Md. Rezaul Karim
Md. Rezaul Karim
Research Scientist at Fraunhofer FIT, Germany
Verified email at - Homepage
TitleCited byYear
Efficient Mining Regularly Frequent Patterns in Transactional databases
HJC MM Rashid, MR Karim, BS Jeong
Database Systems for Advanced Applications, 2012 7238, 258-271, 2012
An Efficient Distributed Programming Model for Mining Useful Patterns in Big Datasets
MR Karim
IETE Technical Review 30 (1), 53-63, 2013
A MapReduce Framework for Mining Maximal Contiguous Frequent Patterns in Large DNA Sequence Datasets
BSJ MR Karim, MA Hossain, MM Rashid
IETE Technical Review 29 (2), 162-168, 2012
Practical Convolutional Neural Networks: Implement Advanced Deep Learning Models Using Python
M Sewak, MR Karim, P Pujari
Packt Publishing Ltd, 2018
Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach
MR Karim, M Cochez, OD Beyan, CF Ahmed, S Decker
Information Sciences 432 (March 2018), 278-300, 2017
Deep Learning with TensorFlow
G Zaccone, MR Karim, A Menshawy
Packt Publishing Limited 1, 1-320, 2017
Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data
A Jha, Y Khan, M Mehdi, MR Karim, Q Mehmood, A Zappa, ...
Journal of biomedical semantics 8 (1), 40, 2017
Improving data workflow systems with cloud services and use of open data for bioinformatics research
MR Karim, A Michel, A Zappa, P Baranov, R Sahay, ...
Briefings in Bioinformatics, 1-16, 2017
Efficient Mining Frequently Correlated, Associated-Correlated and Independent Patterns by Removing Null Transactions
MR Karim
Lecture Notes on Electrical Engineering (LNEE) 182, 93-103, 2012
Predictive Analytics with TensorFlow
MR Karim
Cloud Technology for Mining Association Rules in Microarray Gene Expression Datasets
MR Karim
International Journal of Database Theory and Application (IJDTA) 5 (2), 61-74, 2012
Mining E-shopper’s Purchase Behavior Based on Maximal Frequent Patterns: An E-commerce Perspective
MR Karim
IEEE 3rd International Conference on Information Science and Applications …, 2012
An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases
MR Karim
Journal of Genomics & Informatics 10 (1), 51-57, 2012
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python
G Zaccone, MR Karim
Packt Publishing Ltd, 2018
Scala and Spark for Big Data Analytics
MR Karim, S Alla
Packt Publishing Limited 1, 1-896, 2017
An efficient approach for mining significant contiguous frequent patterns in biological sequences
JB Rashid MM, Karim MR, Hossain MA
3rd International Conference on Emerging Databases (EBD'11), 2011
A Two-Stage Big Data Analytics Framework with Real World Applications Using Spark Machine Learning and Long Short-Term Memory Network
M Khan, M Karim, Y Kim
Symmetry 10 (10), 485, 2018
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala
MR Karim
Packt Publishing Ltd, 2018
Privacy preserving Mining Maximal Frequent Patterns in Transactional Databases
HJC MR Karim, MM Rashid, BS Jeong
Database Systems for Advanced Applications 7238, 258-271, 2012
Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
MR Karim
Packt Publishing Ltd, 2018
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