0000000000502581
AUTHOR
Pitic Antoniu Gabriel
showing 3 related works from this author
CRAWLING - A SOLUTION FOR EFFICIENT E-GOVERNMENT. STUDY ON ANTI-COUNTERFEITING TRADE AGREEMENT (ACTA) FOCUSED ON SOCIAL MEDIA
2012
The applicability of Web 2.0 as an e-Government tool is still a fully unexploited area due to the software novelty in this regard and the lack of commitment of public bodies. The current paper sets out to offer a solution to acknowledge information of public interest that might be of use to an e-Citizen. Currently, social networks have proven useful in keeping in touch with friends, research, collaboration and political activism. Data mining through social network is a relatively new subject, which has been intensely approached by researchers as of late. The results presented in the current paper have been obtained using a crawler on Twitter.
DOCUMENT MANAGEMENT USING CLUSTERING ALGORITHMS
2015
Document management systems are complex systems, which offer services as storage, versioning, metadata, security, as well as indexing and retrieval capabilities. Large numbers of documents could be automatically grouped into classes of documents, which contain similar information. Therefor we propose to use clustering methods in order to group the documents. Clustering is an important process in text mining used for groping documents based on their contents in order to extract knowledge. In this paper we will present some requirements for clustering algorithms for a document management system
STUDENT ENROLEMENT MANAGEMENT. CASE STUDY AT THE COMPUTER SCIENCE DEPARTMENT
2015
In this paper, we will present a case study regarding the current situation in the strategic management of student enrolment for the Department of Computer Science, Engineering Faculty. We will present some theoretical aspects of the strategic enrollment management applied by the Computer Science Department. Based on a questionnaire we will identify the geographical area where the students came from and their motivations to enroll to this specialization. In addition, we will analyze the expectations of students regarding their future employment.