Automatic structuring and retrieval of large text files
Communications of the ACM
A theory of term weighting based on exploratory data analysis
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Logistic Regression Using the SAS System: Theory and Application
Logistic Regression Using the SAS System: Theory and Application
A taxonomic view of illegal transfer of technologies: A case study
Journal of Engineering and Technology Management
Text classification from unlabeled documents with bootstrapping and feature projection techniques
Information Processing and Management: an International Journal
Developing a semantic-enable information retrieval mechanism
Expert Systems with Applications: An International Journal
Direct and indirect effects of retail promotions on sales and profits in the do-it-yourself market
Expert Systems with Applications: An International Journal
Customer-adapted coupon targeting using feature selection
Expert Systems with Applications: An International Journal
Extracting Consumers Needs for New Products - A Web Mining Approach
WKDD '10 Proceedings of the 2010 Third International Conference on Knowledge Discovery and Data Mining
Unified collaborative filtering model based on combination of latent features
Expert Systems with Applications: An International Journal
Mining ideas from textual information
Expert Systems with Applications: An International Journal
An empirical examination of the science-technology relationship in the biotechnology industry
Journal of Engineering and Technology Management
A semantic term weighting scheme for text categorization
Expert Systems with Applications: An International Journal
A fuzzy risk assessment model for hospital information system implementation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An online AUC formulation for binary classification
Pattern Recognition
Topics modeling based on selective Zipf distribution
Expert Systems with Applications: An International Journal
Global data mining: An empirical study of current trends, future forecasts and technology diffusions
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
User-oriented ontology-based clustering of stored memories
Expert Systems with Applications: An International Journal
Using latent topics to enhance search and recommendation in Enterprise Social Software
Expert Systems with Applications: An International Journal
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Modeling partial customer churn: On the value of first product-category purchase sequences
Expert Systems with Applications: An International Journal
Predicting e-commerce company success by mining the text of its publicly-accessible website
Expert Systems with Applications: An International Journal
Improved multilevel security with latent semantic indexing
Expert Systems with Applications: An International Journal
Using Webcrawling of Publicly Available Websites to Assess E-commerce Relationships
SRII '12 Proceedings of the 2012 Annual SRII Global Conference
Technology classification with latent semantic indexing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Web mining based extraction of problem solution ideas
Expert Systems with Applications: An International Journal
Weak signal identification with semantic web mining
Expert Systems with Applications: An International Journal
Quantitative cross impact analysis with latent semantic indexing
Expert Systems with Applications: An International Journal
Semantic compared cross impact analysis
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
In recent years, governmental and industrial espionage becomes an increased problem for governments and corporations. Especially information about current technology development and research activities are interesting targets for espionage. Thus, we introduce a new and automated methodology that investigates the information leakage risk of projects in research and technology (R&T) processed by an organization concerning governmental or industrial espionage. Latent semantic indexing is applied together with machine based learning and prediction modeling. This identifies semantic textual patterns representing technologies and their corresponding application fields that are of high relevance for the organization's strategy. These patterns are used to estimate organization's costs of an information leakage for each project. Further, a web mining approach is processed to identify worldwide knowledge distribution within the relevant technologies and corresponding application fields. This information is used to estimate the probability that an information leakage occur. A risk assessment methodology calculates the information leakage risk for each project. In a case study, the information leakage risk of defense based R&T projects is investigated. This is because defense based R&T is of particularly interest by espionage agents. Overall, it can be shown that the proposed methodology is successful in calculation the espionage information leakage risk of projects. This supports an organization by processing espionage risk management.