@phdthesis{alborzi:tel-01792299, TITLE = {{Automatic Discovery of Hidden Associations Using Vector Similarity : Application to Biological Annotation Prediction}}, AUTHOR = {Alborzi, Seyed Ziaeddin}, URL = {https://theses.hal.science/tel-01792299}, NUMBER = {2018LORR0035}, SCHOOL = {{Universit{\'e} de Lorraine}}, YEAR = {2018}, MONTH = Feb, KEYWORDS = {Biological databases ; Protein domains ; Functional annotation of proteins ; Domain-domain interactions ; Vector similarity ; Association rules ; Tripartite graphs ; R{\`e}gles d'associations ; Bases de donn{\'e}es biologiques ; Domaines prot{\'e}iques ; Annotation fonctionnelle des prot{\'e}ines ; Interactions domaine-domaine ; Similarit{\'e} vectorielle ; Graphes tripartites}, TYPE = {Theses}, PDF = {https://theses.hal.science/tel-01792299/file/DDOC_T_2018_0035_ALBORZI.pdf}, HAL_ID = {tel-01792299}, HAL_VERSION = {v1}, }