Duru, Nevcihan; Yildiz, Gurel

In the reassembly processes made with archaeological remains by archaeologists or restorers; the analysis of fragments of the remains, designing the matching assumptions, rehearsing and cross-comparison of these assumptions on the real fragments of the remains, and finally assembling the adjacent fragments according to the proposed reconstruction assumptions are done manually. However, reassembly steps are time-consuming and exhausting because of the large number of parts, wear of the parts and deletion of the patterns and colors on the parts. In this study, an application has been developed that creates the image of the real object by combining digital images of relic objects such as two-dimensional fragmented wall paintings and mosaics, which emerged as a result of archaeological excavations, with the help of using image processing and geometric methods. On the developed application, it has given successful results in recreating the real object image within the specified constraints

İncele

Duru, Nevcihan; Keleş, Ünzüle

Deduplication is a great need in the world of data that is growing rapidly and uncontrolled. Data deduplication is a technique used to eliminate duplicate copies of data in the database or to identify and describe them with an Id. Finding a hotel with a different name and ID in the records in the database of hotels with name, address, agency, and price information does not allow comparison. Competitor analysis can be done completely, knowing competitor price situations and market follow-up is possible by singularization of all these hotel names. The purpose of this study is to identify identical hotels with a single identification number by matching hotel names and to obtain singular data. Various text similarity algorithms are used for deduplication. In this study, Text Similarity algorithms; Hotels were compared in the database over hotel names. Distance edit based similarity, token based similarity, sequence based similarity algorithms and fuzzy string matching algorithms were examined. As a result of the study, a hybrid model in which Fuzzy String Matching algorithm and Jaro Winkler distance are used together is proposed. Model; In the comparison made over the test data set, it gave 94% Accuracy results in the easy data set and 83% Accuracy in the difficult data set.

AtıfOpenAlex4·TR Dizin1

İncele