Εξόρυξη γνώσης από Βάσεις Δεδομένων και τον Παγκόσμιο Ιστό - Open Courses (INF108)

Ενότητες

Unsupervised Learning (Cluster... Web Mining
Community Detection and Evaluation in Social and Information Networks

Εισαγωγή και εξοικείωση με τις μεθόδους Introduction & Motivation, Community evaluation measures, Graph clustering algorithms, Alternative Methods for Community Evaluation, New directions for research in the area of graph mining.

Λέξεις κλειδιά: Networks, Social Networks, Community Detection, World Wide Web, Metabolic networks, intra-clusters,  inter-clusters, Notation, Evaluation based on internal connectivity, Evaluation based on external connectivity, Evaluation based on network model, Observation, Graph-Cut, Min-Cut, Graph Laplacian, Ratio Cut, Normalized Cut, Modularity, Newman-Girvan algorithm, optimization, Resolution Limit, conductance, Network Community Profile (NCP), Core-periphery, Jellyfish model, Robustness, K-core, DBLP K-cores, Wikipedia, S-cores, CoreCluster framework, Scalability

Διαφάνειες διαλέξεων

Ενότητα 5: Community Detection and Evaluation
Ενότητα 5: Community Detection and Evaluation

Βιντεοδιαλέξεις

Ενότητα 5: Μέρος 1
Ενότητα 5: Μέρος 2
Ενότητα 5: Μέρος 3