Knowledge and Information Systems - Google Scholar Metrics

h5-index:38
h5-median:59

h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2014-2018 have at least h citations each.hide

h5-median for a publication is the median number of citations for the articles that make up its h5-index.hide

Title / Author	Cited by	Year
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study I Triguero, S García, F Herrera Knowledge and Information Systems 42 (2), 245-284	167	2015
A survey on indexing techniques for big data: taxonomy and performance evaluation A Gani, A Siddiqa, S Shamshirband, F Hanum Knowledge and Information Systems 46 (2), 241-284	130	2016
A survey of methods for time series change point detection S Aminikhanghahi, DJ Cook Knowledge and Information Systems 51 (2), 339-367	130	2017
A survey on data stream clustering and classification HL Nguyen, YK Woon, WK Ng Knowledge and Information Systems 45 (3), 535-569	115	2015
A weighted voting framework for classifiers ensembles LI Kuncheva, JJ Rodríguez Knowledge and Information Systems 38 (2), 259-275	106	2014
An efficient projection-based indexing approach for mining high utility itemsets GC Lan, TP Hong, VS Tseng Knowledge and Information Systems 38 (1), 85-107	94	2014
Parallel matrix factorization for recommender systems HF Yu, CJ Hsieh, S Si, IS Dhillon Knowledge and Information Systems 41 (3), 793-819	92	2014
Auditing black-box models for indirect influence P Adler, C Falk, SA Friedler, T Nix, G Rybeck, C Scheidegger, B Smith, ... Knowledge and Information Systems 54 (1), 95-122	92	2018
Class imbalance revisited: a new experimental setup to assess the performance of treatment methods RC Prati, GE Batista, DF Silva Knowledge and Information Systems 45 (1), 247-270	89	2015
On the difficulty of automatically detecting irony: beyond a simple case of negation A Reyes, P Rosso Knowledge and Information Systems 40 (3), 595-614	88	2014
Evaluating link prediction methods Y Yang, RN Lichtenwalter, NV Chawla Knowledge and Information Systems 45 (3), 751-782	86	2015
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition JA Sáez, M Galar, J Luengo, F Herrera Knowledge and Information Systems 38 (1), 179-206	83	2014
Word network topic model: a simple but general solution for short and imbalanced texts Y Zuo, J Zhao, K Xu Knowledge and Information Systems 48 (2), 379-398	80	2016
Clustering Web services to facilitate service discovery J Wu, L Chen, Z Zheng, MR Lyu, Z Wu Knowledge and Information Systems 38 (1), 207-229	69	2014
Beyond one billion time series: indexing and mining very large time series collections with $$ i $$ SAX2+ A Camerra, J Shieh, T Palpanas, T Rakthanmanon, E Keogh Knowledge and Information Systems 39 (1), 123-151	67	2014
Joint Schatten $$$$-norm and $$\ell _ $$ ℓ-norm robust matrix comletion for missing value recovery F Nie, H Wang, H Huang, C Ding Knowledge and Information Systems 42 (3), 525-544	67	2015
Explaining prediction models and individual predictions with feature contributions E Štrumbelj, I Kononenko Knowledge and Information Systems 41 (3), 647-665	67	2014
Similarity measures for OLAP sessions J Aligon, M Golfarelli, P Marcel, S Rizzi, E Turricchia Knowledge and Information Systems 39 (2), 463-489	64	2014
The (black) art of runtime evaluation: Are we comparing algorithms or implementations? HP Kriegel, E Schubert, A Zimek Knowledge and Information Systems 52 (2), 341-378	60	2017
Email mining: tasks, common techniques, and tools G Tang, J Pei, WS Luk Knowledge and Information Systems 41 (1), 1-31	58	2014

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Dates and citation counts are estimated and are determined automatically by a computer program.