DATAMINE - volume 35 - 2021 论文列表 |
点击这里查看 Data Mining and Knowledge Discovery 的JCR分区、影响因子等信息 |
Matthieu Kirchmeyer Patrick Gallinari Alain Rakotomamonjy Amin Mantrach
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams.Alessio Bernardo Emanuele Della Valle
CURIE: a cellular automaton for concept drift detection.Jesus L. Lobo Javier Del Ser Eneko Osaba Albert Bifet Francisco Herrera
MultiETSC: automated machine learning for early time series classification.Gilles Ottervanger Mitra Baratchi Holger H. Hoos
Early abandoning and pruning for elastic distances including dynamic time warping.Matthieu Herrmann Geoffrey I. Webb
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent.Sibylle Hess Gianvito Pio Michiel E. Hochstenbach Michelangelo Ceci
Introduction to the special issue of the ECML PKDD 2021 journal track.Annalisa Appice Sergio Escalera José A. Gámez Heike Trautmann
Characterizing attitudinal network graphs through frustration cloud. Continuous treatment effect estimation via generative adversarial de-confounding.Kun Kuang Yunzhe Li Bo Li Peng Cui Hongxia Yang Jianrong Tao Fei Wu
Chebyshev approaches for imbalanced data streams regression models.Ehsan Aminian Rita P. Ribeiro João Gama
Time series clustering in linear time complexity.Xiaosheng Li Jessica Lin Liang Zhao
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering.Rodrigo Randel Daniel Aloise Simon J. Blanchard Alain Hertz
Implicit consensus clustering from multiple graphs.Rafika Boutalbi Lazhar Labiod Mohamed Nadif
Isolation kernel: the X factor in efficient and effective large scale online kernel learning.Kai Ming Ting Jonathan R. Wells Takashi Washio
Social media as author-audience games. Boosting house price predictions using geo-spatial network embedding.Sarkar Snigdha Sarathi Das Mohammed Eunus Ali Yuan-Fang Li Yong-Bin Kang Timos Sellis
Davide Bacciu Alessio Conte Roberto Grossi Francesco Landolfi Andrea Marino
Link prediction in dynamic networks using random dot product graphs.Francesco Sanna Passino Anna S. Bertiger Joshua C. Neil Nicholas A. Heard
Selego: robust variate selection for accurate time series forecasting.Manoj Tiwaskar Yash Garg Xinsheng Li K. Selçuk Candan Maria Luisa Sapino
Attention based adversarially regularized learning for network embedding.Jieyue He Jinmeng Wang Zhizhou Yu
Structure learning for relational logistic regression: an ensemble approach.Nandini Ramanan Gautam Kunapuli Tushar Khot Bahareh Fatemi Seyed Mehran Kazemi David Poole Kristian Kersting Sriraam Natarajan
Differentially Private Distance Learning in Categorical Data.Elena Battaglia Simone Celano Ruggero G. Pensa
Data-driven detection of counterpressing in professional football. An alternating nonmonotone projected Barzilai-Borwein algorithm of nonnegative factorization of big matrices. TSK-Streams: learning TSK fuzzy systems for regression on data streams. Hyperbolic node embedding for temporal networks.Lili Wang Chenghan Huang Weicheng Ma Ruibo Liu Soroush Vosoughi
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series.Lin Zhang Wenyu Zhang Maxwell J. McNeil Nachuan Chengwang David S. Matteson Petko Bogdanov
Fake review detection on online E-commerce platforms: a systematic literature review. Effective social post classifiers on top of search interfaces.Antonia Saravanou Clemens Noelke Nicholas Huntington Dolores Acevedo-Garcia Dimitrios Gunopulos
Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition.Chi Zhang Hadi Fanaee-T Magne Thoresen
Affinity analysis for studying physicians' prescription behavior. Adversarial balancing-based representation learning for causal effect inference with observational data.Xin Du Lei Sun Wouter Duivesteijn Alexander G. Nikolaev Mykola Pechenizkiy
Guest editorial: Special issue on mining for health.Myra Spiliopoulou Panagiotis Papapetrou
CrashNet: an encoder-decoder architecture to predict crash test outcomes.Mohamed Karim Belaid Maximilian Rabus Ralf Krestel
An overlap sensitive neural network for class imbalanced data.Shaukat Ali Shahee Usha Ananthakumar
Correlations between random projections and the bivariate normal. Handling imbalance in hierarchical classification problems using local classifiers approaches.Rodolfo Miranda Pereira Yandre M. G. Costa Carlos N. Silla
What's in a name? - gender classification of names with character based machine learning models.Yifan Hu Changwei Hu Thanh Tran Tejaswi Kasturi Elizabeth Joseph Matt Gillingham
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding.Bilal Abu-Salih Marwan Al-Tawil Ibrahim Aljarah Hossam Faris Pornpit Wongthongtham Kit Yan Chan Amin Beheshti
Smoothed dilated convolutions for improved dense prediction. Efficient set-valued prediction in multi-class classification.Thomas Mortier Marek Wydmuch Krzysztof Dembczynski Eyke Hüllermeier Willem Waegeman
Extending greedy feature selection algorithms to multiple solutions.Giorgos Borboudakis Ioannis Tsamardinos
A deep multimodal model for bug localization.Ziye Zhu Yun Li Yu Wang Yaojing Wang Hanghang Tong
Fast computation of Katz index for efficient processing of link prediction queries.Mustafa Coskun Abdelkader Baggag Mehmet Koyutürk
Pseudoinverse graph convolutional networks. Correction to: Streaming changepoint detection for transition matrices.Joshua Plasse Henrique Hoeltgebaum Niall M. Adams
Streaming changepoint detection for transition matrices.Joshua Plasse Henrique Hoeltgebaum Niall M. Adams
Widening: using parallel resources to improve model quality.Michael R. Berthold Alexander Fillbrunn Arno Siebes
Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously. Homophily outlier detection in non-IID categorical data.Corentin Lonjarret Roch Auburtin Céline Robardet Marc Plantevit
Multi-label learning with missing and completely unobserved labels.Jun Huang Linchuan Xu Kun Qian Jing Wang Kenji Yamanishi
Time series extrinsic regression.Chang Wei Tan Christoph Bergmeir François Petitjean Geoffrey I. Webb
Sparse randomized shortest paths routing with Tsallis divergence regularization.Pierre Leleux Sylvain Courtain Guillaume Guex Marco Saerens
Dataset2Vec: learning dataset meta-features.Hadi S. Jomaa Lars Schmidt-Thieme Josif Grabocka
Word-class embeddings for multiclass text classification.Alejandro Moreo Andrea Esuli Fabrizio Sebastiani
Time series motifs discovery under DTW allows more robust discovery of conserved structure.Sara Alaee Ryan Mercer Kaveh Kamgar Eamonn J. Keogh
FuseRec: fusing user and item homophily modeling with temporal recommender systems.Kanika Narang Yitong Song Alexander G. Schwing Hari Sundaram
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.Ben Halstead Yun Sing Koh Patricia Riddle Russel Pears Mykola Pechenizkiy Albert Bifet
ForestDSH: a universal hash design for discrete probability distributions.Arash Gholami Davoodi Sean Chang Hyun Gon Yoo Anubhav Baweja Mihir Mongia Hosein Mohimani
Detecting virtual concept drift of regressors without ground truth values.Emilia Oikarinen Henri Tiittanen Andreas Henelius Kai Puolamäki
Deep graph similarity learning: a survey.Guixiang Ma Nesreen K. Ahmed Theodore L. Willke Philip S. Yu
Mining communities and their descriptions on attributed graphs: a survey.Hongjing Zhang Tianyang Zhan Sugato Basu Ian Davidson
User preference and embedding learning with implicit feedback for recommender systems.Sumit Sidana Mikhail Trofimov Oleh Horodnytskyi Charlotte Laclau Yury Maximov Massih-Reza Amini
Social explorative attention based recommendation for content distribution platforms.Wenyi Xiao Huan Zhao Haojie Pan Yangqiu Song Vincent W. Zheng Qiang Yang
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data.Yuan Jin Ming Liu Yunfeng Li Ruohua Xu Lan Du Longxiang Gao Yong Xiang
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns.Yassien Shaalan Xiuzhen Zhang Jeffrey Chan Mahsa Salehi
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.Alejandro Pasos Ruiz Michael Flynn James Large Matthew Middlehurst Anthony J. Bagnall
Jonathan Rebane Isak Karlsson Leon Bornemann Panagiotis Papapetrou
Mining explainable local and global subgraph patterns with surprising densities.Junning Deng Bo Kang Jefrey Lijffijt Tijl De Bie
Natural language techniques supporting decision modelers.Leticia Arco Gonzalo Nápoles Frank Vanhoenshoven Ana Laura Lara Gladys Casas Koen Vanhoof
An exemplar-based clustering using efficient variational message passing.Mohamed Hamza Ibrahim Rokia Missaoui
The network-untangling problem: from interactions to activity timelines.Polina Rozenshtein Nikolaj Tatti Aristides Gionis
For real: a thorough look at numeric attributes in subgroup discovery. Recency-based sequential pattern mining in multiple event sequences. Online summarization of dynamic graphs using subjective interestingness for sequential data. A survey of deep network techniques all classifiers can adopt. A survey of community detection methods in multilayer networks.