Effective algorithms and improved high-volume data analysis techniques

• Main Author: Λιαπάκης, Ξενοφών
• Other Authors: Παυλίδης, Γεώργιος
• Format: Thesis
• Language: English
• Published: 2019
• Subjects: Parallel computing; GPU computing; Special purpose computing; Linear algebra; System solution; Sparse matrices; Eigenvalues; Spectral factorization; Graph mining; Graph resilience; Triangles; Blockchain management; Distributed consensus; Digital transparency; Digital health; Mobile health applications; Insurance market; Computational kernel; Παράλληλη επεξεργασία; Γραμμική άλγεβρα; 005.7

Behind the buzzword big data lays a challenge which is very true and very important both for academia and industry. Efficiently handling an overwhelming volume of data, possibly coming from a large number of sources abiding to vastly different functionality protocols, coding conventions, sampling r...