Abdelmalek Amine

Abdelmalek Amine received an engineering degree in Computer Science from the Computer Science department of Djillali Liabes University of Sidi-Belabbes-Algeria, received the Magister diploma in Computational Science and PhD from Djillali Liabes University in collaboration with Joseph Fourier University of Grenoble. His research interests include data mining, text mining, ontology, classification, clustering, neural networks, and biomimetic optimization methods. He participates in the program committees of several international conferences and on the editorial boards of international journals. Dr. Amine is the head of GeCoDe-knowledge management and complex data-laboratory at UTM University of Saida, Algeria; he also collaborates with the “knowledge base and database” team of TIMC laboratory at Joseph Fourier University of Grenoble.

Publications

Network Security Technologies: Design and Applications
Network Security Technologies: Design and Applications
Abdelmalek Amine, Otmane Ait Mohamed, Boualem Benatallah. © 2014. 330 pages.
Recent advances in technologies have created a need for solving security problems in a systematic way. With this in mind, network security technologies have been produced in...
A Hybrid Approach Based on Self-Organizing Neural Networks and the K-Nearest Neighbors Method to Study Molecular Similarity
A Hybrid Approach Based on Self-Organizing Neural Networks and the K-Nearest Neighbors Method to Study Molecular Similarity
Abdelmalek Amine, Zakaria Elberrichi, Michel Simonet, Ali Rahmouni. © 2013. 22 pages.
The “Molecular Similarity Principle” states that structurally similar molecules tend to have similar properties—physicochemical and biological. The question then is how to define...
A Hybrid Approach Based on Self-Organizing Neural Networks and the K-Nearest Neighbors Method to Study Molecular Similarity
A Hybrid Approach Based on Self-Organizing Neural Networks and the K-Nearest Neighbors Method to Study Molecular Similarity
Abdelmalek Amine, Zakaria Elberrichi, Michel Simonet, Ali Rahmouni. © 2013. 22 pages.
The “Molecular Similarity Principle” states that structurally similar molecules tend to have similar properties—physicochemical and biological. The question then is how to define...
A Hybrid Approach Based on Self-Organizing Neural Networks and the K-Nearest Neighbors Method to Study Molecular Similarity
A Hybrid Approach Based on Self-Organizing Neural Networks and the K-Nearest Neighbors Method to Study Molecular Similarity
Abdelmalek Amine, Zakaria Elberrichi, Michel Simonet, Ali Rahmouni. © 2011. 21 pages.
The “Molecular Similarity Principle” states that structurally similar molecules tend to have similar properties—physicochemical and biological. The question then is how to define...