A Lightweight Data Preprocessing Strategy with Fast Contradiction Analysis for Incremental Classifier Learning
المؤلفون المشاركون
Biuk-Aghai, Robert P.
Si, Yain-whar
Yap, Bee Wah
Fong, Simon
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-03-01
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
A prime objective in constructing data streaming mining models is to achieve good accuracy, fast learning, and robustness to noise.
Although many techniques have been proposed in the past, efforts to improve the accuracy of classification models have been somewhat disparate.
These techniques include, but are not limited to, feature selection, dimensionality reduction, and the removal of noise from training data.
One limitation common to all of these techniques is the assumption that the full training dataset must be applied.
Although this has been effective for traditional batch training, it may not be practical for incremental classifier learning, also known as data stream mining, where only a single pass of the data stream is seen at a time.
Because data streams can amount to infinity and the so-called big data phenomenon, the data preprocessing time must be kept to a minimum.
This paper introduces a new data preprocessing strategy suitable for the progressive purging of noisy data from the training dataset without the need to process the whole dataset at one time.
This strategy is shown via a computer simulation to provide the significant benefit of allowing for the dynamic removal of bad records from the incremental classifier learning process.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Fong, Simon& Biuk-Aghai, Robert P.& Si, Yain-whar& Yap, Bee Wah. 2015. A Lightweight Data Preprocessing Strategy with Fast Contradiction Analysis for Incremental Classifier Learning. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1072940
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Fong, Simon…[et al.]. A Lightweight Data Preprocessing Strategy with Fast Contradiction Analysis for Incremental Classifier Learning. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1072940
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Fong, Simon& Biuk-Aghai, Robert P.& Si, Yain-whar& Yap, Bee Wah. A Lightweight Data Preprocessing Strategy with Fast Contradiction Analysis for Incremental Classifier Learning. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1072940
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1072940
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر