JDSA Springer

The Springer Journal of Data Science and Analytics (JDSA) is the first scientific journal dedicated to data science and analytics.

[Leonardo Candela @leonardocandela]

Data science enthusiasts are warmly encouraged to contribute to the Special Issue on #DataScience and #AI for #MarineScience and #BlueEconomy - International Journal of Data Science and Analytics @JDSASpringer https://t.co/QQYJXut3PV https://t.co/i8SgG2RFJQ #openscience #FAIR

[JDSA Springer @JDSASpringer]

📜 Featured paper:
What can scatterplots teach us about doing data science better?

by Wilson Wen Bin Goh, Reuben Jyong Kiat Foo & Limsoon Wong

Read here 👇
https://t.co/GcG81Xfrpu

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Performance measure for sparse recovery algorithms in compressed sensing perspective

by V. Vivekanand & Deepak Mishra

Read 👇
https://t.co/dZpDclZtyJ

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Deep neural network-based spatiotemporal heterogeneous data reconstruction for landslide detection

by Darmawan Utomo, Liang-Cheng Hu & @pahsiung

Read 👇
https://t.co/ATzcVLsfxI

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Pull–push: a measure of over- or underpersonalization in recommendation

by Gebrekirstos G. Gebremeskel & @arjenpdevries

Read 👇
https://t.co/y85UOXAiKI

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Reservoir consisting of diverse dynamical behaviors and its application in time series classification

by Mohammad Modiri, Mohammad Mehdi Ebadzadeh & Mohammad Mehdi Homayounpour

Read here:
https://t.co/kLuvw7MgXr

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Predicting and explaining employee turnover intention

by Matilde Lazzari, @cc_jalvarez & @ruggieris

Read here👇
https://t.co/LnxCd9lJ5x

[JDSA Springer @JDSASpringer]

📜 Featured paper:
RASCL: a randomised approach to subspace clusters

by @SandyMoens, Boris Cule & @goethals

Read 👇
https://t.co/RetLkqVB0D

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Overfitting measurement of convolutional neural networks using trained network weights

by Satoru Watanabe & Hayato Yamana

Read 👇
https://t.co/GlnQBDAdD6

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Ensemble clustering of longitudinal bivariate HIV biomarker profiles to group patients by patterns of disease progression

by Miranda L. Lynch & Victor DeGruttola

Read 👇
https://t.co/yC3vC7m5t0

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Dbias: detecting biases and ensuring fairness in news articles

by @shaina17433400, @dreji18 & Chen Ding

Read ����
https://t.co/No81ve51Bf

[JDSA Springer @JDSASpringer]

📢 Call for Papers!

IEEE DSAA 2023 Journal Track on Theoretical and Practical Data Science and Analytics

👉 Submit until April 15th, 2023 AoE 👈

Authors of accepted papers will present their work at DSAA 2023!

More info: https://t.co/OeZerOMX2u

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Path signature-based phase space reconstruction for stock trend prediction

by Cuiting Li & Ke Liu

Read 👇https://t.co/njuqLFPRh4

[JDSA Springer @JDSASpringer]

📜 Featured paper:
From data to interpretable models: machine learning for soil moisture forecasting

by Aniruddha Basak, Kevin M. Schmidt & @OleMengshoel

Read here: https://t.co/soM4z2wACV

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Graph neural networks for multivariate time series regression with application to seismic data

by Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinović, Alberto Michelini & Martin Atzmueller

Read 👇https://t.co/Hv483g6atI

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Toward a taxonomy for 2D non-paired General Line Coordinates: a comprehensive survey

by Antonella S. Antonini, Leandro Luque, María Luján Ganuza & Silvia M. Castro

Read here: https://t.co/l7CfPoLymJ

[JDSA Springer @JDSASpringer]

📜 Featured paper:
Improved robust nonparallel support vector machines

by Ali Sahleh & Maziar Salahi

Read here: https://t.co/hWBwyMCBQl

[JDSA Springer @JDSASpringer]

📜 Featured paper:
DeepTLF: robust deep neural networks for heterogeneous tabular data

by @vdmbrsv, @KBroelemann, @EnkelejdaKasne1 & @Gjergji_

Read 👇 https://t.co/uQhHbOJWf9

[JDSA Springer @JDSASpringer]

📜 Featured paper:
The pattern frequency distribution theory: a mathematic establishment toward rational and reliable pattern mining

by Tongyuan Wang

Read 👇https://t.co/DtfhzZYH5w

[JDSA Springer @JDSASpringer]

📜 Featured paper:
A novel recommendation system comprising WNMF with graph-based static and temporal similarity estimators

by Anshul Gupta & Pravin Shrinath

Read 👇https://t.co/gUh4w3rR2r