Download the fantastic book titled Web Content Mining for Analyzing Job Requirements in Online Job Advertisements written by Ute Heinze, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Web Content Mining for Analyzing Job Requirements in Online Job Advertisements", which was released on 14 December 2015. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Web Content Mining for Analyzing Job Requirements in Online Job Advertisements by Ute Heinze PDF
The analysis of job requirements is crucial for companies and job seekers. The thesis deals with developing a web content mining process for analyzing job requirements in online job advertisements. It combines methods from big data analytics, knowledge discovery in databases, data mining, web mining, and natural language processing. In the future, the web content mining process can be integrated into an overarching recruiting 4.0 framework to support decision-making processes.
Detail About Web Content Mining for Analyzing Job Requirements in Online Job Advertisements PDF
- Author : Ute Heinze
- Publisher : Apprimus Wissenschaftsverlag
- Genre : Technology & Engineering
- Total Pages : 250 pages
- ISBN : 3863593863
- Release Date : 14 December 2015
- PDF File Size : 29,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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