualize potential trends. The aim of the Horizon Scanner is to help experts explore relevant data sources for potential threats and trends and to speed up the process of foresight. In a requirements session and user evaluation of the tool with cyber experts from the Dutch Defense Cyber Command, we explored whether the Horizon Scanner tool has the potential to fulfill its aim in the cybersecurity domain. Although the overall evaluation of the tool was not as good as expected, some aspects of the tool were found to have added value, providing us with valuable insights into how to design decision support for forecasting analysts.

Text Mining in Bioinformatics

2013 ◽  
Vol 3 (2) ◽  
pp. 30-39 ◽  
Author(s):  
Yanliang Qi
Keyword(s):  
Text Mining ◽  
State Of The Art ◽  
Rapid Development ◽  
Exponential Rate ◽  
Data Set ◽  
Research Directions ◽  
Main Research ◽  
Needed Information ◽  
Huge Data ◽  
Daunting Task

Biomedical literatures have been increased at the exponential rate. To find the useful and needed information from such a huge data set is a daunting task for users. Text mining is a powerful tool to solve this problem. In this paper, we surveyed on text mining in Bioinformatics with emphasis on applications of text mining for bioinformatics. In this paper, the main research directions of text mining in bioinformatics are accompanied with detailed examples. This paper suited the need for the state-of-the-art of the field of text mining in Bioinformatics because of the rapid development in both text mining and bioinformatics. Finally, the problems and future way are identified at last.

Multibody Dynamics Since 1990

1996 ◽  
Vol 49 (10S) ◽  
pp. S35-S40 ◽  
Author(s):  
R. L. Huston
Keyword(s):  
Multibody Dynamics ◽  
State Of The Art ◽  
The State ◽  
Technical Literature ◽  
Research Opportunities ◽  
Constrained Multibody Dynamics ◽  
Major Increase

This is a review of multibody dynamics research reported in the technical literature since 1990. It is an update of an earlier review appearing in 1991. In the five to six years since the writing of that first review, it is found that the literature has greatly expanded, attesting to a major increase in research efforts, with the greatest increase occurring in flexible and constrained multibody dynamics. In this review, the state-of-the-art of the research is briefly outlined and a discussion about unresolved issues and research opportunities is presented.

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