Data mining and knowledge discovery

Keyphrases

Publications

2023

Ashneet Khandpur Singh, Alberto Blanco-Justicia, Josep Domingo-Ferrer
Fair detection of poisoning attacks in federated learning on non-i.i.d. data. Data mining and knowledge discovery (2023)
Hubert Baniecki, Dariusz Parzych, Przemysław Biecek
The grammar of interactive explanatory model analysis. Data mining and knowledge discovery (2023)
Hubert Baniecki, Dariusz Parzych, Przemysław Biecek
The grammar of interactive explanatory model analysis. Data mining and knowledge discovery (2023)

volume 38, number 3, 2023

Ali Javed, Donna M Rizzo, Byung Suk Lee, Robert Gramling
Somtimes: self organizing maps for time series clustering and its application to serious illness conversations. Data mining and knowledge discovery 38 (3) (2023)
Ali Javed, Donna M Rizzo, Byung Suk Lee, Robert Gramling
Somtimes: self organizing maps for time series clustering and its application to serious illness conversations. Data mining and knowledge discovery 38 (3) (2023)

volume 37, number 3, 2023

Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
AA-forecast: anomaly-aware forecast for extreme events. Data mining and knowledge discovery 37 (3) (2023)

volume 37, number 4, 2023

Henrique O Marques, Lorne Swersky, Jörg Sander, Ricardo J G B Campello, Arthur Zimek
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles. Data mining and knowledge discovery 37 (4) (2023)

2022

Sérgio Barreto, Ricardo Moura, Jonnathan Carvalho, Aline Paes, Alexandre Plastino
Sentiment analysis in tweets: an assessment study from classical to modern word representation models. Data mining and knowledge discovery (2022)
Deepak P, Sowmya S Sundaram
FiSH: fair spatial hot spots. Data mining and knowledge discovery (2022)
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Forecast evaluation for data scientists: common pitfalls and best practices. Data mining and knowledge discovery (2022)
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Forecast evaluation for data scientists: common pitfalls and best practices. Data mining and knowledge discovery (2022)
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Forecast evaluation for data scientists: common pitfalls and best practices. Data mining and knowledge discovery (2022)

volume 37, number 1, 2022

Guangyi Zhang, Aristides Gionis
Regularized impurity reduction: accurate decision trees with complexity guarantees. Data mining and knowledge discovery 37 (1) (2022)
Guangyi Zhang, Aristides Gionis
Regularized impurity reduction: accurate decision trees with complexity guarantees. Data mining and knowledge discovery 37 (1) (2022)

volume 37, number 2, 2022

Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Forecast evaluation for data scientists: common pitfalls and best practices. Data mining and knowledge discovery 37 (2) (2022)
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Forecast evaluation for data scientists: common pitfalls and best practices. Data mining and knowledge discovery 37 (2) (2022)

volume 36, number 1, 2022

Antonis Matakos, Aristides Gionis
Strengthening ties towards a highly-connected world. Data mining and knowledge discovery 36 (1) (2022)

volume 36, number 2, 2022

Guilherme F Marchezini, Anisio M Lacerda, Gisele Lobo Pappa, Wagner Meira, Debora Miranda, Marco A Romano-Silva, Danielle S Costa, Leandro Malloy Diniz
Counterfactual inference with latent variable and its application in mental health care. Data mining and knowledge discovery 36 (2) (2022)
Bruno Ordozgoiti, Ananth Mahadevan, Antonis Matakos, Aristides Gionis
Provable randomized rounding for minimum-similarity diversification. Data mining and knowledge discovery 36 (2) (2022)
Raisa Dzhamtyrova, Carsten Maple
Dynamic cyber risk estimation with competitive quantile autoregression. Data mining and knowledge discovery 36 (2) (2022)

volume 36, number 3, 2022

Guangyi Zhang, Nikolaj Tatti, Aristides Gionis
Ranking with submodular functions on a budget. Data mining and knowledge discovery 36 (3) (2022)

volume 36, number 5, 2022

Laurens Arp, Mitra Baratchi, Holger Hoos
VPint: value propagation-based spatial interpolation. Data mining and knowledge discovery 36 (5) (2022)

volume 36, number 6, 2022

Alene K Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Falaah Arif Khan, Julia Stoyanovich
An external stability audit framework to test the validity of personality prediction in AI hiring. Data mining and knowledge discovery 36 (6) (2022)
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
POI recommendation with queuing time and user interest awareness. Data mining and knowledge discovery 36 (6) (2022)

2021

Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I Webb
Time series extrinsic regression: Predicting numeric values from time series data. Data mining and knowledge discovery (2021)
Lin Zhang, Wenyu Zhang, Maxwell J McNeil, Nachuan Chengwang, David S Matteson, Petko Bogdanov
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. Data mining and knowledge discovery (2021)

volume 35, number 3, 2021

Lu Wang, Dongxiao Zhu
Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches. Data mining and knowledge discovery 35 (3) (2021)

volume 35, number 4, 2021

Giorgos Borboudakis, Ioannis Tsamardinos
Extending greedy feature selection algorithms to multiple solutions. Data mining and knowledge discovery 35 (4) (2021)

2020

Ofir Lindenbaum, Moshe Salhov, Arie Yeredor, Amir Averbuch
Gaussian bandwidth selection for manifold learning and classification. Data mining and knowledge discovery (2020)

volume 35, number 1, 2020

Alireza Ghods, Diane J Cook
A Survey of Deep Network Techniques All Classifiers Can Adopt. Data mining and knowledge discovery 35 (1) (2020)

volume 35, number 2, 2020

Alejandro Pasos Ruiz, Michael Flynn, James Large, Matthew Middlehurst, Anthony Bagnall
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data mining and knowledge discovery 35 (2) (2020)

volume 34, number 4, 2020

Jinghan Meng, Napath Pitaksirianan, Yi-Cheng Tu
Counting frequent patterns in large labeled graphs: a hypergraph-based approach. Data mining and knowledge discovery 34 (4) (2020)
Jinghan Meng, Napath Pitaksirianan, Yi-Cheng Tu
Counting frequent patterns in large labeled graphs: a hypergraph-based approach. Data mining and knowledge discovery 34 (4) (2020)
Jinghan Meng, Napath Pitaksirianan, Yi-Cheng Tu
Counting frequent patterns in large labeled graphs: a hypergraph-based approach. Data mining and knowledge discovery 34 (4) (2020)
Jinghan Meng, Napath Pitaksirianan, Yi-Cheng Tu
Counting frequent patterns in large labeled graphs: a hypergraph-based approach. Data mining and knowledge discovery 34 (4) (2020)

volume 33, number 6, 2020

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J G B Campello
A unified view of density-based methods for semi-supervised clustering and classification. Data mining and knowledge discovery 33 (6) (2020)

volume 33, number 6, 2019

Wei Zhang, Yao-Chsi Yu, Jr-Shin Li
Dynamics reconstruction and classification via Koopman features. Data mining and knowledge discovery 33 (6) (2019)
James Large, Jason Lines, Anthony Bagnall
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates. Data mining and knowledge discovery 33 (6) (2019)

volume 33, number 1, 2018

Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E Crouter, Eamonn Keogh
Domain agnostic online semantic segmentation for multi-dimensional time series. Data mining and knowledge discovery 33 (1) (2018)

volume 32, number 3, 2017

Luca Pappalardo, Filippo Simini
Data-driven generation of spatio-temporal routines in human mobility. Data mining and knowledge discovery 32 (3) (2017)

volume 31, number 1, 2016

Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin, Jun Wang, Eamonn Keogh
Generalizing DTW to the multi-dimensional case requires an adaptive approach. Data mining and knowledge discovery 31 (1) (2016)

volume 31, number 3, 2016

Anthony Bagnall, Jason Lines, Aaron Bostrom, James Large, Eamonn Keogh
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data mining and knowledge discovery 31 (3) (2016)

volume 10, number 8, 2016

C Ranjith Kumar, S Suguna
Visual Semantic Based 3D Video Retrieval System Using HDFS. Data mining and knowledge discovery 10 (8) (2016)

volume 25, number 1, 2011

Keith Noto, Carla Brodley, Donna Slonim
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection. Data mining and knowledge discovery 25 (1) (2011)

volume 22, number 1-2, 2010

Abdullah Mueen, Eamonn Keogh, Qiang Zhu, Sydney S Cash, M Brandon Westover, Nima Bigdely-Shamlo
A disk-aware algorithm for time series motif discovery. Data mining and knowledge discovery 22 (1-2) (2010)