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ORCIDData Mining and Knowledge Discovery, Volume 33
Volume 33, Number 1, January 2019
- Petr Rysavý
, Filip Zelezný:
Estimating sequence similarity from read sets for clustering next-generation sequencing data. 1-23 - Junzhou Zhao, Pinghui Wang, John C. S. Lui, Don Towsley, Xiaohong Guan:
Sampling online social networks by random walk with indirect jumps. 24-57 - Thanh-Nam Doan, Ee-Peng Lim:
Modeling location-based social network data with area attraction and neighborhood competition. 58-95 - Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh:
Domain agnostic online semantic segmentation for multi-dimensional time series. 96-130 - Nicolas Méger, Christophe Rigotti, Catherine Pothier, Tuan Nguyen, Felicity Lodge, Lionel Gueguen, Rémi Andreoli, Marie-Pierre Doin, Mihai Datcu:
Ranking evolution maps for Satellite Image Time Series exploration: application to crustal deformation and environmental monitoring. 131-167 - Weixuan Mao, Zhongmin Cai, Bo Zeng, Xiaohong Guan:
Learning edge weights in file co-occurrence graphs for malware detection. 168-203 - Jihoi Park, Kihwan Nam:
Group recommender system for store product placement. 204-229 - Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens:
Robust classification of graph-based data. 230-251 - Markus Brill, Till Fluschnik, Vincent Froese, Brijnesh J. Jain, Rolf Niedermeier, David Schultz:
Exact mean computation in dynamic time warping spaces. 252-291
Volume 33, Number 2, March 2019
- Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier:
Multi-target prediction: a unifying view on problems and methods. 293-324 - Wilhelmiina Hämäläinen, Geoffrey I. Webb:
A tutorial on statistically sound pattern discovery. 325-377 - Amaia Abanda, Usue Mori, José Antonio Lozano:
A review on distance based time series classification. 378-412 - Peter Laurinec, Mária Lucká:
Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting. 413-445 - Charlotte Laclau, Vincent Brault:
Noise-free latent block model for high dimensional data. 446-473 - Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin:
DeepRank: improving unsupervised node ranking via link discovery. 474-498 - Shoubo Hu, Bogdan Cautis, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He:
Model-free inference of diffusion networks using RKHS embeddings. 499-525 - Sanjar Karaev, Pauli Miettinen:
Algorithms for approximate subtropical matrix factorization. 526-576
Volume 33, Number 3, May 2019
- Somayeh Naderivesal, Lars Kulik, James Bailey:
An effective and versatile distance measure for spatiotemporal trajectories. 577-606 - Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb:
Proximity Forest: an effective and scalable distance-based classifier for time series. 607-635 - Fei Tan, Chaoran Cheng, Zhi Wei:
Modeling and elucidation of housing price. 636-662 - Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk:
EACD: evolutionary adaptation to concept drifts in data streams. 663-694 - Alípio Jorge, Rui L. Lopes, Germán Larrazábal, Hamed Nikhalat-Jahromi:
Guest Editorial - Special Issue on Data Mining for Geosciences. 695-696 - Editor's Note. 697
- Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska:
Spatial autocorrelation and entropy for renewable energy forecasting. 698-729 - Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala:
The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. 730-747 - Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park:
Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series. 748-772 - Indre Zliobaite:
Concept drift over geological times: predictive modeling baselines for analyzing the mammalian fossil record. 773-803
Volume 33, Number 4, July 2019
- Cèsar Ferri, José Hernández-Orallo, Peter A. Flach:
Setting decision thresholds when operating conditions are uncertain. 805-847 - Mengxue Zhang, Meizhuo Zhang, Chen Ge, Quanyang Liu, Jiemin Wang, Jia Wei, Kenny Q. Zhu:
Automatic discovery of adverse reactions through Chinese social media. 848-870 - Jessica Clark, Foster J. Provost:
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data. 871-916 - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep learning for time series classification: a review. 917-963 - Antonio Arauzo-Azofra, Alfonso Jiménez-Vílchez, José Molina-Baena, María Luque-Rodriguez:
Algorithmic cache of sorted tables for feature selection - Speeding up methods based on consistency and information theory measures. 964-994 - Ruiyu Yang, Yuxiang Jiang, Scott Mathews, Elizabeth A. Housworth, Matthew W. Hahn, Predrag Radivojac:
A new class of metrics for learning on real-valued and structured data. 995-1016 - Kenji Yamanishi, Tianyi Wu, Shinya Sugawara, Makoto Okada:
The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models. 1017-1058 - Jian-Ping Mei, Huajiang Lv, Liang Huai Yang, Yanjun Li:
Clustering for heterogeneous information networks with extended star-structure. 1059-1087 - Florian Adriaens, Jefrey Lijffijt, Tijl De Bie:
Subjectively interesting connecting trees and forests. 1088-1124 - Boris Cule, Len Feremans, Bart Goethals:
Efficiently mining cohesion-based patterns and rules in event sequences. 1125-1182 - Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim:
Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations. 1183-1222
Volume 33, Number 5, September 2019
- Karsten M. Borgwardt, Po-Ling Loh, Evimaria Terzi, Antti Ukkonen:
Introduction to the special issue for the ECML PKDD 2019 journal track. 1223-1224 - Minsoo Jung, Yongsub Lim, Sunmin Lee, U Kang:
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams. 1225-1253 - Manfred Jaeger, Marco Lippi, Giovanni Pellegrini, Andrea Passerini:
Counts-of-counts similarity for prediction and search in relational data. 1254-1297 - Nicolas Nadisic, Aurélien Coussat, Loïc Cerf:
Mining skypatterns in fuzzy tensors. 1298-1322 - Georg Krempl, Dominik Lang, Vera Hofer:
Temporal density extrapolation using a dynamic basis approach. 1323-1356 - Sjouke Mauw, Yunior Ramírez-Cruz, Rolando Trujillo-Rasua:
Robust active attacks on social graphs. 1357-1392 - Lakshmi Gangumalla, P. Krishna Reddy, Anirban Mondal:
Multi-location visibility query processing using portion-based transactional modeling and pattern mining. 1393-1416 - Konstantinos Semertzidis, Evaggelia Pitoura, Evimaria Terzi, Panayiotis Tsaparas:
Finding lasting dense subgraphs. 1417-1445 - Jelena Gligorijevic, Djordje Gligorijevic, Ivan Stojkovic, Xiao Bai, Amit Goyal, Zoran Obradovic:
Deeply supervised model for click-through rate prediction in sponsored search. 1446-1467 - Zijin Zhao, Lingyang Chu, Dacheng Tao, Jian Pei:
Classification with label noise: a Markov chain sampling framework. 1468-1504
Volume 33, Number 6, November 2019
- Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel:
A unifying view of explicit and implicit feature maps of graph kernels. 1505-1547 - Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W. Cheung:
HHMF: hidden hierarchical matrix factorization for recommender systems. 1548-1582 - Marek Smieja, Krzysztof Hajto, Jacek Tabor:
Efficient mixture model for clustering of sparse high dimensional binary data. 1583-1624 - Tomer Geva, Maytal Saar-Tsechansky, Harel Lustiger:
More for less: adaptive labeling payments in online labor markets. 1625-1673 - James Large, Jason Lines, Anthony J. Bagnall:
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates. 1674-1709 - Wei Zhang, Yao-Chi Yu, Jr-Shin Li:
Dynamics reconstruction and classification via Koopman features. 1710-1735 - Domenico Saccà, Edoardo Serra, Antonino Rullo:
Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications. 1736-1774 - Maximilian Toller, Tiago Santos, Roman Kern:
SAZED: parameter-free domain-agnostic season length estimation in time series data. 1775-1798 - Gerrit J. J. van den Burg, Alfredo Nazábal, Charles Sutton:
Wrangling messy CSV files by detecting row and type patterns. 1799-1820 - Carl Henning Lubba, Sarab S. Sethi, Philip Knaute, Simon R. Schultz, Ben D. Fulcher, Nick S. Jones:
catch22: CAnonical Time-series CHaracteristics - Selected through highly comparative time-series analysis. 1821-1852 - Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Contextual bandits with hidden contexts: a focused data capture from social media streams. 1853-1893 - 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. 1894-1952 - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Attributed network embedding via subspace discovery. 1953-1980 - Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh:
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series. 1981-1982
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