發(fā)布時間：2018-03-16 13:21

  本文選題：人力資源管理　切入點：決策分析　出處：《哈爾濱工業(yè)大學》2017年碩士論文　論文類型：學位論文

【摘要】：人力資源的管理及開發(fā)已成為企業(yè)經(jīng)營管理的核心內(nèi)容之一,從最初僅能作為人力資源業(yè)務管理中的輔助工具,到后來可以開發(fā)出模塊間相對獨立而且功能完善的各個人事事務處理子系統(tǒng),再到實現(xiàn)各個子系統(tǒng)的集成,形成比較完整的一套人力資源信息管理系統(tǒng)。近年來,隨著數(shù)據(jù)挖掘技術的迅速發(fā)展,越來越多的企業(yè)開始重視通過計算機信息系統(tǒng)的輔助來管理經(jīng)營中各項決策活動的完成。國內(nèi)外許多研究機構和企業(yè)都相繼開展了數(shù)據(jù)挖掘技術和決策支持系統(tǒng)的應用研究,并將數(shù)據(jù)挖掘和分析應用到人力資源管理的決策上。本文首先介紹了人力資源管理系統(tǒng)和決策支持系統(tǒng)的國內(nèi)外研究現(xiàn)狀,以及數(shù)據(jù)決策分析在現(xiàn)有人力資源系統(tǒng)的發(fā)展狀況,提出了應用C4.5決策樹算法實現(xiàn)人力資源數(shù)據(jù)挖掘的企業(yè)人力資源決策分析的解決方案,設計并實現(xiàn)了基于數(shù)據(jù)挖掘的企業(yè)人力資源決策系統(tǒng),主要包括業(yè)務管理、數(shù)據(jù)維護、決策分析報表等模塊。人力資源業(yè)務管理功能模塊,為人力資源管理業(yè)務實現(xiàn)信息化、標準化,為人力資源數(shù)據(jù)積累提供主要渠道;人力資源狀態(tài)數(shù)據(jù)的維護、自動生成功能,為數(shù)據(jù)挖掘、決策分析提供數(shù)據(jù)標準;構建人力資源決策分析報表平臺,進行基礎類、專業(yè)類、效率效能類三個層級多個維度的決策分析;系統(tǒng)運用C4.5決策樹算法,構建人力資源決策樹,挖掘數(shù)據(jù)間隱含的邏輯關系,以及通過WEB數(shù)據(jù)挖掘分析,為決策者提供有效的預警信息和決策支持。本系統(tǒng)的應用,可以更有效支持人力資源管理業(yè)務信息化、數(shù)據(jù)規(guī)范化,決策分析智能化,優(yōu)化人力資源業(yè)務流程,提高人力資源管理業(yè)務效率,構建人力資源數(shù)據(jù)中心,并通過對數(shù)據(jù)的挖掘分析,讓數(shù)據(jù)產(chǎn)生價值,為企業(yè)經(jīng)營提供更有效勢的決策支持,推動企業(yè)發(fā)展。
[Abstract]:Development and management of human resources has become one of the core content of the enterprise management, from the original only as a tool of human resource management in business, then can develop the module is relatively independent and perfect function of all the personnel affairs processing subsystem, to realize the integration of subsystems, formed a relatively complete set of human resources information management system. In recent years, with the rapid development of data mining technology, more and more enterprises begin to pay attention to the management of business activities through computer aided decision information system is completed. Many domestic and foreign research institutions and enterprises have carried out the research and application of data mining technology and decision support system, and data mining and analysis applied to the human resource management decision. This paper describes the human resource management system and decision support system The research status at home and abroad, as well as data in decision analysis the current situation of human resources system, put forward the solution analysis of enterprise human resources decision to realize human resources data mining using C4.5 decision tree algorithm, the design and implementation of human resources decision system of enterprise based on data mining, including business management, data maintenance, decision analysis report module. Human resource management module, human resources management and business information, standardization, provides the main channel for human resource data accumulation; maintenance of human resources of state data, automatic generation, data mining, data analysis and decision criteria; build human resources decision analysis report platform based. Professional analysis, the efficiency of class three level multi dimension decision; decision tree algorithm using C4.5 system, the construction of human resource The decision tree, the logical relationship between the data mining and analysis by implicit, WEB data mining, provide effective early warning information and decision support for decision-makers. The application of this system can effectively support human resources management informationization, data standardization, intelligent decision analysis and optimization of human resources business process, improve human resources the construction of human resource management business efficiency, data center, and analyze data to get the data to generate value, provide more effective decision support for business potential, to promote the development of the enterprise.

【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP311.52;TP311.13

【參考文獻】

相關期刊論文 前10條

1 馬建光;姜巍;;大數(shù)據(jù)的概念、特征及其應用[J];國防科技;2013年02期

2 孟小峰;慈祥;;大數(shù)據(jù)管理:概念、技術與挑戰(zhàn)[J];計算機研究與發(fā)展;2013年01期

3 李默涵;李建中;高宏;;數(shù)據(jù)時效性判定問題的求解算法[J];計算機學報;2012年11期

4 廖紅文;周德龍;;AdaBoost及其改進算法綜述[J];計算機系統(tǒng)應用;2012年05期

5 佘楓;;人力資源決策支持系統(tǒng)智能化技術的研究[J];中國管理信息化;2011年24期

6 李瑞;程亞楠;;一種改進的C4.5算法[J];科學技術與工程;2010年27期

7 黃愛輝;;決策樹C4.5算法的改進及應用[J];科學技術與工程;2009年01期

8 喬增偉;孫衛(wèi)祥;;C4.5算法的兩點改進[J];江蘇工業(yè)學院學報;2008年04期

9 李楠;段隆振;陳萌;;決策樹C4.5算法在數(shù)據(jù)挖掘中的分析及其應用[J];計算機與現(xiàn)代化;2008年12期

10 李會;胡笑梅;;決策樹中ID3算法與C4.5算法分析與比較[J];水電能源科學;2008年02期

，

本文編號：1620095