Web-Logs Prediction with Web Mining

Hassan, Muhammad Umair; Shaukat, Kamran; Niu, Dongmie; Mahreen, Sundas; Ma, Yingjun; Zhao, Xiuyang; Shabir, Muhammad

doi:10.1109/imcec.2018.8469256

Cited by 4 publications

(2 citation statements)

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“…The rapid growth of the Web in the past two decades has made it the largest publicly accessible data source in the world [1], [2]. Web mining aims to discover potential useful information and patterns from the Web [3], [4]. With the ever-increasing demand for Web-enabled management of knowledge, today's organizations have to address the multiple facets of process, standards, technology, data mining, and warehousing management.…”

Section: Introductionmentioning

confidence: 99%

“…Web mining can be considered a multidisciplinary topic. In order to have valuable insights, make more informed business decisions and gain competitive advantage, e-business organizations are offered a set of techniques and tools for extracting and analyzing web data ( [3], [4], [5], [6], [7]). For transforming the data into useful business information, knowledge of both business and ICT is needed.…”

Section: Introductionmentioning

confidence: 99%

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On the Road With the Erasmus Ip Wisdom Project - Improving an on-Line Business by Applying Web Mining Techniques

Seruca¹,

Dias²

2019

ICERI Proceedings

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The Web can be regarded as the largest database available and presents a challenging task for efficient design and access. Web mining aims at the discovery and analysis of useful information from the Web through the use of data mining techniques.In this paper we report our experiences in applying web mining techniques to an e-business platform of a retail company. The company related Web content data and its usage are analyzed with data mining tools. The underlying idea will be to address web marketing purposes, suggesting improvements for both the on-line business and the website. The work here reported was developed in the context of an Erasmus Intensive Programme (IP) project.

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