Web Content Mining for Analyzing Job Requirements in Online Job Advertisements
Ute Heinze, 2015More than 10 pieces in stock at supplier
Product details
The book "Web Content Mining for Analyzing Job Requirements in Online Job Advertisements" by Ute Heinze offers a comprehensive analysis of the job requirements outlined in online job postings. It discusses the development of a web content mining process that integrates various modern methods, including big data analytics, knowledge discovery in databases, data mining, web mining, and natural language processing. These approaches enable companies and job seekers to better understand the requirements of job offers and make informed decisions. The book is a valuable tool for professionals in human resources and for anyone looking to engage with the dynamic demands of the job market. Furthermore, it explores the possibility of integrating the developed process into a comprehensive Recruiting 4.0 framework to support decision-making processes.
Author | Ute Heinze |
Book cover | Paperback |
Year | 2015 |
Item number | 55610560 |
Publisher | Apprimus |
Category | Reference books |
Release date | 4.3.2025 |
Author | Ute Heinze |
Year | 2015 |
Book cover | Paperback |
Year | 2015 |
CO₂-Emission | |
Climate contribution |
30-day right of return if unopened
Compare products
Goes with
Reviews & Ratings
Statutory warranty score
How often does a product of this brand in the «Reference books» category have a defect within the first 24 months?
Source: Galaxus- ApprimusNot enough data
- 1.Anaconda0 %
- 1.Ariston0 %
- 1.Avery Publishing Group0 %
- 1.Beltz0 %
Statutory warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Galaxus- ApprimusNot enough data
- 1.HarperCollins0 days
- AnacondaNot enough data
- AristonNot enough data
- Avery Publishing GroupNot enough data
Return rate
How often is a product of this brand in the «Reference books» category returned?
Source: Galaxus- ApprimusNot enough data
- 1.Beltz0 %
- 1.DTV0 %
- 1.DuMont0 %
- 1.Hachette0 %