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ORCIDData Mining and Knowledge Discovery, Volume 35
Volume 35, Number 1, January 2021
- Xinyu Huang, Dongming Chen
, Tao Ren, Dongqi Wang:
A survey of community detection methods in multilayer networks. 1-45 - Alireza Ghods, Diane J. Cook:
A survey of deep network techniques all classifiers can adopt. 46-87 - Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen:
Online summarization of dynamic graphs using subjective interestingness for sequential data. 88-126 - Hakkyu Kim, Dong-Wan Choi:
Recency-based sequential pattern mining in multiple event sequences. 127-157 - Marvin Meeng, Arno J. Knobbe:
For real: a thorough look at numeric attributes in subgroup discovery. 158-212 - Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis:
The network-untangling problem: from interactions to activity timelines. 213-247 - Mohamed Hamza Ibrahim, Rokia Missaoui:
An exemplar-based clustering using efficient variational message passing. 248-289 - Leticia Arco, Gonzalo Nápoles, Frank Vanhoenshoven, Ana Laura Lara, Gladys Casas, Koen Vanhoof:
Natural language techniques supporting decision modelers. 290-320 - Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Mining explainable local and global subgraph patterns with surprising densities. 321-371 - Jonathan Rebane, Isak Karlsson, Leon Bornemann, Panagiotis Papapetrou:
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification. 372-399
Volume 35, Number 2, March 2021
- Alejandro Pasos Ruiz, Michael Flynn, James Large, Matthew Middlehurst, Anthony J. Bagnall:
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. 401-449 - Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan, Mahsa Salehi:
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns. 450-504 - Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang:
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data. 505-532 - Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Social explorative attention based recommendation for content distribution platforms. 533-567 - Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, Massih-Reza Amini:
User preference and embedding learning with implicit feedback for recommender systems. 568-592 - Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson:
A framework for deep constrained clustering. 593-620 - Lewis Hammond, Vaishak Belle:
Learning tractable probabilistic models for moral responsibility and blame. 621-659
Volume 35, Number 3, May 2021
- Martin Atzmueller, Stephan Günnemann, Albrecht Zimmermann:
Mining communities and their descriptions on attributed graphs: a survey. 661-687 - Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep graph similarity learning: a survey. 688-725 - Emilia Oikarinen, Henri Tiittanen, Andreas Henelius, Kai Puolamäki:
Detecting virtual concept drift of regressors without ground truth values. 726-747 - Arash Gholami Davoodi, Sean Chang, Hyun Gon Yoo, Anubhav Baweja, Mihir Mongia, Hosein Mohimani:
ForestDSH: a universal hash design for discrete probability distributions. 748-795 - Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet:
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. 796-836 - Kanika Narang, Yitong Song, Alexander G. Schwing, Hari Sundaram:
FuseRec: fusing user and item homophily modeling with temporal recommender systems. 837-862 - Sara Alaee, Ryan Mercer, Kaveh Kamgar, Eamonn J. Keogh:
Time series motifs discovery under DTW allows more robust discovery of conserved structure. 863-910 - Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Word-class embeddings for multiclass text classification. 911-963 - Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka:
Dataset2Vec: learning dataset meta-features. 964-985 - Pierre Leleux, Sylvain Courtain, Guillaume Guex, Marco Saerens:
Sparse randomized shortest paths routing with Tsallis divergence regularization. 986-1031 - Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Time series extrinsic regression. 1032-1060 - Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi:
Multi-label learning with missing and completely unobserved labels. 1061-1086 - Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit:
Sequential recommendation with metric models based on frequent sequences. 1087-1133 - Lu Wang, Dongxiao Zhu:
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches. 1134-1161
Volume 35, Number 4, July 2021
- Guansong Pang, Longbing Cao, Ling Chen:
Homophily outlier detection in non-IID categorical data. 1163-1224 - Jen-Wei Huang, Bijay Prasad Jaysawal, Cheng-Chung Wang:
Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously. 1225-1257 - Michael R. Berthold, Alexander Fillbrunn, Arno Siebes:
Widening: using parallel resources to improve model quality. 1258-1286 - Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams:
Streaming changepoint detection for transition matrices. 1287-1316 - Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams:
Correction to: Streaming changepoint detection for transition matrices. 1317 - Dominik Alfke, Martin Stoll:
Pseudoinverse graph convolutional networks. 1318-1341 - Mustafa Coskun, Abdelkader Baggag, Mehmet Koyutürk:
Fast computation of Katz index for efficient processing of link prediction queries. 1342-1368 - Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang, Hanghang Tong:
A deep multimodal model for bug localization. 1369-1392 - Giorgos Borboudakis, Ioannis Tsamardinos:
Extending greedy feature selection algorithms to multiple solutions. 1393-1434 - Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman:
Efficient set-valued prediction in multi-class classification. 1435-1469 - Zhengyang Wang, Shuiwang Ji:
Smoothed dilated convolutions for improved dense prediction. 1470-1496 - Bilal Abu-Salih, Marwan Al-Tawil, Ibrahim Aljarah, Hossam Faris, Pornpit Wongthongtham, Kit Yan Chan, Amin Beheshti:
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding. 1497-1536 - Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph, Matt Gillingham:
What's in a name? - gender classification of names with character based machine learning models. 1537-1563 - Rodolfo Miranda Pereira, Yandre M. G. Costa, Carlos N. Silla:
Handling imbalance in hierarchical classification problems using local classifiers approaches. 1564-1621 - Keegan Kang:
Correlations between random projections and the bivariate normal. 1622-1653 - Shaukat Ali Shahee, Usha Ananthakumar:
An overlap sensitive neural network for class imbalanced data. 1654-1687 - Mohamed Karim Belaid, Maximilian Rabus, Ralf Krestel:
CrashNet: an encoder-decoder architecture to predict crash test outcomes. 1688-1709 - Myra Spiliopoulou, Panagiotis Papapetrou:
Guest editorial: Special issue on mining for health. 1710-1712 - Xin Du, Lei Sun, Wouter Duivesteijn, Alexander G. Nikolaev, Mykola Pechenizkiy:
Adversarial balancing-based representation learning for causal effect inference with observational data. 1713-1738 - Iraklis Varlamis:
Affinity analysis for studying physicians' prescription behavior. 1739-1759 - Chi Zhang, Hadi Fanaee-T, Magne Thoresen:
Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition. 1760-1784 - Antonia Saravanou, Clemens Noelke, Nicholas Huntington, Dolores Acevedo-Garcia, Dimitrios Gunopulos:
Predictive modeling of infant mortality. 1785-1807
Volume 35, Number 5, September 2021
- Ryan Rivas, Vagelis Hristidis:
Effective social post classifiers on top of search interfaces. 1809-1829 - Himangshu Paul, Alexander G. Nikolaev:
Fake review detection on online E-commerce platforms: a systematic literature review. 1830-1881 - 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. 1882-1905 - Lili Wang, Chenghan Huang, Weicheng Ma, Ruibo Liu, Soroush Vosoughi:
Hyperbolic node embedding for temporal networks. 1906-1940 - Ammar Shaker, Eyke Hüllermeier:
TSK-Streams: learning TSK fuzzy systems for regression on data streams. 1941-1971 - Ting Li, Jiayi Tang, Zhong Wan:
An alternating nonmonotone projected Barzilai-Borwein algorithm of nonnegative factorization of big matrices. 1972-2008 - Pascal Bauer, Gabriel Anzer:
Data-driven detection of counterpressing in professional football. 2009-2049 - Elena Battaglia, Simone Celano, Ruggero G. Pensa:
Differentially Private Distance Learning in Categorical Data. 2050-2088 - Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan:
Structure learning for relational logistic regression: an ensemble approach. 2089-2111 - Jieyue He, Jinmeng Wang, Zhizhou Yu:
Attention based adversarially regularized learning for network embedding. 2112-2140 - Manoj Tiwaskar, Yash Garg, Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino:
Selego: robust variate selection for accurate time series forecasting. 2141-2167 - Francesco Sanna Passino, Anna S. Bertiger, Joshua C. Neil, Nicholas A. Heard:
Link prediction in dynamic networks using random dot product graphs. 2168-2199 - Davide Bacciu, Alessio Conte, Roberto Grossi, Francesco Landolfi, Andrea Marino:
K-plex cover pooling for graph neural networks. 2200-2220
Volume 35, Number 6, November 2021
- Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis:
Boosting house price predictions using geo-spatial network embedding. 2221-2250 - Andre F. Ribeiro:
Social media as author-audience games. 2251-2281 - Kai Ming Ting, Jonathan R. Wells, Takashi Washio:
Isolation kernel: the X factor in efficient and effective large scale online kernel learning. 2282-2312 - Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif:
Implicit consensus clustering from multiple graphs. 2313-2340 - Rodrigo Randel, Daniel Aloise, Simon J. Blanchard, Alain Hertz:
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering. 2341-2368 - Xiaosheng Li, Jessica Lin, Liang Zhao:
Time series clustering in linear time complexity. 2369-2388 - Ehsan Aminian, Rita P. Ribeiro, João Gama:
Chebyshev approaches for imbalanced data streams regression models. 2389-2466 - Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu:
Continuous treatment effect estimation via generative adversarial de-confounding. 2467-2497 - Lucas Rusnak, Jelena Tesic:
Characterizing attitudinal network graphs through frustration cloud. 2498-2539 - Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann:
Introduction to the special issue of the ECML PKDD 2021 journal track. 2540-2541 - Sibylle Hess, Gianvito Pio, Michiel E. Hochstenbach, Michelangelo Ceci:
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent. 2542-2576 - Matthieu Herrmann, Geoffrey I. Webb:
Early abandoning and pruning for elastic distances including dynamic time warping. 2577-2601 - Gilles Ottervanger, Mitra Baratchi, Holger H. Hoos:
MultiETSC: automated machine learning for early time series classification. 2602-2654 - Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: a cellular automaton for concept drift detection. 2655-2678 - Alessio Bernardo, Emanuele Della Valle:
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams. 2679-2713 - Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach:
Unsupervised domain adaptation with non-stochastic missing data. 2714-2755
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