E-Commerce for Future & Trends
Volume 7, Issue 3 (2020)
Published
Table of contents
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Review Paper on Analyzing the Data using Bigdata and Hadoop
Abstract: AbstractIn this world of information, the term ‘Big data’ has emerged with new opportunities and challenges to deal with massive amount of data. Big data has earned a place of great importance and is becoming the choice for new researches. This paper presents an overview on Big data, technical challenges and Hadoop. An overview on technologies used by big data application to handle the massive data are Hadoop, Map Reduce, …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 3, 2020 · pp. 1–9 Read article
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Prediction of Fake Reviews and Review Sentiments using Sentiment Analysis
Abstract: AbstractAs almost all products and services are available online hence e-commerce is growing rapidly. These online services provide the facility of writing the review about the product by the customers. Whenever any customer wants to buy the product, he believes in reviews given by other customers. But some spam reviews are given by individual of organization itself to increase the sale of product or competitor of other brand to degrade …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 3, 2020 · pp. 10–14 Read article
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Big Data in Marketing
Abstract: AbstractMarketers live in a world that is creating 2.5 Exabyte of data each and every day. Marketing researchers and analysts have relied on two types of data: primary data and secondary data. Primary data is collected to answer specific research questions like “What new features do our customers want added to our product?” Data generation, storage capacity, processing power and analytical capacity increase had created a technological phenomenon named big …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 3, 2020 · pp. 15–22 Read article
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Big Data Tools: A Survey
Abstract: AbstractNowadays, a large volume of data is generated in the form of text, voice, video, images, and sound. It is a very challenging job to handle and to get processed these different types of data. It is a very laborious process to analyze big data by using traditional data processing applications. Due to huge scattered file systems, a big data analysis is a difficult task. So, to analyze big data, …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 3, 2020 · pp. 23–34 Read article
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Overview of Query Materialization
Abstract: AbstractA materialized view (MV) is the pre-calculated (materialized) result of a query. Unlike a simple view, the result of a materialized view is stored somewhere, generally in a table. Materialized views are used when immediate response is needed and the query where the materialized view bases on would take too long to produce a result. Materialized views have to be refreshed once in a while. It depends on the requirements …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 3, 2020 · pp. 35–45 Read article