SDG - A system for synthetic data generation

Pavel Koytchev Azalov, F. Zlatarova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The synthetic generation of data is appropriate in many cases. The data generated can be of different nature: program texts, tables, XML documents, etc. The application area of such data comprises not only the scientific research and analysis of the real program system features, but the teaching activity, too. The generation of texts of different problems, belonging to the same type, represents such a case. The problems could be used for self-preparation as after-class training, for solving exercises in class, or for assessing the students' knowledge in a given discipline. This paper discusses the philosophy and development of a system generated sets of synthetic program texts of the same type. The examples considered are for teaching purpose.

Original languageEnglish (US)
Title of host publicationProceedings - ITCC 2003, International Conference on Information Technology
Subtitle of host publicationComputers and Communications
EditorsPradip K. Srimani, Emma Regentova, Ray Hashemi, Elaine Lawrence, Mario Cannataro, Amanda Spink, Wolf Bein
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages69-75
Number of pages7
ISBN (Electronic)0769519164, 9780769519166
DOIs
StatePublished - Jan 1 2003
EventInternational Conference on Information Technology: Computers and Communications, ITCC 2003 - Las Vegas, United States
Duration: Apr 28 2003Apr 30 2003

Other

OtherInternational Conference on Information Technology: Computers and Communications, ITCC 2003
CountryUnited States
CityLas Vegas
Period4/28/034/30/03

Fingerprint

Teaching
XML
Students

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Media Technology
  • Computer Networks and Communications
  • Software

Cite this

Azalov, P. K., & Zlatarova, F. (2003). SDG - A system for synthetic data generation. In P. K. Srimani, E. Regentova, R. Hashemi, E. Lawrence, M. Cannataro, A. Spink, & W. Bein (Eds.), Proceedings - ITCC 2003, International Conference on Information Technology: Computers and Communications (pp. 69-75). [1197502] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITCC.2003.1197502
Azalov, Pavel Koytchev ; Zlatarova, F. / SDG - A system for synthetic data generation. Proceedings - ITCC 2003, International Conference on Information Technology: Computers and Communications. editor / Pradip K. Srimani ; Emma Regentova ; Ray Hashemi ; Elaine Lawrence ; Mario Cannataro ; Amanda Spink ; Wolf Bein. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 69-75
@inproceedings{0c4ed4eb02744238a5948e763daa9252,
title = "SDG - A system for synthetic data generation",
abstract = "The synthetic generation of data is appropriate in many cases. The data generated can be of different nature: program texts, tables, XML documents, etc. The application area of such data comprises not only the scientific research and analysis of the real program system features, but the teaching activity, too. The generation of texts of different problems, belonging to the same type, represents such a case. The problems could be used for self-preparation as after-class training, for solving exercises in class, or for assessing the students' knowledge in a given discipline. This paper discusses the philosophy and development of a system generated sets of synthetic program texts of the same type. The examples considered are for teaching purpose.",
author = "Azalov, {Pavel Koytchev} and F. Zlatarova",
year = "2003",
month = "1",
day = "1",
doi = "10.1109/ITCC.2003.1197502",
language = "English (US)",
pages = "69--75",
editor = "Srimani, {Pradip K.} and Emma Regentova and Ray Hashemi and Elaine Lawrence and Mario Cannataro and Amanda Spink and Wolf Bein",
booktitle = "Proceedings - ITCC 2003, International Conference on Information Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

Azalov, PK & Zlatarova, F 2003, SDG - A system for synthetic data generation. in PK Srimani, E Regentova, R Hashemi, E Lawrence, M Cannataro, A Spink & W Bein (eds), Proceedings - ITCC 2003, International Conference on Information Technology: Computers and Communications., 1197502, Institute of Electrical and Electronics Engineers Inc., pp. 69-75, International Conference on Information Technology: Computers and Communications, ITCC 2003, Las Vegas, United States, 4/28/03. https://doi.org/10.1109/ITCC.2003.1197502

SDG - A system for synthetic data generation. / Azalov, Pavel Koytchev; Zlatarova, F.

Proceedings - ITCC 2003, International Conference on Information Technology: Computers and Communications. ed. / Pradip K. Srimani; Emma Regentova; Ray Hashemi; Elaine Lawrence; Mario Cannataro; Amanda Spink; Wolf Bein. Institute of Electrical and Electronics Engineers Inc., 2003. p. 69-75 1197502.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - SDG - A system for synthetic data generation

AU - Azalov, Pavel Koytchev

AU - Zlatarova, F.

PY - 2003/1/1

Y1 - 2003/1/1

N2 - The synthetic generation of data is appropriate in many cases. The data generated can be of different nature: program texts, tables, XML documents, etc. The application area of such data comprises not only the scientific research and analysis of the real program system features, but the teaching activity, too. The generation of texts of different problems, belonging to the same type, represents such a case. The problems could be used for self-preparation as after-class training, for solving exercises in class, or for assessing the students' knowledge in a given discipline. This paper discusses the philosophy and development of a system generated sets of synthetic program texts of the same type. The examples considered are for teaching purpose.

AB - The synthetic generation of data is appropriate in many cases. The data generated can be of different nature: program texts, tables, XML documents, etc. The application area of such data comprises not only the scientific research and analysis of the real program system features, but the teaching activity, too. The generation of texts of different problems, belonging to the same type, represents such a case. The problems could be used for self-preparation as after-class training, for solving exercises in class, or for assessing the students' knowledge in a given discipline. This paper discusses the philosophy and development of a system generated sets of synthetic program texts of the same type. The examples considered are for teaching purpose.

UR - http://www.scopus.com/inward/record.url?scp=84978879474&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978879474&partnerID=8YFLogxK

U2 - 10.1109/ITCC.2003.1197502

DO - 10.1109/ITCC.2003.1197502

M3 - Conference contribution

AN - SCOPUS:84978879474

SP - 69

EP - 75

BT - Proceedings - ITCC 2003, International Conference on Information Technology

A2 - Srimani, Pradip K.

A2 - Regentova, Emma

A2 - Hashemi, Ray

A2 - Lawrence, Elaine

A2 - Cannataro, Mario

A2 - Spink, Amanda

A2 - Bein, Wolf

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Azalov PK, Zlatarova F. SDG - A system for synthetic data generation. In Srimani PK, Regentova E, Hashemi R, Lawrence E, Cannataro M, Spink A, Bein W, editors, Proceedings - ITCC 2003, International Conference on Information Technology: Computers and Communications. Institute of Electrical and Electronics Engineers Inc. 2003. p. 69-75. 1197502 https://doi.org/10.1109/ITCC.2003.1197502