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Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather
than classical IID distribution. To address the interdependency among data instances …
than classical IID distribution. To address the interdependency among data instances …
Data mining in social media
The rise of online social media is providing a wealth of social network data. Data mining
techniques provide researchers and practitioners the tools needed to analyze large …
techniques provide researchers and practitioners the tools needed to analyze large …
Large scale multi-label classification via metalabeler
The explosion of online content has made the management of such content non-trivial. Web-
related tasks such as web page categorization, news filtering, query categorization, tag …
related tasks such as web page categorization, news filtering, query categorization, tag …
Graph mining applications to social network analysis
The prosperity of Web 2.0 and social media brings about many diverse social networks of
unprecedented scales, which present new challenges for more effec-tive graph-mining …
unprecedented scales, which present new challenges for more effec-tive graph-mining …
Uncoverning groups via heterogeneous interaction analysis
With the pervasive availability of Web 2.0 and social networking sites, people can interact
with each other easily through various social media. For instance, popular sites like Del. icio …
with each other easily through various social media. For instance, popular sites like Del. icio …
[HTML][HTML] Navigating the Digital Public Sphere: An AI-Driven Analysis of Interaction Dynamics across Societal Domains
The increasingly digital nature of modern societies necessitates continually examining how
individuals interact in the public sphere. This systematic literature review comprehensively …
individuals interact in the public sphere. This systematic literature review comprehensively …
Advanced topic modeling for social business intelligence
Social business intelligence combines corporate data with user-generated content (UGC) to
make decision-makers aware of the trends perceived from the environment. A key role in the …
make decision-makers aware of the trends perceived from the environment. A key role in the …
Community detection in multidimensional networks
The paper proposes a new approach to detect shared community structure in
multidimensional networks based on the combination of multiobjective genetic algorithms …
multidimensional networks based on the combination of multiobjective genetic algorithms …
Evolution of data mining: An overview
M Ramzan, M Ahmad - 2014 Conference on IT in Business …, 2014 - ieeexplore.ieee.org
Knowledge has played a significant role in every sphere of human life. To acquire
knowledge we have to analyze the unlimited data that is available to us in various formats in …
knowledge we have to analyze the unlimited data that is available to us in various formats in …
A new approach for detection of common communities in a social network using graph mining techniques
Community effect and inter community communication and relationship is one of the
important aspects of social network analysis. Studying community detection and analyzing …
important aspects of social network analysis. Studying community detection and analyzing …