Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

346
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

120
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

PROPOSING A METHOD TO CLASSIFY TEXTS USING DATA MINING

Pages

  125-137

Abstract

 Today a significant part of available data is saved in text database or TEXT DOCUMENTS. The most important thing is to organize these documents. One way to organize TEXT DOCUMENTS is to CLASSIFY them. To CLASSIFY texts is to assign TEXT DOCUMENTS to their actual categories. This has two main steps, i.e. feature- and learning algorithm selection. There have been several methods suggested to CLASSIFY TEXT DOCUMENTS. In this paper, we propose a combined method to do this more efficiently. When selecting features, the proposed method uses filtering in order to reduce complexity and it is implemented using naïve BAYES and DECISION TREE categories. Results indicate advantages of this combined method to individual CLASSIFYing.

Cites

  • No record.

    • References

    Cite

    APA: Copy

    ROSTAMI, MOHAMMAD, AYAT, SEYED SAEED, ATTARZADEH, IMAN, & SAGHARI, FARID. (2015). PROPOSING A METHOD TO CLASSIFY TEXTS USING DATA MINING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 6(4 (22)), 125-137. SID. https://sid.ir/paper/328814/en

    Vancouver: Copy

    ROSTAMI MOHAMMAD, AYAT SEYED SAEED, ATTARZADEH IMAN, SAGHARI FARID. PROPOSING A METHOD TO CLASSIFY TEXTS USING DATA MINING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2015;6(4 (22)):125-137. Available from: https://sid.ir/paper/328814/en

    IEEE: Copy

    MOHAMMAD ROSTAMI, SEYED SAEED AYAT, IMAN ATTARZADEH, and FARID SAGHARI, “PROPOSING A METHOD TO CLASSIFY TEXTS USING DATA MINING,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 6, no. 4 (22), pp. 125–137, 2015, [Online]. Available: https://sid.ir/paper/328814/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top