Big Data Applications: Analysis and Solutions

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Related lectures (47)

Distances and Motif Counts Log in to Mediaspace to watch this video

Explores distances on graphs, cut norms, spanning trees, blockmodels, metrics, norms, and ERGMs in network data analysis.

Decision Trees and Random Forests: Concepts and Applications Log in to Mediaspace to watch this video

Discusses decision trees and random forests, focusing on their structure, optimization, and application in regression and classification tasks.

Total scattering and PDF analysis Log in to Mediaspace to watch this video

Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.

Statistical analysis of network data Log in to Mediaspace to watch this video

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.

Knowledge Representation: Semantics and Data Structures Log in to Mediaspace to watch this video

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.

Graph Machine Learning Log in to Mediaspace to watch this video

Delves into graph-enhanced machine learning, focusing on fraud detection, malware detection, and recommendation systems.

Document Analysis: Topic Modeling Log in to Mediaspace to watch this video

Explores document analysis, topic modeling, and generative models for data generation in machine learning.

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