DC Field | Value | Language |
dc.contributor.author | CHELLALI, MOhammed Morchid | - |
dc.date.accessioned | 2022-04-13T09:38:56Z | - |
dc.date.available | 2022-04-13T09:38:56Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | https://repository.esi-sba.dz/jspui/handle/123456789/206 | - |
dc.description | M.Hichem Badsi Supervisor | en_US |
dc.description.abstract | In any industry today, an important amount of data resides in
Spreadsheets. The
exibility and ease Spreadsheet applications
o er are one of the many factors that pushed them to the front.
Organizations in today's era are in the need to migrate to better
systems, to take advantage of the current technology in
order to better consume data.
To move this extensive data to a relational database for instance,
is no easy task, as it requires labour work.
Spreadsheets in their nature follow no de ned structure and
can be very arbitrary. In the pursuit of an automatic approach,
organizations face complex challenges regarding layout
inference.
In this thesis, we will go through several approaches regarding
this single task: Layout Inference and Table Recognition in
Spreadsheets. | en_US |
dc.language.iso | en | en_US |
dc.title | Layout Inference and Table Recognition in Spreadsheets | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Master
|