Manuscript Number : IJSRST21737150
Android App with PaaS Solution for Web Mining of E-Mail Addresses and its Triggering Mail
Authors(2) :-Neha Gupta, Ankur Varshney Web is a collection of inter-related files on one or more web servers and the dimension of World Wide Web (The Internet) is in billions in terms of web pages and increasing rapidly. The web data includes web pages, web links, objects on the web and web logs. Web mining is one of the data mining domains where data mining techniques are used for extracting information from the web servers. Web mining is used to understand the customer behavior, evaluate a particular website based on the information which is stored in web log files. Web mining is evaluated by using data mining techniques, namely classification, clustering, and association rules. It has some beneficial areas or applications such as Electronic commerce, E-learning, E-government, E-policies, E-democracy, Electronic business, security, crime investigation and digital library. Data mining techniques and applications are very much needed in the cloud computing paradigm. The implementation of data mining techniques through Web mining under the cloud computing framework will allow the users to retrieve meaningful information from virtually integrated data warehouse that reduces the costs of infrastructure and storage. We can say, cloud mining is one of the most recent concept that is likely to grab attention in the field of advance technology. Since, due to the diversity of web pages available on the web, the high degree relevant information retrieval becomes a major issue. Retrieving the required web page from the web efficiently and effectively becomes a challenging task because web is made up of unstructured data, which delivers the large amount of information and increase the complexity of dealing information from different web service providers. Extracting the relevant or the required set of data from such a large number of scattered information available on the web makes the computation complex and time consuming and furthermore makes it prone to risk of retrieval failure of the required dataset. The present work proposes to develop an application that could help users not only mine data conveniently but also store it effectively in a data bank for a specific purpose or future usage and also to make use of mobile cloud computing, the latest in the field.
Neha Gupta World Wide Web; Web Mining; Cloud Computing; Data Mining Publication Details
Published in : Volume 3 | Issue 7 | September-October 2017 Article Preview
ITM, Aligarh, Karsua, Uttar Pradesh, India
Ankur Varshney
ITM, Aligarh, Karsua, Uttar Pradesh, India
Date of Publication : 2017-10-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 813-823
Manuscript Number : IJSRST21737150
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST21737150
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