A Novel Technique for Behavioral Analytics Using Ensemble Learning Algorithms in E-Commerce

Abstract

The era of E-commerce and availability of data in every field of operations in an enormous volume that implies to Big Data is one of the biggest sources of competitive advantage for the organizations in this digital world. It provides useful information to grow businesses by posting the advertisement and help consumers find the relevant product according to their preferences. The focus of this research is on the advertisement strategies analysis under which a Business employs several online advertisement strategies in order to appeal to the consumer. This research work will present a detailed analysis in user behavioral to use for business or Online Behavioral advertising and provide the framework of how Enterprise Resource Planning systems track the targeted audience and show their content. The paper's prime objective is to classify and effectively run targeted advertising using the data that shows user's retail behavior. This is where an Enterprise Resource Planning driven data will give rise to behavioral analytics. In addition to this, various data streaming technologies are also emphasized that will help to create a pipeline for the huge amount of data in Enterprise Resource Planning's database.

A Novel Cryptocurrency Prediction Method Using Optimum CNN

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“…This CNN-based cryptocurrency price prediction scheme was used to predict prices of four cryptocurrencies, namely, Litecoin, Monero, Bitcoin, and Ethereum. The results demonstrate that the proposed method outperforms other approaches [27][28][29][30], based on prediction errors. This work did not explore the different variants of CNN; these could be considered in future work.…”

Software Reliability Assessment Using Hybrid Neuro-Fuzzy Model

“…It mainly refers to making changes in the program's data to make it compatible in a new environment. The focus is on the software's integrity and reliability to perform accurately with different data sets [26]. There is a good correlation between the changeability and complexity of the software.…”

“…Performance analysis of all the existing models and the proposed model is evaluated in MRE and MARE [26,28]. Results show that the performance calculated of the proposed model is 0.0060 and 0.0121, respectively.…”

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