TY  - BOOK
AU  - Ghada Mohamed Abdelmonem Afify
AU  - Ali Hamed Elbastawissy , 
AU  - Osman Hegazy , 
TI  - Optimizing memory utilization in main-memory cloud database / 
PY  - 2016///
CY  - Cairo : 
PB  - Ghada Mohamed Abdelmonem Afify , 
KW  - Cloud computing
KW  - Cloud storage
KW  - Cloud storage optimization
N1  - Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Information System; Issued also as CD
N2  - A novel hybrid filtering approach (HFA) is introduced, which tracks both tuples and attributes access. A novel algorithm called HC_Apriori is introduced, which adapts the optimized Trie Apriori algorithm, employing a new optimization measure. The objective is to enhance the performance in terms of two metrics: Storage space and execution time. Real-world popular data mining datasets were used: Mushroom, chess, connect and accidents. Finally, the efficiency of the proposed HC_Apriori algorithm in optimizing memory utilization is proved in azure cloud environment
UR  - http://172.23.153.220/th.pdf
ER  -