Skills and Vacancy Analysis with Data Mining Techniques

Author： Wowczko Izabela A.  

Publisher： MDPI

E-ISSN： 2227-9709|2|4|31-49

ISSN： 2227-9709

Source： Informatics, Vol.2, Iss.4, 2015-11, pp. : 31-49

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Base Oils Biodegradability Prediction with Data Mining Techniques

By Abdelmelek Sihem Ben   Saidane Saloua   Trabelsi Malika  

Algorithms, Vol. 3, Iss. 1, 2010-02 ,pp. : 92-99

MDPI

Access to resources Recommend Favorite

From data to knowledge mining

By  

AI EDAM, Vol. 23, Iss. 4, 2009-11 ,pp. : 427-441

Cambridge University Press

Access to resources Recommend Favorite

Analysis of Attraction Features of Tourism Destinations in a Mega-City Based on Check-in Data Mining—A Case Study of Shenzhen, China

By Gu Zhihui   Zhang Yan   Chen Yu   Chang Xiaomeng  

ISPRS International Journal of Geo-Information, Vol. 5, Iss. 11, 2016-11 ,pp. : 210-210

MDPI

Access to resources Recommend Favorite

Spatiotemporal Data Mining: A Computational Perspective

By Shekhar Shashi   Jiang Zhe   Ali Reem Y.   Eftelioglu Emre   Tang Xun   Gunturi Venkata M. V.   Zhou Xun  

ISPRS International Journal of Geo-Information, Vol. 4, Iss. 4, 2015-10 ,pp. : 2306-2338

MDPI

Access to resources Recommend Favorite

Association Rule Hiding in Privacy Preserving Data Mining

By  

International Journal of Information Security and Privacy (IJISP), Vol. 12, Iss. 3, 2018-07 ,pp. : 141-163

IGI Global_journal

Access to resources Recommend Favorite