Browsing by Author "Ouzzani, Mourad"
Now showing items 1-4 of 4
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A service computing manifesto: The next 10 years
Bouguettaya, Athman; Singh, Munindar P.; Huhns, Michael N.; Sheng, Quan Z.; Dong, Hai; Yu, Qi; Neiat, Azadeh Ghari; Mistry, Sajib; Benatallah, Boualem; Medjahed, Brahim; Ouzzani, Mourad; Casati, Fabio; Liu, Xumin; Wang, Hongbing; Georgakopoulos, Dimitrios; Chen, Liang; Nepal, Surya; Malik, Zaki; Erradi, Abdelkarim; Wang, Yan; Blake, Brian; Dustdar, Schahram; Leymann, Frank; Papazoglou, Michael P... more authors ... less authors ( Association for Computing Machinery , 2017 , Article Review)Mapping out the challenges and strategies for the widespread adoption of service computing is an important task. Service computing is a key paradigm that offers cross-disciplinary computational abstractions, architectures, ... -
In-memory distributed matrix computation processing & optimization
Yu, Yongyang; Tang, Mingjie; Aref, Walid G.; Malluhi, Qutaibah M.; Abbas, Mostafa M.; Ouzzani, Mourad... more authors ... less authors ( IEEE Computer Society , 2017 , Conference Paper)The use of large-scale machine learning and data mining methods is becoming ubiquitous in many application domains ranging from business intelligence and bioinformatics to self-driving cars. These methods heavily rely on ... -
Similarity Group-by Operators for Multi-Dimensional Relational Data
Tang, Mingjie; Tahboub, Ruby Y.; Aref, Walid G.; Atallah, Mikhail J.; Malluhi, Qutaibah M.; Ouzzani, Mourad; Silva, Yasin N.... more authors ... less authors ( IEEE Computer Society , 2016 , Conference Paper)The SQL group-by operator plays an important role in summarizing and aggregating large datasets in a data analytics stack. While the standard group-by operator, which is based on equality, is useful in several applications, ... -
The similarity-aware relational intersect database operator
Al Marri, Wadha J.; Malluhi, Qutaibah; Ouzzani, Mourad; Tang, Mingjie; Aref, Walid G. ( Springer International Publishing , 2014 , Conference Paper)Identifying similarities in large datasets is an essential operation in many applications such as bioinformatics, pattern recognition, and data integration. To make the underlying database system similarity-aware, the core ...