Data envelopment analysis assessment machine

Quanling Wei; Hong Yan

Data envelopment analysis assessment machine

Quanling Wei, Hong Yan

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

This word extends the DEA method to a large number DMU evaluation process, called "DEA assessment machine", for evaluating consecutive data. We identify the intersection form of the production possibility set for a given set of DMUs, which is called "training set". The process can then easily assess a newly coming DMU for its different properties, such as technical efficiency, returns to scales and evidence of congestion, by simply checking on a set of linear inequalities. It thus provides an efficient and effective method for dealing with large number of data and can be regarded as a complementary approach for data mining.

Original language	English
Title of host publication	Proceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops
Pages	808-812
Number of pages	5
Publication status	Published - 1 Dec 2006
Event	6th IEEE International Conference on Data Mining - Workshops, ICDM 2006 - Hong Kong, Hong Kong Duration: 18 Dec 2006 → 18 Dec 2006

Conference

Conference	6th IEEE International Conference on Data Mining - Workshops, ICDM 2006
Country/Territory	Hong Kong
City	Hong Kong
Period	18/12/06 → 18/12/06

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{66fe08ac5c234ebfaec68c054c242678,

title = "Data envelopment analysis assessment machine",

abstract = "This word extends the DEA method to a large number DMU evaluation process, called {"}DEA assessment machine{"}, for evaluating consecutive data. We identify the intersection form of the production possibility set for a given set of DMUs, which is called {"}training set{"}. The process can then easily assess a newly coming DMU for its different properties, such as technical efficiency, returns to scales and evidence of congestion, by simply checking on a set of linear inequalities. It thus provides an efficient and effective method for dealing with large number of data and can be regarded as a complementary approach for data mining.",

author = "Quanling Wei and Hong Yan",

year = "2006",

month = dec,

day = "1",

language = "English",

isbn = "0769527027",

pages = "808--812",

booktitle = "Proceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops",

note = "6th IEEE International Conference on Data Mining - Workshops, ICDM 2006 ; Conference date: 18-12-2006 Through 18-12-2006",

}

TY - GEN

T1 - Data envelopment analysis assessment machine

AU - Wei, Quanling

AU - Yan, Hong

PY - 2006/12/1

Y1 - 2006/12/1

N2 - This word extends the DEA method to a large number DMU evaluation process, called "DEA assessment machine", for evaluating consecutive data. We identify the intersection form of the production possibility set for a given set of DMUs, which is called "training set". The process can then easily assess a newly coming DMU for its different properties, such as technical efficiency, returns to scales and evidence of congestion, by simply checking on a set of linear inequalities. It thus provides an efficient and effective method for dealing with large number of data and can be regarded as a complementary approach for data mining.

AB - This word extends the DEA method to a large number DMU evaluation process, called "DEA assessment machine", for evaluating consecutive data. We identify the intersection form of the production possibility set for a given set of DMUs, which is called "training set". The process can then easily assess a newly coming DMU for its different properties, such as technical efficiency, returns to scales and evidence of congestion, by simply checking on a set of linear inequalities. It thus provides an efficient and effective method for dealing with large number of data and can be regarded as a complementary approach for data mining.

UR - https://www.scopus.com/pages/publications/78449293646

M3 - Conference article published in proceeding or book

SN - 0769527027

SN - 9780769527024

SP - 808

EP - 812

BT - Proceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops

T2 - 6th IEEE International Conference on Data Mining - Workshops, ICDM 2006

Y2 - 18 December 2006 through 18 December 2006

ER -

Data envelopment analysis assessment machine

Abstract

Conference

ASJC Scopus subject areas

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