Results 201 to 210 of about 147,861 (266)

Integrating machine learning and explainable AI for employee attrition prediction in HR analytics. [PDF]

open access: yesSci Rep
Al-Ali M   +5 more
europepmc   +1 more source

The Job-Shop Problem and Immediate Selection

Annals of Operations Research, 1994
For solving job-shop problems using a branch-and-bound method it is important to introduce order relations before the branching starts in order to reduce the computational effort. This may be done by using immediate selection methods to fix as many order relations as possible.
Peter Brucker   +2 more
openaire   +3 more sources

Job selection decisions

PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199), 2002
Summary form only given. Few decisions in one's life are as important as choosing the right job. This conundrum combined with deciding whether to accept a new job in a different city, is surely a thought provoking and soul-searching choice. Emotions can run high in such a situation, and the wrong outcome could result if proper attention is not paid to ...
C. Duarte, R. Gilmore, C. Yang
openaire   +1 more source

Selecting that First Job

Cornell Hotel and Restaurant Administration Quarterly, 1997
From a preselected list of 20 items that may influence students' impressions of potential employers, 550 U.S. hospitality students from 19 schools ranked those factors and assigned those involving personal interaction the highest ratings. The most influential factors were (1) Experience with the company as a consumer; (2) Word of mouth from faculty ...
Michael P. Sciarini, Robert H. Woods
openaire   +1 more source

Intelligent job selection for distributed scheduling

[1993] Proceedings. The 13th International Conference on Distributed Computing Systems, 2002
A key issue in distributed scheduling is selecting appropriate jobs to transfer. A job selection policy that considers the diversity of job behaviors is proposed. A mechanism used in artificial neural networks, called weight climbing, is employed. Using this mechanism, a distributed scheduler can learn the behavior of a job from its past executions and
Chang-Jia Wang   +2 more
openaire   +1 more source

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