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ORCIDWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 9
Volume 9, Number 1, January 2019
- Shan Suthaharan
:
Big data analytics: Machine learning and Bayesian learning perspectives - What is done? What is not?
- Christian von Lücken, Carlos A. Brizuela, Benjamín Barán:
An overview on evolutionary algorithms for many-objective optimization problems. - Loan N. N. Do, Neda Taherifar, Hai Le Vu:
Survey of neural network-based models for short-term traffic state prediction.
- Guoqiang Zhong, Xiao Ling, Li-Na Wang:
From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures.
- (Withdrawn) Facial feature discovery for ethnicity recognition.
Volume 9, Number 2, March 2019
- Enrique González Rodrigo, Juan A. Aledo, José A. Gámez:
Machine learning from crowds: A systematic review of its applications. - Adriano S. Koshiyama, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective. - Jorge Lobo:
Relationship-based access control: More than a social network access control model.
- Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera:
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data. - László Barna Iantovics, Corina Rotar, Florica Morar:
Survey on establishing the optimal number of factors in exploratory factor analysis applied to data mining. - Mário Rodrigues, Maribel Yasmina Santos, Jorge Bernardino:
Big data processing tools: An experimental performance evaluation.
- Emre Göynügür, Murat Sensoy, Geeth de Mel:
Enabling smart environments through scalable policy reasoning and Internet of Things. - Xiao Zhang, Yun Liao, Shizhong Liao:
A survey on online kernel selection for online kernel learning. - Fátima Leal, Benedita Malheiro, Juan-Carlos Burguillo:
Analysis and prediction of hotel ratings from crowdsourced data.
Volume 9, Number 3, May 2019
- Isuru U. Hewapathirana:
Change detection in dynamic attributed networks. - Ricardo Gacitúa, Jose-Norberto Mazón, Ania Cravero:
Using Semantic Web technologies in the development of data warehouses: A systematic mapping.
- Mamta Mittal, Lalit Mohan Goyal, D. Jude Hemanth, Jasleen K. Sethi:
Clustering approaches for high-dimensional databases: A review. - Philipp Probst, Marvin N. Wright, Anne-Laure Boulesteix:
Hyperparameters and tuning strategies for random forest. - Kaushik Kumar Majumdar:
Shannon versus semantic information processing in the brain. - Yan Zhou, Murat Kantarcioglu, Bowei Xi:
A survey of game theoretic approach for adversarial machine learning. - Mohamed Medhat Gaber, Adel Aneiba, Shadi Basurra, Oliver Batty, Ahmed M. Elmisery, Yevgeniya Kovalchuk, Muhammad Habib Ur Rehman:
Internet of Things and data mining: From applications to techniques and systems. - Carmen Luque, José María Luna, Maria Luque, Sebastián Ventura:
An advanced review on text mining in medicine.
- B. D. McCullough, Taha Mokfi, Mahsa Almaeenejad:
On the accuracy of linear regression routines in some data mining packages. - Nihan Gulsoy, Sinem Kulluk:
A data mining application in credit scoring processes of small and medium enterprises commercial corporate customers. - Asma ElAdel, Mourad Zaied, Chokri Ben Amar:
Trained convolutional neural network based on selected beta filters for Arabic letter recognition.
Volume 9, Number 4, July 2019
- Witold Pedrycz:
Editorial.
- Andreas Bartschat, Markus Reischl, Ralf Mikut:
Data mining tools.
- Anand Handa, Ashu Sharma, Sandeep K. Shukla:
Machine learning in cybersecurity: A review. - Charles C. Margossian:
A review of automatic differentiation and its efficient implementation. - Van Du Nguyen, Hai Bang Truong, Mercedes G. Merayo, Ngoc Thanh Nguyen:
An overview on consensus-based approaches to processing collective inconsistency and knowledge integration. - Sorin Adam Matei, Kerk F. Kee:
Computational communication research.
- Andreas Holzinger, Georg Langs, Helmut Denk, Kurt Zatloukal, Heimo Müller:
Causability and explainability of artificial intelligence in medicine. - Seyed Mohssen Ghafari, Christos Tjortjis:
A survey on association rules mining using heuristics. - Faicel Chamroukhi, Hien Duy Nguyen:
Model-based clustering and classification of functional data. - Annamalai Lakshmi, Anirban Chakraborty, Chetan Singh Thakur:
Neuromorphic vision: From sensors to event-based algorithms.
Volume 9, Number 5, September 2019
- Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer:
A comprehensive survey of error measures for evaluating binary decision making in data science. - Frank Hoffmann, Torsten Bertram, Ralf Mikut, Markus Reischl, Oliver Nelles:
Benchmarking in classification and regression.
- Wei-Yin Loh, Luxi Cao, Peigen Zhou:
Subgroup identification for precision medicine: A comparative review of 13 methods. - Kamran Soomro, Muhammad Nasir Mumtaz Bhutta, Zaheer Khan, Muhammad Atif Tahir:
Smart city big data analytics: An advanced review.
- Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft:
A new anchor word selection method for the separable topic discovery. - Ce Li, Pinjie Xu, Lijinliang Niu, Yuan Chen, Longshuai Sheng, Mingcun Liu:
Tunnel crack detection using coarse-to-fine region localization and edge detection.
Volume 9, Number 6, November 2019
- Wei Peng, Achini Adikari, Damminda Alahakoon, John S. Gero:
Discovering the influence of sarcasm in social media responses.
- José María Luna, Philippe Fournier-Viger, Sebastián Ventura:
Frequent itemset mining: A 25 years review. - Zenon A. Sosnowski, Lukasz Gadomer:
Fuzzy trees and forests - Review. - Rafael Ferreira Leite de Mello, Maverick Andre Dionisio Ferreira, Anderson Pinheiro Cavalcanti, Evandro Costa, Cristóbal Romero:
Text mining in education.
- Marwan Hassani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification.
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