Novelty Framework for Knowledge Discovery in Databases. - Ahmed Sultan Al-Hegami; Vasudha Bhatnagar; Naveen Kumar 001 (DaWaK, 2004)

A Hybrid Approach for Quantification of Novelty in Rule Discovery. - Vasudha Bhatnagar; Ahmed Sultan Al-Hegami; Naveen Kumar 001 (WEC (2), 2005)

On the Discovery of Interesting Patterns from Evolving Spatial Data Mining Environments. - Ahmed Sultan Al-Hegami; Harleen Kaur (IMECS, 2006)

A Unified Approach for Discovery of Interesting Association Rules in Medical Databases. - Harleen Kaur; Siri Krishan Wasan; Ahmed Sultan Al-Hegami; Vasudha Bhatnagar (ICDM, 2006)

Pruning based interestingness of mined classification patterns. - Ahmed Sultan Al-Hegami (Int. Arab J. Inf. Technol., 2009)

YAMI: Incremental Mining of Interesting Association Patterns. - Eiad Yafi; Ahmed Sultan Al-Hegami; Mohd. Afshar Alam; Ranjit Biswas (Int. Arab J. Inf. Technol., 2012)

A Framework for Incremental Parallel Mining of Interesting Association Patterns for Big Data. - Ahmed Sultan Alhegami; Hussein Alkhader Alsaeedi (Int. J. Comput., 2020)

An Incremental Interesting Maximal Frequent Itemset Mining Based on FP-Growth Algorithm. - Hussein Alkhader Alsaeedi; Ahmed Sultan Alhegami (Complex., 2022)