Personal Information
Unternehmen/Arbeitsplatz
Moscow Region, Russian Federation Russian Federation
Beruf
Associate Professor and Research Fellow at HSE
Branche
Education
Webseite
www.hse.ru/en/staff/dima
Info
Open-minded interdisciplinary data scientist, who is inspired by God and people, learns from data and is striving to reach the farthest star of his dreams.
Data Science, Data Mining, Machine Learning, Formal Concept Analysis, Knowledge Discovery, Recommender Systems, Information Retrieval, Graph Mining, Social Network Analysis, Biclustering and Triclustering, Experimental Economics, General Physics etc.
Specialties: CS, Math and Physics [Researcher, Lecturer]
Tags
data mining
formal concept analysis
machine learning
triclustering
pattern mining
concept lattices
demographic sequences
fca
big data
clustering
biclustering
deep learning
boolean tensors
ensemble clustering
consensus clustering
sequence mining
pattern structures
recommender systems
recommender algorithms
boolean matrix factorisation
collaborative filtering
machine learning; recommender systems
triadic data
association rules
community detection
social network analysis
radio recommender
sna
john stuart mill
jsm-method
formal concept
explainability
interpretability
explainable ai
classification
shapley value
interpretable machine learning
computer scince
graph optimization
process mining
computer vision
natural language processing
mdl principle
itemsets that compress
frequent patterns
nature
editing
analysis of images
springer
social networks and texts
computer science
conferences
proceedings
binary relations
multi-way sets
knowledge discovery
sequences of itemsets
frequent sequences
sequential patterns
nips 2016
barcelona
tensor-learn
icdm 2016
ieee icdm
icdm
nips
tensors
formal concepts
triclusters
experimental economics
econometrics
computation economics
galois connection
emergning patterns
frequent itemsets
closed itemsets
lattices
partition lattice
pattern recognition
nlp
game analytics
image analysis
text mining
online algorithms
mapreduce
context-aware recommendations
emerging sequences
emergent patterns
decision trees
raps
slopeone
artificial intelligence
movie recommender
mining web site counters
web advertising
near duplicate detection
apriori
frequent itemset mining
matrix factorization
nmf
svd
bmf
one-pass algorithm
forml concept analysis
trcilustering
singular value decomposition
hybrid recommender system
interactive radio network
information fusion
quality of service
music recommender systems
experimental economics; machine learning; social l
folksomony
graph mining
tensor mining
spectral triclustering
three-way data
trickster
internet advertisment
socio-semantic networks
social networking
social networks analisys
social networks
online radio
music recommender
crowdsourcing
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Personal Information
Unternehmen/Arbeitsplatz
Moscow Region, Russian Federation Russian Federation
Beruf
Associate Professor and Research Fellow at HSE
Branche
Education
Webseite
www.hse.ru/en/staff/dima
Info
Open-minded interdisciplinary data scientist, who is inspired by God and people, learns from data and is striving to reach the farthest star of his dreams.
Data Science, Data Mining, Machine Learning, Formal Concept Analysis, Knowledge Discovery, Recommender Systems, Information Retrieval, Graph Mining, Social Network Analysis, Biclustering and Triclustering, Experimental Economics, General Physics etc.
Specialties: CS, Math and Physics [Researcher, Lecturer]
Tags
data mining
formal concept analysis
machine learning
triclustering
pattern mining
concept lattices
demographic sequences
fca
big data
clustering
biclustering
deep learning
boolean tensors
ensemble clustering
consensus clustering
sequence mining
pattern structures
recommender systems
recommender algorithms
boolean matrix factorisation
collaborative filtering
machine learning; recommender systems
triadic data
association rules
community detection
social network analysis
radio recommender
sna
john stuart mill
jsm-method
formal concept
explainability
interpretability
explainable ai
classification
shapley value
interpretable machine learning
computer scince
graph optimization
process mining
computer vision
natural language processing
mdl principle
itemsets that compress
frequent patterns
nature
editing
analysis of images
springer
social networks and texts
computer science
conferences
proceedings
binary relations
multi-way sets
knowledge discovery
sequences of itemsets
frequent sequences
sequential patterns
nips 2016
barcelona
tensor-learn
icdm 2016
ieee icdm
icdm
nips
tensors
formal concepts
triclusters
experimental economics
econometrics
computation economics
galois connection
emergning patterns
frequent itemsets
closed itemsets
lattices
partition lattice
pattern recognition
nlp
game analytics
image analysis
text mining
online algorithms
mapreduce
context-aware recommendations
emerging sequences
emergent patterns
decision trees
raps
slopeone
artificial intelligence
movie recommender
mining web site counters
web advertising
near duplicate detection
apriori
frequent itemset mining
matrix factorization
nmf
svd
bmf
one-pass algorithm
forml concept analysis
trcilustering
singular value decomposition
hybrid recommender system
interactive radio network
information fusion
quality of service
music recommender systems
experimental economics; machine learning; social l
folksomony
graph mining
tensor mining
spectral triclustering
three-way data
trickster
internet advertisment
socio-semantic networks
social networking
social networks analisys
social networks
online radio
music recommender
crowdsourcing
Mehr anzeigen