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shenjianZ a39d8b2fd2 feat: 初始化员工缺勤分析系统项目

搭建完整的前后端分离架构，实现数据概览、预测分析、聚类分析等核心功能模块

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  feat: 初始化员工缺勤分析系统项目

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2026-03-08 14:48:26 +08:00

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Data Set Name:

Absenteeism at work - Part I

Abstract:

The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil.

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 Type: Multivariate Univariate Sequential Time-Series Text Domain-Theory Task: Classification Regression Clustering Causal Discovery Attribute Type: Categorical Integer Real Area: Life Sciences Physical Sciences CS / Engineering Social Sciences Business Game Other Format Type: Matrix Non-Matrix Does your data set contain missing values? Yes No

Number of Instances (records in your data set): Number of Attributes (fields within each record): -----

Relevant 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:

Individual identification (ID)
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 Requests / Acknowledgements:

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

Attribute Information:

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

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 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 Drinker {1.0, 0.0} @attribute 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

8.9 KiB Raw Blame History

8.9 KiB

Raw Blame History