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Amit Rudra
Amit Rudra
Unknown affiliation
Verified email at curtin.edu.au
Title
Cited by
Cited by
Year
A framework for understanding the critical success factors of enterprise business intelligence implementation
D Mungree, A Rudra, D Morien
662013
Key issues in achieving data quality and consistency in data warehousing among large organisations in Australia
A Rudra, E Yeo
Proceedings of the 32nd Annual Hawaii International Conference on Systems …, 1999
451999
Issues in user perceptions of data quality and satisfaction in using a data warehouse-an Australian experience
A Rudra, E Yeo
Proceedings of the 33rd Annual Hawaii International Conference on System …, 2000
332000
Virtual team role play using Second Life for teaching business process concepts
A Rudra, B Jaeger, A Aitken, V Chang, B Helgheim
2011 44th Hawaii international conference on system sciences, 1-8, 2011
322011
Roles of multidimensionality and granularity in warehousing Australian resources data
A Rudra, SL Nimmagadda
Proceedings of the 38th Annual Hawaii International Conference on System …, 2005
302005
Social big data analytics
B Abu-Salih, P Wongthongtham, D Zhu, KY Chan, A Rudra
Springer Singapore., 2021
192021
Teaching business process management in cross-country collaborative teams using ERP
B Jaeger, A Rudra, A Aitken, V Chang, B Helgheim
Proceedings of the 10th European conference on information systems, 2011
142011
Ontology of Western Australian petroleum exploration data for effective data warehouse design and data mining
SL Nimmagadda, H Dreher, A Rudra
Proceedings of 3rd international IEEE conference on Industrial Informatics, 2005
142005
Efficiently mining frequent patterns from dense datasets using a cluster of computers
YG Sucahyo, RP Gopalan, A Rudra
Australasian Joint Conference on Artificial Intelligence, 233-244, 2003
142003
Bridging the knowing-doing gap in global supply chain education
B Jæger, A Rudra, A Aitken, V Chang, BI Helgheim
Communications of the Association for Information Systems 36 (1), 21, 2015
112015
Data Sources and Requirements Analysis for Multidimensional Database Modeling–an Australian Resources Industries Scenario
SL Nimmagadda, A Rudra
Cit 2004: Proceedings Of The 7th International Conference On Information …, 2004
112004
Teaching business process concepts using enterprise systems in a globalized context
B Jaeger, A Rudra, A Aitken, V Chang, B Helgheim
2010 43rd Hawaii International Conference on System Sciences, 1-10, 2010
102010
Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources
SL Nimmagadda, H Dreher, A Rudra
INDIN'05. 2005 3rd IEEE International Conference on Industrial Informatics …, 2005
102005
Applicability of data warehousing and data mining technologies in the Australian resources industry
SL Nimmagadda, A Rudra
Proceedings of 7th International Conference on Information Technology, 20-23, 2004
102004
Introduction to big data technology
B Abu-Salih, P Wongthongtham, D Zhu, KY Chan, A Rudra, B Abu-Salih, ...
Social Big Data Analytics: Practices, Techniques, and Applications, 15-59, 2021
92021
Impact of Nepotism on the Human Resources Component of ERP Systems Implementation in Lebanon
A Ayoub, V Potdar, A Rudra, H Luong
Big Data and Security: First International Conference, ICBDS 2019, Nanjing …, 2020
92020
Exploring virtual world innovations and design through learner voices
S Gregory, B Gregory, S Grant, M McDonald, S Nikolic, H Farley, ...
Show me the learning: Proceedings of ASCILITE 2016: 33rd International …, 2016
82016
The Impact of Organizational Culture on the Internal Controls Components of Accounting Information Systems in the City of Beirut, Lebanon
A Ayoub, V Potdar, A Rudra, H Luong
Big Data and Security: First International Conference, ICBDS 2019, Nanjing …, 2020
72020
An upstream business data science in a big data perspective
SL Nimmagadda, T Reiners, A Rudra
Procedia computer science 112, 1881-1890, 2017
72017
Social big data: An overview and applications
B Abu-Salih, P Wongthongtham, D Zhu, KY Chan, A Rudra, B Abu-Salih, ...
Social Big Data Analytics: Practices, Techniques, and Applications, 1-14, 2021
62021
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