Human Capital Systems, Analytics, and Data Mining Human Capital Systems, Analytics, and Data Mining
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Human Capital Systems, Analytics, and Data Mining

    • $59.99
    • $59.99

Publisher Description

Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining. The main purpose of this book is to provide a rich tool set of methods and tutorials for Human Capital Management Systems (HCMS) database modeling, analytics, interactive dashboards, and data mining that is independent of any human capital software vendor offerings and is equally usable and portable among both commercial and internally developed HCMS.

The book begins with an overview of HCMS, including coverage of human resource systems history and current HCMS Computing Environments. It next explores relational and dimensional database management concepts and principles. HCMS Instructional databases developed by the Author for use in Graduate Level HCMS and Compensation Courses are used for database modeling and dashboard design exercises.

Exciting knowledge discovery and research Tutorials and Exercises using Online Analytical Processing (OLAP) and data mining tools through replication of actual original pay equity research by the author are included. New findings concerning Gender Based Pay Equity Research through the lens Comparable Worth and Occupational Mobility are covered extensively in Human Capital Metrics, Analytics and Data Mining Chapters.

GENRE
Business & Personal Finance
RELEASED
2018
September 3
LANGUAGE
EN
English
LENGTH
294
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
40.3
MB
High-Performance Web Databases High-Performance Web Databases
2000
Business Information Systems Business Information Systems
2012
Dynamic Quality Management for Cloud Labor Services Dynamic Quality Management for Cloud Labor Services
2014
Enterprise Information Systems Enterprise Information Systems
2011
Perspectives in Business Informatics Research Perspectives in Business Informatics Research
2011
Enterprise Information Systems Enterprise Information Systems
2008
Social Networks with Rich Edge Semantics Social Networks with Rich Edge Semantics
2017
Exploratory Data Analysis Using R Exploratory Data Analysis Using R
2018
RapidMiner RapidMiner
2016
Data Mining for Design and Marketing Data Mining for Design and Marketing
2009
Geographic Data Mining and Knowledge Discovery Geographic Data Mining and Knowledge Discovery
2009
Biological Data Mining Biological Data Mining
2009