| Advances in Data Mining: Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July … P Perner Springer Science & Business Media, 2006 | 30* | 2006 |
| YAMI: Incremental Mining of Interesting Association Patterns. E Yafi, AS Al-Hegami, Mohd. Afshar Alam, R Biswas Int. Arab J. Inf. Technol. 9 (6), 504-510, 2012 | 27 | 2012 |
| Classical and incremental classification in data mining process AS Al-Hegami Int. J. Comput. Sci. Netw. Security 7 (12), 179-187, 2007 | 27 | 2007 |
| Novelty framework for knowledge discovery in databases AS Al-Hegami, V Bhatnagar, N Kumar Data Warehousing and Knowledge Discovery: 6th International Conference …, 2004 | 24 | 2004 |
| Novelty as a measure of interestingness in knowledge discovery V Bhatnagar, AS Al-Hegami, N Kumar International Journal of Computer and Information Engineering 2 (9), 3268-3273, 2008 | 19 | 2008 |
| A biomedical named entity recognition using machine learning classifiers and rich feature set AS Al-Hegami, AMF Othman, FT Bagash International Journal of Computer Science and Network Security (IJCSNS) 17 …, 2017 | 18 | 2017 |
| A unified approach for discovery of interesting association rules in medical databases H Kaur, SK Wasan, AS Al-Hegami, V Bhatnagar Advances in Data Mining. Applications in Medicine, Web Mining, Marketing …, 2006 | 18 | 2006 |
| Incremental mining of shocking association patterns E Yafi, AS Al-Hegami, MA Alam, R Biswas Proceedings of World Academy of Science, Engineering and Technology 37, 2009 | 12 | 2009 |
| Subjective measures and their role in data mining process AS Al-Hegami Proceedings of the 6th International Conference on Cognitive Systems, New …, 2004 | 12 | 2004 |
| An Incremental Interesting Maximal Frequent Itemset Mining Based on FP‐Growth Algorithm HA Alsaeedi, AS Alhegami Complexity 2022 (1), 1942517, 2022 | 11 | 2022 |
| A Hybrid Approach for Quantification of Novelty in Rule Discovery. V Bhatnagar, AS Al-Hegami, N Kumar WEC (2), 39-42, 2005 | 11 | 2005 |
| A framework for incremental parallel mining of interesting association patterns for big data AS Alhegami, HA Alsaeedi International Journal of Computing 19 (1), 106-117, 2020 | 9 | 2020 |
| A particle swarm based approach for classification of cancer based on CT scan AS Al-Hegami, ASH Bin-Ghodel Int. J. Comput. Applic 178, 2019 | 5 | 2019 |
| An ontology framework based on web usage mining AS Al-Hegami, MS Kaity Int J Appl Inf Syst 6 (9), 28-35, 2014 | 5 | 2014 |
| Pushing novelty criterion into incremental mining algorithm AS Al-Hegami International Journal of Computer Science and Network Security 7, 45-53, 2007 | 5 | 2007 |
| A Model for Measuring the Effect of Splitting Data Method on the Efficiency of Machine Learning Models: A Comparative Study AA Shujaaddeen, FM Ba -Alwi, AT Zahary, AS Alhegami esmart 2024, 2024 | 3 | 2024 |
| Data Mining Techniques for Mining Query Logs in Web Search Engines AS Al-Hegami, H Al-Omaisi IJCSN International Journal of Computer Science and Network 6 (2), 237-253, 2017 | 3 | 2017 |
| Pruning based interestingness of mined classification patterns. AS Al-Hegami Int. Arab J. Inf. Technol. 6 (4), 336-343, 2009 | 3 | 2009 |
| A framework for incremental mining of interesting temporal association rules AS Al-Hegami International Journal of Computer Applications 131 (8), 28-33, 2015 | 2 | 2015 |
| Using nested tables and mutation in genetic algorithms (NTMGA) to solve timetabling problem in object-relational model AS Al-Hegami, W Al-Qubati, A Zahary International Journal of Computer Applications 54 (9), 2012 | 1 | 2012 |
vasudha bhatnagarProfessor, Deptt of Computer Science, University of Delhi, Delhi, IndiaE-mailová adresa ověřena na: cs.du.ac.in