Implementation of Sequential Pattern Neural Classifier in E-Commerce Data Behavioral Characteristic Extraction

A Neural Associative Pattern Classifier

In this work, we study the behaviour of the Bidirectional Associative Memory (BAM) in terms of the supporting neural structure, with a view to its possible improvements as a useful Pattern Classifier by means of class associations from unknown inputs, once mentioned classes have been previously defined by one or even more prototypes. The best results have been obtained by suitably choosing the ...

Implementation Issues for E-Commerce

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

Evaluating E-commerce Efficiency in Provinces of Iran with Data Envelopment Analysis Approach

This paper presents a model for assessing the efficiency of e-commerce in the provinces of IRAN with data envelopment analysis (DEA). For this purpose, first, we assess the factors that affect to growth and use of e-commerce in Iran, then to show the efficiency of IRAN's provinces on e-commerce, data analysis model applied. Results show the average efficiency in IRAN in year 2016 compared to ye...

Adaptive Intrusion Detection Based on Machine Learning: Feature Extraction, Classifier Construction and Sequential Pattern Prediction

* Corresponding author. This work is supported by the National Natural Science Foundation of China under Grant 60303012 Abstract: In recent years, intrusion detection has emerged as an important technique for network security. Due to the large volumes of security audit data as well as complex and dynamic properties of intrusion behaviors, to optimize the performance of intrusion detection syste...