Graded Possibilistic Clustering of Non-stationary Data Streams

被引：2

作者：

Abdullatif, A. ^{[1
,2
]}

Masulli, F. ^{[1
,3
]}

Rovetta, S. ^{[1
]}

Cabri, A. ^{[1
]}

机构：

[1] Univ Genoa, DIBRIS Dept Informat Bioingengering Robot & Syst, Via Dodecaneso 35, I-16146 Genoa, Italy

[2] VEDECOM Inst, Versailles, France

[3] Temple Univ, Coll Sci & Technol, Sbarro Inst Canc Res & Mol Med, Philadelphia, PA 19122 USA

来源：

FUZZY LOGIC AND SOFT COMPUTING APPLICATIONS, WILF 2016 | 2017年 / 10147卷

关键词：

ALGORITHM;

D O I：

10.1007/978-3-319-52962-2_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Multidimensional data streams are a major paradigm in data science. This work focuses on possibilistic clustering algorithms as means to perform clustering of multidimensional streaming data. The proposed approach exploits fuzzy outlier analysis to provide good learning and tracking abilities in both concept shift and concept drift.

引用

页码：139 / 150

页数：12

共 50 条

[21] Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams
Korycki, Lukasz
Krawczyk, Bartosz
2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
[22] The ubiquitous self-organizing map for non-stationary data streams
Silva B.
Marques N.C.
J. Big Data, 1 (1):
[23] Detection of unusual events and trends in complex non-stationary data streams
Charlton-Perez, C.
Perez, R. B.
Protopopescu, V.
Worley, B. A.
ANNALS OF NUCLEAR ENERGY, 2011, 38 (2-3) : 489 - 510
[24] An online adaptive classifier ensemble for mining non-stationary data streams
Verdecia-Cabrera, Alberto
Blanco, Isvani Frias
Carvalho, Andre C. P. L. F.
INTELLIGENT DATA ANALYSIS, 2018, 22 (04) : 787 - 806
[25] NON-STATIONARY HOMOGENEOUS CLUSTERING OF VACANCIES
VLADIMIR.VI
KHANNANO.SK
PHYSICS OF METALS AND METALLOGRAPHY-USSR, 1968, 26 (03): : 25 - &
[26] Learning manifolds from non-stationary streams
Suchismit Mahapatra
Varun Chandola
Journal of Big Data, 11
[27] Learning manifolds from non-stationary streams
Mahapatra, Suchismit
Chandola, Varun
JOURNAL OF BIG DATA, 2024, 11 (01)
[28] Online density estimation over high-dimensional stationary and non-stationary data streams
Majdara, Aref
Nooshabadi, Saeid
DATA & KNOWLEDGE ENGINEERING, 2019, 123
[29] Online Clustering of Non-stationary Data Using Incremental and Decremental SVM
Boukharouba, Khaled
Lecoeuche, Stephane
ARTIFICIAL NEURAL NETWORKS - ICANN 2008, PT I, 2008, 5163 : 336 - 345
[30] The graded possibilistic clustering model
Masulli, F
Rovetta, S
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 791 - 796

← 1 2 3 4 5 →