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Title:EIUAS: an enterprise information update and alert system
Author(s):Han, Jinda
Advisor(s):Zhai, ChengXiang
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):System Design
Web Crawling
Database Design
Data Extraction
Data Integration
Abstract:Many companies today need a system to gather useful online information about products or customers, and then, such companies will improve their products or services consequent to this information and improve the functionality of the company. Thus, receiving a large amount and accurate information becomes the first important step in this process, which is followed by storing and retrieving such amounts of data. The next step in the process involves comparing these with the existing system database to update out-of-date data. Finally, future predictions and automatic information updates on available alert will be the last important step. Currently, there is a little research work on how to build such a system. In this thesis, I propose a novel Update and Alert System (EIUAS). This system contains many parts, including, among others, a web crawler, data extractor, data verifier, data integration, dynamic database design, data retrieval engine, updatable checker, predict module, and updatable alert. The system would enable a company to receive all of the useful information about products or customers, and that information will be downloaded from public Internet mediums – related forums, customer reviews, blogs, social networks, etc. To evaluate the usefulness of this system as a baseline, we perform a calculation on the updatable percentage. Additionally, qualitative assessment by a domain expert also confirmed the system as very useful and with updatable information.
Issue Date:2016-07-21
Rights Information:Copyright 2016 Jinda Han
Date Available in IDEALS:2016-11-10
Date Deposited:2016-08

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