Journal: Data Min. Knowl. Discov.

Volume 34, Issue 6

1621 -- 1641Zhuo Wang 0004, Runlong Hu, Qian Chen, Pei Gao, Xiaowei Xu 0001. ColluEagle: collusive review spammer detection using Markov random fields
1642 -- 1675Hannah Rae Kerner, Kiri L. Wagstaff, Brian D. Bue, Danika F. Wellington, Samantha Jacob, Paul Horton, James F. Bell, Chiman Kwan, Heni Ben Amor. Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions
1676 -- 1712Ofir Lindenbaum, Moshe Salhov, Arie Yeredor, Amir Averbuch. Gaussian bandwidth selection for manifold learning and classification
1713 -- 1743Shima Imani, Frank Madrid, Wei Ding 0003, Scott E. Crouter, Eamonn J. Keogh. Introducing time series snippets: a new primitive for summarizing long time series
1744 -- 1776Chenxu Wang, Yang Wang, Zhiyuan Zhao, Dong Qin, Xiapu Luo, Tao Qin. Credible seed identification for large-scale structural network alignment
1777 -- 1804Jake H. Lee, Kiri L. Wagstaff. Visualizing image content to explain novel image discovery
1805 -- 1858Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista. Challenges in benchmarking stream learning algorithms with real-world data
1859 -- 1897Qian Ma, Wang-Chien Lee, Tao-Yang Fu, Yu Gu 0002, Ge Yu 0001. MIDIA: exploring denoising autoencoders for missing data imputation
1898 -- 1935Alberto Lumbreras, Louis Filstroff, Cédric Févotte. Bayesian mean-parameterized nonnegative binary matrix factorization
1936 -- 1962Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean. InceptionTime: Finding AlexNet for time series classification
1963 -- 1983Maryam Habibi, Johannes Starlinger, Ulf Leser. DeepTable: a permutation invariant neural network for table orientation classification
1984 -- 1985Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander 0001, Ricardo J. G. B. Campello. Correction to: A unified view of density-based methods for semi-supervised clustering and classification