Personal Information
Unternehmen/Arbeitsplatz
London, United Kingdom United Kingdom
Beruf
Research Scientist
Branche
Technology / Software / Internet
Webseite
www.matthew-rowe.com
Info
Specialties: Data mining, data sciences, machine learning, social computing, statistics.
Tags
social web
semantic web
online communities
social media
behaviour
prediction
data mining
rdf
machine learning
identity
social networks
social computing
social data
digital identity
recommender systems
user evolution
churn prediction
ontologies
statistics
computer science
psychology
behavior
social network
forecasting
web science
graphs
rules
sparql
linked data
disambiguation
inference rules
big data
apache spark
hdfs
user modelling
matrix factorisation
community evolution
influence
#icdm2013
attention
community health
regression
sioc
foaf
collaborative environments
analysis
communities
activity
discussions
rdfa
machine le
eswc2011
visualisation
interlinking
citations
user study
information credibility
uris
hidden markov models
triplification
legacy data
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Präsentationen
(28)Gefällt mir
(5)Tackling a 1 billion member social network
Artur Bańkowski
•
Vor 8 Jahren
Making More Sense Out of Social Data
The Open University
•
Vor 9 Jahren
Leveraging the Power of Social Media
Leon Derczynski
•
Vor 9 Jahren
Assessing Army Professional Forums - Metrics for Effectiveness and Impact
Dan Elder, MS
•
Vor 12 Jahren
Stream Reasoning: State of the Art and Beyond
Emanuele Della Valle
•
Vor 11 Jahren
Personal Information
Unternehmen/Arbeitsplatz
London, United Kingdom United Kingdom
Beruf
Research Scientist
Branche
Technology / Software / Internet
Webseite
www.matthew-rowe.com
Info
Specialties: Data mining, data sciences, machine learning, social computing, statistics.
Tags
social web
semantic web
online communities
social media
behaviour
prediction
data mining
rdf
machine learning
identity
social networks
social computing
social data
digital identity
recommender systems
user evolution
churn prediction
ontologies
statistics
computer science
psychology
behavior
social network
forecasting
web science
graphs
rules
sparql
linked data
disambiguation
inference rules
big data
apache spark
hdfs
user modelling
matrix factorisation
community evolution
influence
#icdm2013
attention
community health
regression
sioc
foaf
collaborative environments
analysis
communities
activity
discussions
rdfa
machine le
eswc2011
visualisation
interlinking
citations
user study
information credibility
uris
hidden markov models
triplification
legacy data
Mehr anzeigen