الگوریتم نیمه نظارتی جمعی با استفاده از معیار انتخاب مبتنی بر آستانه امتیاز اطمینان در جریان-داده های غیر ایستا
الموضوعات :
شیرین خضری
1
,
جعفر تنها
2
,
علی احمدی
3
,
آرش شريفي
4
1 - دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران
2 - دانشگا آمستردام هلند
3 - دانشگاه اوساکا ژاپن
4 - دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران
الکلمات المفتاحية: الگوریتم‌های طبقه‌بندی نیمه‌نظارتیمعیار انتخابمدل‌های طبقه‌بندی جمعیتغییر مفهومجریان‌کاوی داده,
ملخص المقالة :
در این مقاله، یک الگوریتم طبقه‌بندی نیمه‌نظارتی جمعی با استفاده از معیار انتخاب مبتنی بر آستانه امتياز اطمينان تحت عنوان SSE-CBS در محیط‌های غیر ایستا ارائه می‌شود. رویکرد پیشنهادی از داده‌های دارای برچسب و فاقد برچسب با هدف مقابله با انواع تغییر مفهوم در جریان داده‌ها استفاده می‌کند. SSE-CBS مکانیزم مشهور وزن‌دهی بر اساس دقت الگوریتم‌های جمعی مبتنی بر بلوک را با ماهیت افزایشی الگوریتم درخت هافدینگ تلفیق می‌کند. الگوریتم پیشنهادی به طور تجربی با 8 رویکرد منطبق بر جدیدترین دستاوردها، از جمله مدل‌های طبقه‌بندی نظارتی، نیمه‌نظارتی، منفرد و الگوریتم‌های جمعی مبتنی بر بلوک روی مجموعه داده‌های متنوع مقایسه شده است. بر اساس نتایج تجربی، SSE-CBS بهترین میانگین دقت طبقه‌بندی را نسبت به سایر رویکردهای نیمه‌نظارتی داراست و قادر است در محیط‌های دارای تغییر مفهوم با محدودیت داده برچسب‌دار عملکرد مناسبی داشته باشد.
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