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1Siren - Interactive and visual redescription mining — Siren - Interactive Redescription Mining
http://cs.uef.fi/siren/main/index.html
3 years ago by @becker
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siren
redescription
mining
data
subgroup
clired
python
geospatial
geo
spatial
redescriptions
interactive
py
sirenredescriptionminingdatasubgroupcliredpythongeospatialgeospatialredescriptionsinteractivepy
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1Introduction to Redescription Mining - A Tutorial
http://siren.mpi-inf.mpg.de/tutorial_sdm2017/main/RMTutorialSDM17_slides.pdf
3 years ago by @becker
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redescription
mining
tutorial
slides
pattern
subgroups
subgroup
exceptional
model
emm
redescriptionminingtutorialslidespatternsubgroupssubgroupexceptionalmodelemm
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1The Power of Saying “I don’t know”—An Introduction to Subgroup Discovery and Local Modeling | realKD
Nice illustration why local models may make sense to pay attention to.
3 years ago by @becker
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discovery
explain
explainable
explanation
local
mining
pattern
subgroup
subgroups
uncertainty
example
illustration
discoveryexplainexplainableexplanationlocalminingpatternsubgroupsubgroupsuncertaintyexampleillustration
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2CORNELL CS4780 "Machine Learning for Intelligent Systems" - YouTube
https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS
3 years ago by @becker
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boosting
lecture
machine
learning
data
mining
science
course
weinberger
kilian
boostinglecturemachinelearningdataminingsciencecourseweinbergerkilian
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119: Boosting
https://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote19.html
3 years ago by @becker
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boosting
lecture
machine
learning
data
mining
science
course
weinberger
kilian
boostinglecturemachinelearningdataminingsciencecourseweinbergerkilian
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1Large scale correlation mining: fundamental performance limits
http://web.eecs.umich.edu/~hero/Preprints/hero_duke_SAHD15.pdf
3 years ago by @becker
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correlation
mining
estimation
statistical
test
paper:fastcor
correlationminingestimationstatisticaltestpaper:fastcor
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2Statistical Significance Tests for Comparing Machine Learning Algorithms
https://machinelearningmastery.com/statistical-significance-tests-for-comparing-machine-learning-algorithms/
4 years ago by @becker
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statistical
significance
test
testing
hypothesis
comparison
machine
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mining
science
cross
validation
statisticalsignificancetesttestinghypothesiscomparisonmachinelearningdataminingsciencecrossvalidation
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1arvkevi/kneed: Knee point detection in Python
https://github.com/arvkevi/kneed
4 years ago by @becker
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elbow
plot
method
clustering
number
of
clusters
cluster
python
data
science
mining
machine
learning
knee
kneed
kneedle
elbowplotmethodclusteringnumberofclustersclusterpythondatascienceminingmachinelearningkneekneedkneedle
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1machine learning - Getting a low ROC AUC score but a high accuracy - Stack Overflow
https://stackoverflow.com/questions/47104129/getting-a-low-roc-auc-score-but-a-high-accuracy/47111246#47111246
4 years ago by @becker
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machine
learning
auc
acc
roc
data
mining
science
ml
accuracy
precision
recall
evaluation
metric
metrics
comparison
machinelearningaucaccrocdataminingsciencemlaccuracyprecisionrecallevaluationmetricmetricscomparison
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1CART-based approach to discover emerging patterns in microarray data | Bioinformatics | Oxford Academic
https://academic.oup.com/bioinformatics/article/19/18/2465/194662
5 years ago by @becker
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fisher
exact
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fischers
subgroup
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asd
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1Hidden stratification causes clinically meaningful failures in machine learning for medical imaging
L. Oakden-Rayner, J. Dunnmon, G. Carneiro, and C. Ré. Proceedings of the ACM conference on health, inference, and learning, page 151--159. (2020)
11 months ago by @becker
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hidden
stratification
subgroup
machine
learning
failure
pattern
mining
citedby:scholar:count:243
citedby:scholar:timestamp:2023-5-31
hiddenstratificationsubgroupmachinelearningfailurepatternminingcitedby:scholar:count:243citedby:scholar:timestamp:2023-5-31
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2Uni-and multivariate probability density models for numeric subgroup discovery
M. Meeng, H. de Vries, P. Flach, S. Nijssen, and A. Knobbe. Intelligent Data Analysis, 24 (6): 1403--1439 (2020)
2 years ago by @becker
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probability
density
multivariate
subgroup
discovery
exceptional
model
mining
numeric
target
citedby:scholar:count:5
citedby:scholar:timestamp:2022-5-24
probabilitydensitymultivariatesubgroupdiscoveryexceptionalmodelminingnumerictargetcitedby:scholar:count:5citedby:scholar:timestamp:2022-5-24
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3Drum: End-to-end differentiable rule mining on knowledge graphs
A. Sadeghian, M. Armandpour, P. Ding, and D. Wang. Advances in Neural Information Processing Systems, (2019)
2 years ago by @becker
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endtoend
drum
rule
mining
knowledge
graph
citedby:scholar:count:73
citedby:scholar:timestamp:2022-5-11
endtoenddrumruleminingknowledgegraphcitedby:scholar:count:73citedby:scholar:timestamp:2022-5-11
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1Integrated intra-and intercellular signaling knowledge for multicellular omics analysis
D. Türei, A. Valdeolivas, L. Gul, N. Palacio-Escat, M. Klein, O. Ivanova, M. Ölbei, A. Gábor, F. Theis, D. Módos and 1 other author(s). Molecular systems biology, 17 (3): e9923 (2021)
2 years ago by @becker
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background
cell
cells
citedby:scholar:count:35
citedby:scholar:timestamp:2022-2-23
cytokines
database
immune
knowledge
mining
network
networks
project:iti-single-cell
pubmed
system
text
backgroundcellcellscitedby:scholar:count:35citedby:scholar:timestamp:2022-2-23cytokinesdatabaseimmuneknowledgeminingnetworknetworksproject:iti-single-cellpubmedsystemtext
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1Immune-centric network of cytokines and cells in disease context identified by computational mining of PubMed
K. Kveler, E. Starosvetsky, A. Ziv-Kenet, Y. Kalugny, Y. Gorelik, G. Shalev-Malul, N. Aizenbud-Reshef, T. Dubovik, M. Briller, J. Campbell and 1 other author(s). Nature biotechnology, 36 (7): 651--659 (2018)
2 years ago by @becker
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background
cell
cells
citedby:scholar:count:51
citedby:scholar:timestamp:2022-2-23
cytokines
database
immune
knowledge
mining
network
networks
project:iti-single-cell
pubmed
system
text
backgroundcellcellscitedby:scholar:count:51citedby:scholar:timestamp:2022-2-23cytokinesdatabaseimmuneknowledgeminingnetworknetworksproject:iti-single-cellpubmedsystemtext
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1Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions
R. Schouten, M. Bueno, W. Duivesteijn, and M. Pechenizkiy. Data Mining and Knowledge Discovery, (2021)
2 years ago by @becker
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subgroup
discovery
emm
exceptional
model
mining
sequence
sequences
markov
higher
order
wouter
transition
behavior
subgroupdiscoveryemmexceptionalmodelminingsequencesequencesmarkovhigherorderwoutertransitionbehavior
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1Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing
M. Del Jesus, P. González, F. Herrera, and M. Mesonero. IEEE Transactions on Fuzzy Systems, 15 (4): 578--592 (2007)
3 years ago by @becker
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project:bmbf
fuzzy
subgroup
discovery
rule
mining
citedby:scholar:count:141
citedby:scholar:timestamp:2021-7-25
project:bmbffuzzysubgroupdiscoveryruleminingcitedby:scholar:count:141citedby:scholar:timestamp:2021-7-25
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1Contrast set mining for distinguishing between similar diseases
P. Kralj, N. Lavrac, D. Gamberger, and A. Krstacić. Conference on Artificial Intelligence in Medicine in Europe, page 109--118. Springer, (2007)
3 years ago by @becker
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project:bmbf
contrast
set
mining
citedby:scholar:count:32
citedby:scholar:timestamp:2021-7-25
project:bmbfcontrastsetminingcitedby:scholar:count:32citedby:scholar:timestamp:2021-7-25
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3Anytime subgroup discovery in numerical domains with guarantees
A. Belfodil, A. Belfodil, and M. Kaytoue. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, page 500--516. Springer, (2018)
3 years ago by @becker
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efficient
subgroup
mining
algorithm
emm
exceptional
model
subgroups
progress
iterative
citedby:scholar:count:15
citedby:scholar:timestamp:2021-7-7
efficientsubgroupminingalgorithmemmexceptionalmodelsubgroupsprogressiterativecitedby:scholar:count:15citedby:scholar:timestamp:2021-7-7
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2Mining Formal Concepts using Implications between Items
A. Belfodil, A. Belfodil, and M. Kaytoue. International Conference on Formal Concept Analysis, page 173--190. Springer, (2019)
3 years ago by @becker
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closure
subgroup
discovery
emm
exceptional
model
mining
efficient
algorithm
formal
concept
closuresubgroupdiscoveryemmexceptionalmodelminingefficientalgorithmformalconcept
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BibSonomy

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1Siren - Interactive and visual redescription mining — Siren - Interactive Redescription Mining

1Introduction to Redescription Mining - A Tutorial

1The Power of Saying “I don’t know”—An Introduction to Subgroup Discovery and Local Modeling | realKD

2CORNELL CS4780 "Machine Learning for Intelligent Systems" - YouTube

119: Boosting

1Large scale correlation mining: fundamental performance limits

2Statistical Significance Tests for Comparing Machine Learning Algorithms

1arvkevi/kneed: Knee point detection in Python

1machine learning - Getting a low ROC AUC score but a high accuracy - Stack Overflow

1CART-based approach to discover emerging patterns in microarray data | Bioinformatics | Oxford Academic

publications (hide)110
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1Hidden stratification causes clinically meaningful failures in machine learning for medical imaging

2Uni-and multivariate probability density models for numeric subgroup discovery

3Drum: End-to-end differentiable rule mining on knowledge graphs

1Integrated intra-and intercellular signaling knowledge for multicellular omics analysis

1Immune-centric network of cytokines and cells in disease context identified by computational mining of PubMed

1Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions

1Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing

1Contrast set mining for distinguishing between similar diseases

3Anytime subgroup discovery in numerical domains with guarantees

2Mining Formal Concepts using Implications between Items

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