On expressiveness and uncertainty awareness in rule-based classification for data streams

Thien Le; Frederic Stahl; Mohamed Medhat Gaber; João Bártolo Gomes; Giuseppe Di Fatta

doi:10.1016/j.neucom.2017.05.081

On expressiveness and uncertainty awareness in rule-based classification for data streams

Thien Le
, Frederic Stahl^*
, Mohamed Medhat Gaber
, João Bártolo Gomes
, Giuseppe Di Fatta

^*Corresponding author for this work

University of Reading
DataRobot, Inc.

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Original language	English
Pages (from-to)	127-141
Number of pages	15
Journal	Neurocomputing
Volume	265
DOIs	https://doi.org/10.1016/j.neucom.2017.05.081
Publication status	Published (VoR) - 22 Nov 2017

Funding

The findings reported in this paper are part of the ?Fast Generalised Rule Induction? project, funded by EPSRC, Reference EP/M016870/1.

Keywords

Abstaining
Big Data Analytics
Classification
Data Stream Mining
Expressiveness
Modular classification rule induction

Access to Document

10.1016/j.neucom.2017.05.081

Cite this

@article{911857b12ce847219dcb46278c30ff79,

title = "On expressiveness and uncertainty awareness in rule-based classification for data streams",

keywords = "Abstaining, Big Data Analytics, Classification, Data Stream Mining, Expressiveness, Modular classification rule induction",

author = "Thien Le and Frederic Stahl and Gaber, \{Mohamed Medhat\} and Gomes, \{Jo{\~a}o B{\'a}rtolo\} and Fatta, \{Giuseppe Di\}",

note = "Funding Information: The findings reported in this paper are part of the ?Fast Generalised Rule Induction? project, funded by EPSRC, Reference EP/M016870/1. Publisher Copyright: {\textcopyright} 2017 The Authors",

year = "2017",

month = nov,

day = "22",

doi = "10.1016/j.neucom.2017.05.081",

language = "English",

volume = "265",

pages = "127--141",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier",

}

TY - JOUR

T1 - On expressiveness and uncertainty awareness in rule-based classification for data streams

AU - Le, Thien

AU - Stahl, Frederic

AU - Gaber, Mohamed Medhat

AU - Gomes, João Bártolo

AU - Fatta, Giuseppe Di

N1 - Funding Information: The findings reported in this paper are part of the ?Fast Generalised Rule Induction? project, funded by EPSRC, Reference EP/M016870/1. Publisher Copyright: © 2017 The Authors

PY - 2017/11/22

Y1 - 2017/11/22

KW - Abstaining

KW - Big Data Analytics

KW - Classification

KW - Data Stream Mining

KW - Expressiveness

KW - Modular classification rule induction

UR - https://www.scopus.com/pages/publications/85021256217

UR - https://www.scopus.com/pages/publications/85021256217#tab=citedBy

U2 - 10.1016/j.neucom.2017.05.081

DO - 10.1016/j.neucom.2017.05.081

M3 - Article

AN - SCOPUS:85021256217

SN - 0925-2312

VL - 265

SP - 127

EP - 141

JO - Neurocomputing

JF - Neurocomputing

ER -

On expressiveness and uncertainty awareness in rule-based classification for data streams

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this