Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Data warehousing systems integrate information from operational data sources into a central repository to enable analysis and mining of the integrated information. During the integ...
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali...
The management of reservoir simulation models has been an important need of engineers in petroleum industry. However, due to data sharing among reservoir simulation models, data r...
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...