Personal Information
Organization / Workplace
Moscow Region, Russian Federation Russian Federation
Occupation
Associate Professor and Research Fellow at HSE
Industry
Education
Website
www.hse.ru/en/staff/dima
About
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
concept lattices
pattern mining
biclustering
clustering
big data
fca
demographic sequences
machine learning; recommender systems
collaborative filtering
boolean tensors
boolean matrix factorisation
recommender algorithms
ensemble clustering
triadic data
consensus clustering
deep learning
association rules
recommender systems
sequence mining
sna
community detection
social network analysis
pattern structures
radio recommender
artificial intelligence
singular value decomposition
movie recommender
mining web site counters
trcilustering
web advertising
near duplicate detection
apriori
classification
forml concept analysis
one-pass algorithm
shapley value
bmf
svd
nmf
matrix factorization
frequent itemset mining
john stuart mill
jsm-method
crowdsourcing
formal concept
music recommender
online radio
social networks
explainability
interpretability
explainable ai
social networks analisys
social networking
socio-semantic networks
internet advertisment
trickster
three-way data
spectral triclustering
tensor mining
graph mining
folksomony
experimental economics; machine learning; social l
music recommender systems
quality of service
information fusion
interactive radio network
hybrid recommender system
tensors
nips
icdm
ieee icdm
icdm 2016
tensor-learn
barcelona
nips 2016
sequential patterns
frequent sequences
sequences of itemsets
knowledge discovery
multi-way sets
binary relations
proceedings
conferences
computer science
social networks and texts
springer
analysis of images
editing
nature
frequent patterns
itemsets that compress
mdl principle
natural language processing
computer vision
slopeone
raps
interpretable machine learning
decision trees
emergent patterns
emerging sequences
computer scince
graph optimization
context-aware recommendations
mapreduce
online algorithms
text mining
image analysis
game analytics
nlp
pattern recognition
partition lattice
lattices
closed itemsets
frequent itemsets
emergning patterns
galois connection
computation economics
econometrics
experimental economics
triclusters
formal concepts
process mining
See more
Presentations
(30)Likes
(16)Replicable Evaluation of Recommender Systems
Alejandro Bellogin
•
9 years ago
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
10 years ago
Modern arch neznanov_2015_05_14
Alexey Neznanov
•
10 years ago
Exploring Generative Models of Tripartite Graphs for Recommendation in Social Media
Charalampos Chelmis
•
12 years ago
A Unified Music Recommender System Using Listening Habits and Semantics of Tags
datasciencekorea
•
12 years ago
Opiner
Ilia Chetviorkin
•
10 years ago
Olfamining: caractériserisation des qualités d'odeurs
INSA Lyon - L'Institut National des Sciences Appliquées de Lyon
•
10 years ago
Data Scientists
Leonid Zhukov
•
11 years ago
Big Data at Ancestry.com
Leonid Zhukov
•
11 years ago
Similarity Measures for Semantic Relation Extraction
Alexander Panchenko
•
11 years ago
Triggering patterns of topology changes in dynamic attributed graphs
INSA Lyon - L'Institut National des Sciences Appliquées de Lyon
•
10 years ago
Nlp Seminar - Writing and publishing scientific papers
Natalia Konstantinova
•
11 years ago
Academic writing - publishing in international journals and conferences
Natalia Konstantinova
•
11 years ago
Dialogue systems and personal assistants
Natalia Konstantinova
•
11 years ago
Стимулирование роста публикаций: пределы возможного
Marcus Akoev
•
12 years ago
Analysing Online Social Network Data with Biclustering and Triclustering
Alexander Semeonov
•
13 years ago
Personal Information
Organization / Workplace
Moscow Region, Russian Federation Russian Federation
Occupation
Associate Professor and Research Fellow at HSE
Industry
Education
Website
www.hse.ru/en/staff/dima
About
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
concept lattices
pattern mining
biclustering
clustering
big data
fca
demographic sequences
machine learning; recommender systems
collaborative filtering
boolean tensors
boolean matrix factorisation
recommender algorithms
ensemble clustering
triadic data
consensus clustering
deep learning
association rules
recommender systems
sequence mining
sna
community detection
social network analysis
pattern structures
radio recommender
artificial intelligence
singular value decomposition
movie recommender
mining web site counters
trcilustering
web advertising
near duplicate detection
apriori
classification
forml concept analysis
one-pass algorithm
shapley value
bmf
svd
nmf
matrix factorization
frequent itemset mining
john stuart mill
jsm-method
crowdsourcing
formal concept
music recommender
online radio
social networks
explainability
interpretability
explainable ai
social networks analisys
social networking
socio-semantic networks
internet advertisment
trickster
three-way data
spectral triclustering
tensor mining
graph mining
folksomony
experimental economics; machine learning; social l
music recommender systems
quality of service
information fusion
interactive radio network
hybrid recommender system
tensors
nips
icdm
ieee icdm
icdm 2016
tensor-learn
barcelona
nips 2016
sequential patterns
frequent sequences
sequences of itemsets
knowledge discovery
multi-way sets
binary relations
proceedings
conferences
computer science
social networks and texts
springer
analysis of images
editing
nature
frequent patterns
itemsets that compress
mdl principle
natural language processing
computer vision
slopeone
raps
interpretable machine learning
decision trees
emergent patterns
emerging sequences
computer scince
graph optimization
context-aware recommendations
mapreduce
online algorithms
text mining
image analysis
game analytics
nlp
pattern recognition
partition lattice
lattices
closed itemsets
frequent itemsets
emergning patterns
galois connection
computation economics
econometrics
experimental economics
triclusters
formal concepts
process mining
See more