Heba Mohammed Fadhil
High Performance Clustering to Improve Data Mining Techniques
An increasing amount of data is approaching into existence each day and power to process this data calls for cluster computers which are a set of a computer that operates together, only to be viewed as a single computer, to process and compute data. People are pretty dependent on computers and their computational power more and more every day. As a consequence, those outcomes need to be accurate and be calculated fast. Parallel computing is a more rapid way to process instructions by breaking the large task into smaller tasks using an organized effort to process data simultaneously. Data clustering has been confirmed to be a favorable data mining technique. Recently, there have been various attempts for clustering data mining algorithms. For that reason, Cluster computing is used to create redundancy in a computer network to ensure that it will regularly be to be had and that it’s going to not fail.
Data clustering; data mining; Parallel Programming; High Performance.
Heba M. Fadhil was born in Baghdad, Iraq, in 1984. She received the B.E. Degree in Computer Engineering from AL-Mustansryia University, Iraq, in 2006, and the Master Degree in Computer Engineering from the University of Baghdad, College of Engineering, Baghdad, Iraq, in 2014. In 2006, she joined the Department of Information and Communication, Al-Khwarizmi College of Engineering, University of Baghdad. Her current research interests include cryptography algorithms, parallel processing, operating systems, data structures, big data, artificial intelligence and image processing. Miss Fadhil is a fellow member of the Association for Computing Machinery (ACM) and the International Association for the Engineers; also she is editorial board member of the International Journal of Applied Science and Technology Research Excellence, and she is a Reviewer in the Journal of Computer Science, Peer-to-Peer Networking and Applications , International Journal of Engineering Research and Technology (IJERT), ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB), International Journal of New Computer Architectures and their Applications, Circulation in Computer Science Journal.