An Optimal Feature Selection by Using Differential Evolution for Effective Breast Cancer Diagnosis

  • سال انتشار: 1396
  • محل انتشار: اولین کنفرانس بین المللی فناوری اطلاعات؛ دولت الکترونیک و شهر هوشمند
  • کد COI اختصاصی: RITCCCONF01_082
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 145
دانلود فایل این مقاله

نویسندگان

Hosein Salami

Department of Computer Engineering, Ferdows higher education institute, Mashhad, Iran

Hamid Tabatabaee

Department of Computer Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran

Hamid Aslani

Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran

Freshteh Sadat Hosseini

Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran

چکیده

With the development of clinical technologies, different tumor features have been collected for breast cancer diagnosis. The purpose of this study was breast cancer diagnosis based on the feature selection. Feature extraction and selection are critical to the quality of classifiers founded through data mining methods. Differential evolution lot of attention as a way to attract the powerful search and successfully used in a variety of applications including pattern recognition. One of the most important tasks in many pattern recognition systems to identify a subset of useful features that can effectively represent the problem. More specifically, the large number of features can affect the accuracy of the classification and the learning system. To solve these problems, we have to identify the subset of breast cancer features, differential evolution and a wheel based search strategy have been used. Use Feature selection to reduce search space and get the best features of breast cancer to get the best classification accuracy is made.

کلیدواژه ها

Feature Selection, Differential Evolution, Breast Cancer, Classification

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.