Graph-based dimensionality reduction (DR) methods have been applied successfully in
many practical problems, such as face recognition, where graphs play a crucial role in …

Scaling up data mining algorithms for data of both high dimensionality and cardinality has
been lately recognized as one of the most challenging problems in data mining research …

Data mining tasks results are usually improved by reducing the dimensionality of data. This
improvement however is achieved harder in the case that data lay on a non linear manifold …

Η παρούσα διπλωματική εργασία έχει ως κύριο θεματικό άξονα την Ανάλυση Συναισθήματος
για δεδομένα που προέρχονται από το κοινωνικό δίκτυο Twitter. Με τον όρο «ανάλυση …

An increasing number of contemporary applications produce massive volumes of very high
dimensional data. In scientific databases, for example, it is common to encounter large sets …