IMPROVING ROTATION FOREST PERFORMANCE FOR IMBALANCED DATA CLASSIFICATION THROUGH FUZZY CLUSTERING

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Hosseinzadeh Mehrdad; EFTEKHARI MAHDI

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

Seminar Paper

Paper Information

Seminar: INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP)
Year:2015 | Issue:1

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Information Seminar Paper

Title

IMPROVING ROTATION FOREST PERFORMANCE FOR IMBALANCED DATA CLASSIFICATION THROUGH FUZZY CLUSTERING

Author(s)

Hosseinzadeh Mehrdad | EFTEKHARI MAHDI | Issue Writer Certificate

Keywords

IMBALANCED DATA CLASSIFICATION

ENSEMBLE LEARNING

FUZZY CLUSTERING

Abstract

IN THIS PAPER, FUZZY C-MEANS CLUSTERING AND ROTATION FOREST (RF) ARE COMBINED TO CONSTRUCT A HIGH PERFORMANCE CLASSIFIER FOR IMBALANCED DATA CLASSIFICATION. DATA SAMPLES ARE CLUSTERED VIA FUZZY CLUSTERING AND THEN FUZZY MEMBERSHIP FUNCTION MATRIX IS ADDED INTO DATA SAMPLES. THEREFORE, CLUSTERS MEMBERSHIPS OF SAMPLES ARE UTILIZED AS NEW FEATURES THAT ARE ADDED INTO THE ORIGINAL FEATURES. AFTER THAT, RF IS UTILIZED FOR CLASSIFICATION WHERE THE NEW SET OF FEATURES AS WELL AS THE ORIGINAL ONES ARE TAKEN INTO ACCOUNT IN THE FEATURE SUBSPACING PHASE. THE PROPOSED ALGORITHM UTILIZES SMOTE OVERSAMPLING ALGORITHM FOR BALANCING DATA SAMPLES. THE OBTAINED RESULTS CONFIRM THAT OUR PROPOSED METHOD OUTPERFORMS THE OTHER WELL-KNOWN BAGGING ALGORITHMS. ...

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APA: Copy

Hosseinzadeh, Mehrdad, & EFTEKHARI, MAHDI. (2015). IMPROVING ROTATION FOREST PERFORMANCE FOR IMBALANCED DATA CLASSIFICATION THROUGH FUZZY CLUSTERING. INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). SID. https://sid.ir/paper/927460/en

Vancouver: Copy

Hosseinzadeh Mehrdad, EFTEKHARI MAHDI. IMPROVING ROTATION FOREST PERFORMANCE FOR IMBALANCED DATA CLASSIFICATION THROUGH FUZZY CLUSTERING. 2015. Available from: https://sid.ir/paper/927460/en

IEEE: Copy

Mehrdad Hosseinzadeh, and MAHDI EFTEKHARI, “IMPROVING ROTATION FOREST PERFORMANCE FOR IMBALANCED DATA CLASSIFICATION THROUGH FUZZY CLUSTERING,” presented at the INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). 2015, [Online]. Available: https://sid.ir/paper/927460/en

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