Source:

Creators original owner and donors: Andrea Martiniano (1), Ricardo Pinto Ferreira (2), and Renato Jose Sassi (3).

E-mail address:
andrea.martiniano'@'gmail.com (1) - PhD student;
log.kasparov'@'gmail.com (2) - PhD student;
sassi'@'uni9.pro.br (3) - Prof. Doctor.

Universidade Nove de Julho - Postgraduate Program in Informatics and Knowledge Management.

Address: Rua Vergueiro, 235/249 Liberdade, Sao Paulo, SP, Brazil. Zip code: 01504-001.

Website: http://www.uninove.br/curso/informatica-e-gestao-do-conhecimento/

Data Set Information:

The data set allows for several new combinations of attributes and attribute exclusions, or the modification of the attribute type (categorical, integer, or real) depending on the purpose of the research.The data set (Absenteeism at work - Part I) was used in academic research at the Universidade Nove de Julho - Postgraduate Program in Informatics and Knowledge Management.

Attribute Information:

1. Individual identification (ID)
2. Reason for absence (ICD).
Absences attested by the International Code of Diseases (ICD) stratified into 21 categories (I to XXI) as follows:

I Certain infectious and parasitic diseases
II Neoplasms
III Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism
IV Endocrine, nutritional and metabolic diseases
V Mental and behavioural disorders
VI Diseases of the nervous system
VII Diseases of the eye and adnexa
VIII Diseases of the ear and mastoid process
IX Diseases of the circulatory system
X Diseases of the respiratory system
XI Diseases of the digestive system
XII Diseases of the skin and subcutaneous tissue
XIII Diseases of the musculoskeletal system and connective tissue
XIV Diseases of the genitourinary system
XV Pregnancy, childbirth and the puerperium
XVI Certain conditions originating in the perinatal period
XVII Congenital malformations, deformations and chromosomal abnormalities
XVIII Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified
XIX Injury, poisoning and certain other consequences of external causes
XX External causes of morbidity and mortality
XXI Factors influencing health status and contact with health services.

And 7 categories without (CID) patient follow-up (22), medical consultation (23), blood donation (24), laboratory examination (25), unjustified absence (26), physiotherapy (27), dental consultation (28).
3. Month of absence
4. Day of the week (Monday (2), Tuesday (3), Wednesday (4), Thursday (5), Friday (6))
5. Seasons (summer (1), autumn (2), winter (3), spring (4))
6. Transportation expense
7. Distance from Residence to Work (kilometers)
8. Service time
9. Age
10. Work load Average/day
11. Hit target
12. Disciplinary failure (yes=1; no=0)
13. Education (high school (1), graduate (2), postgraduate (3), master and doctor (4))
14. Son (number of children)
15. Social drinker (yes=1; no=0)
16. Social smoker (yes=1; no=0)
17. Pet (number of pet)
18. Weight
19. Height
20. Body mass index
21. Absenteeism time in hours (target)

.arff header for Weka:

@relation Absenteeism_at_work

@attribute ID {31.0, 27.0, 19.0, 30.0, 7.0, 20.0, 24.0, 32.0, 3.0, 33.0, 26.0, 29.0, 18.0, 25.0, 17.0, 14.0, 16.0, 23.0, 2.0, 21.0, 36.0, 15.0, 22.0, 5.0, 12.0, 9.0, 6.0, 34.0, 10.0, 28.0, 13.0, 11.0, 1.0, 4.0, 8.0, 35.0}
@attribute Reason_for_absence {17.0, 3.0, 15.0, 4.0, 21.0, 2.0, 9.0, 24.0, 18.0, 1.0, 12.0, 5.0, 16.0, 7.0, 27.0, 25.0, 8.0, 10.0, 26.0, 19.0, 28.0, 6.0, 23.0, 22.0, 13.0, 14.0, 11.0, 0.0}
@attribute Month_of_absence REAL
@attribute Day_of_the_week {5.0, 2.0, 3.0, 4.0, 6.0}
@attribute Seasons {4.0, 1.0, 2.0, 3.0}
@attribute Transportation_expense REAL
@attribute Distance_from_Residence_to_Work REAL
@attribute Service_time INTEGER
@attribute Age INTEGER
@attribute Work_load_Average/day_ REAL
@attribute Hit_target REAL
@attribute Disciplinary_failure {1.0, 0.0}
@attribute Education REAL
@attribute Son REAL
@attribute Social_drinker {1.0, 0.0}
@attribute Social_smoker {1.0, 0.0}
@attribute Pet REAL
@attribute Weight REAL
@attribute Height REAL
@attribute Body_mass_index REAL
@attribute Absenteeism_time_in_hours REAL

Relevant Papers:

Martiniano, A., Ferreira, R. P., Sassi, R. J., & Affonso, C. (2012). Application of a neuro fuzzy network in prediction of absenteeism at work. In Information Systems and Technologies (CISTI), 7th Iberian Conference on (pp. 1-4). IEEE.

Citation Request:

Martiniano, A., Ferreira, R. P., Sassi, R. J., & Affonso, C. (2012). Application of a neuro fuzzy network in prediction of absenteeism at work. In Information Systems and Technologies (CISTI), 7th Iberian Conference on (pp. 1-4). IEEE.

Acknowledgements:
Professor Gary Johns for contributing to the selection of relevant research attributes.
Professor Emeritus of Management
Honorary Concordia University Research Chair in Management
John Molson School of Business
Concordia University
Montreal, Quebec, Canada
Adjunct Professor, OB/HR Division
Sauder School of Business,
University of British Columbia
Vancouver, British Columbia, Canada

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