dc.contributor.author |
Hseiki, Hussam Amin |
dc.date.accessioned |
2012-06-13T07:10:24Z |
dc.date.available |
2012-06-13T07:10:24Z |
dc.date.issued |
2007 |
dc.identifier.uri |
http://hdl.handle.net/10938/7381 |
dc.description |
Thesis (M.E.)--American University of Beirut, Dept. of Electrical and Computer Engineering, 2007.;"Advisor: Dr. Hassan Artail, Associate Professor, Electrical and Computer Engineering--Member of Committee: Dr. Karim Kabalan, Professor, Electrical and Comp |
dc.description |
Bibliography : leaves 61-62. |
dc.description.abstract |
The rapid increase in generating and collecting data with high resolution and re cording frequency due to the availability and affordability of measurement techn ology is resulting in huge data archives that are growing exponentially in size. This explosi |
dc.format.extent |
xi, 62 leaves : ill. 30 cm. |
dc.language.iso |
eng |
dc.relation.ispartof |
Theses, Dissertations, and Projects |
dc.subject.classification |
ET:004954 AUBNO |
dc.subject.lcsh |
Wavelets (Mathematics) |
dc.subject.lcsh |
Data structures (Computer science) |
dc.subject.lcsh |
Information storage and retrieval systems |
dc.subject.lcsh |
Data mining |
dc.title |
An adaptive hierarchical data structure for improving search into data archives - by Hussam Amin Hseiki |
dc.type |
Thesis |
dc.contributor.department |
American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering |