Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Automatic structuring and retrieval of large text files
Communications of the ACM
Centroid-Based Document Classification: Analysis and Experimental Results
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
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
Mining changes in customer behavior in retail marketing
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
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
An SAO-based text mining approach to building a technology tree for technology planning
Expert Systems with Applications: An International Journal
An extensive experimental comparison of methods for multi-label learning
Pattern Recognition
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
A high performance centroid-based classification approach for language identification
Pattern Recognition Letters
Protecting research and technology from espionage
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 |
Many national and international governments establish organizations for applied science research funding. For this, several organizations have defined procedures for identifying relevant projects that based on prioritized technologies. Even for applied science research projects, which combine several technologies it is difficult to identify all corresponding technologies of all research-funding organizations. In this paper, we present an approach to support researchers and to support research-funding planners by classifying applied science research projects according to corresponding technologies of research-funding organizations. In contrast to related work, this problem is solved by considering results from literature concerning the application based technological relationships and by creating a new approach that is based on latent semantic indexing (LSI) as semantic text classification algorithm. Technologies that occur together in the process of creating an application are grouped in classes, semantic textual patterns are identified as representative for each class, and projects are assigned to one of these classes. This enables the assignment of each project to all technologies semantically grouped by use of LSI. This approach is evaluated using the example of defense and security based technological research. This is because the growing importance of this application field leads to an increasing number of research projects and to the appearance of many new technologies.