The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 19-900
Full Name: Darie Moldovan
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Str. Teodor Mihali, Nr.58-60 400591, Cluj Napoca
Country: ROMANIA
Tel: +40724086064
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E-mail address: darie.moldovan@econ.ubbcluj.ro
Other E-mails: dariemoldovan@yahoo.com
Title of the Paper: A personalized classification of employment offers using data mining methods
Authors as they appear in the Paper: Cristina Ioana Muntean, Darie Moldovan, Ovidiu Veres
Email addresses of all the authors: cristina.muntean@econ.ubbcluj.ro, darie.moldovan@econ.ubbcluj.ro, ovidiu.veres@econ.ubbcluj.ro
Number of paper pages: 8
Abstract: In this paper we describe a method designed for filtering the information available on job portals, according to users' preferences. We started by collecting the information needed crawling the specialized web sites, in order to build the necessary dataset. Testing two classification algorithms (Naïve Bayes and J48) we found that the second obtained higher performances, thus we concluded to be a good candidate for this type of classification and suggested possible applications for users of such web sites.
Keywords: Data mining, Information retrieval, J48, Labor market, Naïve Bayes
EXTENSION of the file: .doc
Special (Invited) Session: A Data Mining Method for Accurate Employment Search on the Web
Organizer of the Session: 202-967
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