Applying Machine Learning to Big Data Streams An overview of challenges

被引：0

作者：

Augenstein, Christoph ^{[1
]}

Spangenberg, Norman ^{[1
]}

Franczyk, Bogdan ^{[2
]}

机构：

[1] Univ Leipzig, Informat Syst Inst, Leipzig, Germany

[2] Wroclaw Univ Econ, Ul Komandorska 118-120, PL-53345 Wroclaw, Poland

来源：

2017 IEEE 4TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE (ISCMI) | 2017年

关键词：

machine learning; big data; data streams; challenges; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The importance of processing stream data increases with new technologies and new use cases. Applying machine learning to stream data and process them in real time leads to challenges in different ways. Model changes, concept drift or insufficient time to train models are a few examples. We illustrate big data characteristics and machine learning techniques derived from literature and conclude with available approaches and drawbacks.

引用

页码：25 / 29

页数：5

共 25 条

[1]

Abbasi A, 2016, J ASSOC INF SYST, V17, pI

[2]

[Anonymous], 2017, IEEE ACCESS, DOI DOI 10.1109/ACCESS.2017.2696365

[3] Big Data Deep Learning: Challenges and Perspectives [J].

Chen, Xue-Wen ;

Lin, Xiaotong .

IEEE ACCESS, 2014, 2 :514-525

[4]

Dundar M, 2007, 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, P756

[5] Challenges of Big Data analysis [J].

Fan, Jianqing ;

Han, Fang ;

Liu, Han .

NATIONAL SCIENCE REVIEW, 2014, 1 (02) :293-314

[6] On evaluating stream learning algorithms [J].

Gama, Joao ;

Sebastiao, Raquel ;

Rodrigues, Pedro Pereira .

MACHINE LEARNING, 2013, 90 (03) :317-346

[7]

Gepperth A, 2016, P EUR S ART NEUR NET, P357

[8] A Survey on Ensemble Learning for Data Stream Classification [J].

Gomes, Heitor Murilo ;

Barddal, Jean Paul ;

Enembreck, Fabricio ;

Bifet, Albert .

ACM COMPUTING SURVEYS, 2017, 50 (02)

[9]

Heudecker N., 2016, SURVEY ANAL BIG DATA

[10] Big Data and Its Technical Challenges [J].

Jagadish, H. V. ;

Gehrke, Johannes ;

Labrinidis, Alexandros ;

Papakonstantinou, Yannis ;

Patel, Jignesh M. ;

Ramakrishnan, Raghu ;

Shahabi, Cyrus .

COMMUNICATIONS OF THE ACM, 2014, 57 (07) :86-94

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