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Int. J. Data Sci. Anal.
2016
2019
2021
2024
2016
2024
Keyphrases
Publications
volume 17, number 1, 2024
Mohammad Modiri
,
Mohammad Mehdi Ebadzadeh
,
Mohammad Mehdi Homayounpour
Reservoir consisting of diverse dynamical behaviors and its application in time series classification.
Int. J. Data Sci. Anal.
17 (1) (2024)
Ali Sahleh
,
Maziar Salahi
Improved robust nonparallel support vector machines.
Int. J. Data Sci. Anal.
17 (1) (2024)
Lior Shamir
Automatic identification of rank correlation between image sequences.
Int. J. Data Sci. Anal.
17 (1) (2024)
Patrick Hosein
A data science approach to risk assessment for automobile insurance policies.
Int. J. Data Sci. Anal.
17 (1) (2024)
Darmawan Utomo
,
Liang-Cheng Hu
,
Pao-Ann Hsiung
Deep neural network-based spatiotemporal heterogeneous data reconstruction for landslide detection.
Int. J. Data Sci. Anal.
17 (1) (2024)
Wilson Wen Bin Goh
,
Reuben Jyong Kiat Foo
,
Limsoon Wong
What can scatterplots teach us about doing data science better?
Int. J. Data Sci. Anal.
17 (1) (2024)
Shaina Raza
,
Deepak John Reji
,
Chen Ding
Dbias: detecting biases and ensuring fairness in news articles.
Int. J. Data Sci. Anal.
17 (1) (2024)
Peyman Rasouli
,
Ingrid Chieh Yu
CARE: coherent actionable recourse based on sound counterfactual explanations.
Int. J. Data Sci. Anal.
17 (1) (2024)
volume 17, number 2, 2024
Roberto Bertolini
,
Stephen J. Finch
Stability of filter feature selection methods in data pipelines: a simulation study.
Int. J. Data Sci. Anal.
17 (2) (2024)
Salvatore Citraro
,
Letizia Milli
,
Rémy Cazabet
,
Giulio Rossetti
Δ-Conformity: multi-scale node assortativity in feature-rich stream graphs.
Int. J. Data Sci. Anal.
17 (2) (2024)
Gustavo Sosa-Cabrera
,
Santiago Gómez-Guerrero
,
Miguel García-Torres
,
Christian E. Schaerer
Feature selection: a perspective on inter-attribute cooperation.
Int. J. Data Sci. Anal.
17 (2) (2024)
Amir Hosein Keyhanipour
Graph-based comparative analysis of learning to rank datasets.
Int. J. Data Sci. Anal.
17 (2) (2024)
Nourhan Ahmed
,
Ahmed Rashed
,
Lars Schmidt-Thieme
Learning attentive attribute-aware node embeddings in dynamic environments.
Int. J. Data Sci. Anal.
17 (2) (2024)
Haojie Xie
,
Yongshun Gong
,
Xiangjun Dong
Spatial-temporal regularized tensor decomposition method for traffic speed data imputation.
Int. J. Data Sci. Anal.
17 (2) (2024)
volume 16, number 1, 2023
Vadim Borisov
,
Klaus Broelemann
,
Enkelejda Kasneci
,
Gjergji Kasneci
DeepTLF: robust deep neural networks for heterogeneous tabular data.
Int. J. Data Sci. Anal.
16 (1) (2023)
Andrei V. Konstantinov
,
Lev V. Utkin
Attention-like feature explanation for tabular data.
Int. J. Data Sci. Anal.
16 (1) (2023)
Tongyuan Wang
The pattern frequency distribution theory: a mathematic establishment toward rational and reliable pattern mining.
Int. J. Data Sci. Anal.
16 (1) (2023)
Guillaume Staerman
,
Eric Adjakossa
,
Pavlo Mozharovskyi
,
Vera Hofer
,
Jayant Sen Gupta
,
Stéphan Clémençon
Functional anomaly detection: a benchmark study.
Int. J. Data Sci. Anal.
16 (1) (2023)
Anshul Gupta
,
Pravin Shrinath
A novel recommendation system comprising WNMF with graph-based static and temporal similarity estimators.
Int. J. Data Sci. Anal.
16 (1) (2023)
Sajad Fathi Hafshejani
,
Zahra Moaberfard
Initialization for non-negative matrix factorization: a comprehensive review.
Int. J. Data Sci. Anal.
16 (1) (2023)
volume 16, number 2, 2023
Mitali Desai
,
Rupa G. Mehta
,
Dipti P. Rana
ScholarRec: a scholars' recommender system that combines scholastic influence and social collaborations in academic social networks.
Int. J. Data Sci. Anal.
16 (2) (2023)
Anton Lysenko
,
Egor Shikov
,
Klavdiya Bochenina
Combination of individual and group patterns for time-sensitive purchase recommendation.
Int. J. Data Sci. Anal.
16 (2) (2023)
Xin Wang
,
Serdar Kadioglu
Modeling uncertainty to improve personalized recommendations via Bayesian deep learning.
Int. J. Data Sci. Anal.
16 (2) (2023)
Minsung Hong
,
Namho Chung
,
Chulmo Koo
,
Sun-Young Koh
TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data.
Int. J. Data Sci. Anal.
16 (2) (2023)
Michael Sun
,
Andrew Wang
Privacy preserving cold-start recommendation for out-of-matrix users via content baskets.
Int. J. Data Sci. Anal.
16 (2) (2023)
Donglin Zhou
,
Zhihong Zhang
,
Yangxin Zheng
,
Zhenting Zou
,
Lin Zheng
Attenuated sentiment-aware sequential recommendation.
Int. J. Data Sci. Anal.
16 (2) (2023)
Jing Yuan
,
Christian Geißler
,
Weijia Shao
,
Andreas Lommatzsch
,
Brijnesh J. Jain
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion.
Int. J. Data Sci. Anal.
16 (2) (2023)
Shoujin Wang
,
Yan Wang
,
Fikret Sivrikaya
,
Sahin Albayrak
,
Vito Walter Anelli
Data science for next-generation recommender systems.
Int. J. Data Sci. Anal.
16 (2) (2023)
Domokos M. Kelen
,
András A. Benczúr
A probabilistic perspective on nearest neighbor for implicit recommendation.
Int. J. Data Sci. Anal.
16 (2) (2023)
Gebrekirstos G. Gebremeskel
,
Arjen P. de Vries
Pull-push: a measure of over- or underpersonalization in recommendation.
Int. J. Data Sci. Anal.
16 (2) (2023)
Chaima Laroussi
,
Raouia Ayachi
A deep meta-level spatio-categorical POI recommender system.
Int. J. Data Sci. Anal.
16 (2) (2023)
volume 16, number 3, 2023
Kavita Sahu
,
R. K. Srivastava
,
Sarvesh Kumar
,
Manish Saxena
,
Bineet Kumar Gupta
,
Ravi Prakash Verma
Integrated hesitant fuzzy-based decision-making framework for evaluating sustainable and renewable energy.
Int. J. Data Sci. Anal.
16 (3) (2023)
Yu-Xuan Zhang
,
Mei Yang
,
Zhengchun Zhou
,
Fan Min
Multi-instance embedding learning with deconfounded instance-level prediction.
Int. J. Data Sci. Anal.
16 (3) (2023)
Iraklis Varlamis
,
Christos Sardianos
,
Christos Chronis
,
George J. Dimitrakopoulos
,
Yassine Himeur
,
Abdullah Alsalemi
,
Faycal Bensaali
,
Abbes Amira
Using big data and federated learning for generating energy efficiency recommendations.
Int. J. Data Sci. Anal.
16 (3) (2023)
Tri Minh Nguyen
,
Thin Nguyen
,
Truyen Tran
Learning to discover medicines.
Int. J. Data Sci. Anal.
16 (3) (2023)
Monika Di Angelo
,
Gernot Salzer
Identification of token contracts on Ethereum: standard compliance and beyond.
Int. J. Data Sci. Anal.
16 (3) (2023)
Stefan Bloemheuvel
,
Jurgen van den Hoogen
,
Dario Jozinovic
,
Alberto Michelini
,
Martin Atzmueller
Graph neural networks for multivariate time series regression with application to seismic data.
Int. J. Data Sci. Anal.
16 (3) (2023)
volume 16, number 4, 2023
Mohanned Abduljabbar Hael
Unbiased recursive decision tree for supervised functional data classification with applying on electrocardiogram signals.
Int. J. Data Sci. Anal.
16 (4) (2023)
Alejandro Gabriel Villanueva Zacarias
,
Peter Reimann
,
Christian Weber
,
Bernhard Mitschang
AssistML: an approach to manage, recommend and reuse ML solutions.
Int. J. Data Sci. Anal.
16 (4) (2023)
Carson K. Leung
,
Gabriella Pasi
,
Li Wang
Theoretical and practical data science and analytics: challenges and solutions.
Int. J. Data Sci. Anal.
16 (4) (2023)
Dayne Sorvisto
Applications of the discrete-time Fourier transform to data analysis.
Int. J. Data Sci. Anal.
16 (4) (2023)
Nourhan Ahmed
,
Lars Schmidt-Thieme
Sparse self-attention guided generative adversarial networks for time-series generation.
Int. J. Data Sci. Anal.
16 (4) (2023)
Nicolás Hernández
,
Alberto Muñoz
,
Gabriel Martos
Density kernel depth for outlier detection in functional data.
Int. J. Data Sci. Anal.
16 (4) (2023)
Andrew Barrick
,
Isabelle Métais
,
Hanane-Perrein Ettajani
,
Jean-Marie Marion
,
Amélie Châtel
Establishing FAIR (Findable, Accessible, Interoperable and Reusable) principles for estuarine organisms exposed to engineered nanomaterials.
Int. J. Data Sci. Anal.
16 (4) (2023)
volume 15, number 4, 2023
Octavio Loyola-González
Process mining: software comparison, trends, and challenges.
Int. J. Data Sci. Anal.
15 (4) (2023)
Preeti Jha
,
Aruna Tiwari
,
Neha Bharill
,
Milind B. Ratnaparkhe
,
Om Prakash Patel
,
Nilagiri Harshith
,
Mukkamalla Mounika
,
Neha Nagendra
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis.
Int. J. Data Sci. Anal.
15 (4) (2023)
Pierre Miasnikof
,
Alexander Y. Shestopaloff
,
Andrei M. Raigorodskii
Statistical power, accuracy, reproducibility and robustness of a graph clusterability test.
Int. J. Data Sci. Anal.
15 (4) (2023)
Emilie Ramsahai
,
Navin Dookeram
,
Darren Ramsook
,
Jason R. Rameshwar
,
Abdu B. Yearwood
,
Annamika Bachoo
,
Koffka Khan
Crime prediction in Trinidad and Tobago using big data analytics.
Int. J. Data Sci. Anal.
15 (4) (2023)
V. Vivekanand
,
Deepak Mishra
Performance measure for sparse recovery algorithms in compressed sensing perspective.
Int. J. Data Sci. Anal.
15 (4) (2023)
Victor Christen
,
Tim Häntschel
,
Peter Christen
,
Erhard Rahm
Privacy-preserving record linkage using autoencoders.
Int. J. Data Sci. Anal.
15 (4) (2023)