| Predicting E-Commerce Company Success by Mining the Text of Its Publicly-Accessible Website D Thorleuchter, D Van den Poel Expert Systems with Applications 39 (17), 13026–13034, 2012 | 109 | 2012 |
| Mining ideas from textual information D Thorleuchter, D Van den Poel, A Prinzie Expert Systems with Applications 37 (10), 7182-7188, 2010 | 100 | 2010 |
| Hadith Data Mining and Classification: A Comparative Analysis MA Saloot, N Idris, R Mahmud, S Ja’afar, D Thorleuchter, A Gani Artificial Intelligence Review 46 (1), 113-128, 2016 | 94 | 2016 |
| Predicting Customer Profitability During Acquisition: Finding the Optimal Combination of Data Source and Data Mining Technique J D’Haen, D Van den Poel, D Thorleuchter Expert Systems with Applications 40 (6), 2007-2012, 2013 | 90 | 2013 |
| Analyzing existing customers’ websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing D Thorleuchter, D Van den Poel, A Prinzie Expert Systems with Applications 39 (3), 2597–2605, 2012 | 84 | 2012 |
| Weak signal identification with semantic web mining D Thorleuchter, D Van den Poel Expert Systems with Applications 40 (12), 4978-4985, 2013 | 80 | 2013 |
| A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies D Thorleuchter, D Van den Poel, A Prinzie Technological Forecasting and Social Change 77 (7), 1037-1050, 2010 | 77 | 2010 |
| Integrating Expert Knowledge and Multilingual Web Crawling Data in a Lead Qualification System J D’Haen, D Van den Poel, D Thorleuchter, DF Benoit Decision Support Systems 82, 69-78, 2016 | 63 | 2016 |
| Web Mining based Extraction of Problem Solution Ideas D Thorleuchter, D Van den Poel Expert Systems with Applications 40 (10), 3961-3969, 2013 | 59 | 2013 |
| Idea Mining for Web-based Weak Signal Detection D Thorleuchter, D Van den Poel Futures 66, 25–34, 2015 | 50 | 2015 |
| Semantic weak signal tracing D Thorleuchter, T Scheja, D Van den Poel Expert systems with applications 41 (11), 5009-5016, 2014 | 50 | 2014 |
| Extracting Consumers Needs for New Products-A Web Mining Approach D Thorleuchter, D Van den Poel, A Prinzie Knowledge Discovery and Data Mining, 2010. WKDD'10. Third International …, 2010 | 37 | 2010 |
| Technology Classification with Latent Semantic Indexing D Thorleuchter, D Van den Poel Expert Systems with Applications 40 (5), 1786-1795, 2013 | 36 | 2013 |
| Protecting Research and Technology from Espionage D Thorleuchter, D Van den Poel Expert Systems with Applications 40 (9), 3432-3440, 2013 | 34 | 2013 |
| Finding new technological ideas and inventions with text mining and technique philosophy D Thorleuchter Data Analysis, Machine Learning and Applications: Proceedings of the 31st …, 2008 | 32 | 2008 |
| Mining Innovative Ideas to Support new Product Research and Development D Thorleuchter, D Van den Poel, A Prinzie Classification as a Tool for Research, 587-594, 2010 | 31 | 2010 |
| Extraction of Ideas from Microsystems Technology D Thorleuchter, D Van den Poel Advances in Computer Science and Information Engineering 168, 563-568, 2012 | 28 | 2012 |
| Vertrauliche verarbeitung staatlich eingestufter information–die informationstechnologie im Geheimschutz W Gericke, D Thorleuchter, G Weck, F Reiländer, D Loß Informatik-Spektrum 32, 102-109, 2009 | 27 | 2009 |
| Identification of Interdisciplinary Ideas D Thorleuchter, D Van den Poel Information Processing & Management 52 (6), 1074-1085, 2016 | 25 | 2016 |
| Improved Multilevel Security with Latent Semantic Indexing D Thorleuchter, D Van den Poel Expert Systems with Applications 39 (18), 13462–13471, 2012 | 25 | 2012 |
Dirk Van den PoelSenior Full Professor (Gewoon Hoogleraar) Data Analytics, Ghent UniversityEmail yang diverifikasi di ugent.be
