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MiningCompetitorsfrom Large Unstructured Datasets project in JSP.

JSP project   Last updated on - April 3, 2020
sharookh shaikh
sharookh shaikh
Java Android HTML JSP CSS PHP 
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In this page MiningCompetitorsfrom Large Unstructured Datasets project is a web application which is developed in JSP platform. This JSP project with tutorial and guide for developing a code. MiningCompetitorsfrom Large Unstructured Datasets is a open source you can Download zip and edit as per you need. If you want more latest JSP projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. This project can edit using a Net Beans 8.2 IDE. Following JSP project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by sharookh shaikh. This web application 100% working smooth without any bug. It is developed using JSP, HTML, CSS, JScript and Database MySQL. This software code helpful in academic projects and research paper for final year computer science. To download MiningCompetitorsfrom Large Unstructured Datasets project in JSP with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.

About project

project Name

MiningCompetitorsfrom Large Unstructured Datasets

Project Complexityadvanced
Duration15 Days
project ID3679
Developer Namesharookh shaikh
Publish DateApril 3, 2020
project PlatformJSP
Programming LanguageFor this particular JSP project, JSP, HTML, CSS, JScript is required
Front EndHTML, CSS, JS, Bootstrap
Back EndJAVA, MySQL, Oracle, MariaDB
IDE ToolNet Beans 8.2
Database IntegrationMySQL
project Typeweb Application
No of project Download34
project Total View1576
Today Trends190
Current Month Trends203
Last Month Trends28

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Features of the MiningCompetitorsfrom Large Unstructured Datasets project

We will implement the following feature in the JSP MiningCompetitorsfrom Large Unstructured Datasets Project:
In any competitive business, success is based on the ability to make an item more appealing to customers than the competition. A number of questions arise in the context of this task: how do we formalize and quantify the competitiveness between two items? Who are the main competitors of a given item? What are the features of an item that most affect its competitiveness? Despite the impact and relevance of this problem to many domains, only a limited amount of work has been devoted toward an effective solution. In this paper, we present a formal definition of the competitiveness between two items, based on the market segments that they can both cover. Our evaluation of competitiveness utilizes customer reviews, an abundant source of information that is available in a wide range of domains. We present efficient methods for evaluating competitiveness in large review datasets and address the natural problem of finding the top-k competitors of a given item. Finally, we evaluate the quality of our results and the scalability of our approach using multiple datasets from different domains.

User modules and function of MiningCompetitorsfrom Large Unstructured Datasets

We will implement the following functionalities in the JSP MiningCompetitorsfrom Large Unstructured Datasets Project:

Software requirement to run this project

Platform : Jakarta EE 11 support with Java SE 21 Install a Java Development Kit (JDK). Please make sure you have Java SE 11 or higher (we have tested with Java SE 11 and Java SE 17). Install an application server that supports Jakarta EE. Install Maven 3 or higher. Install DBMS - MySQL, Oracle, MariaDB as project requirements. Create a new project with Eclipse Starter for Jakarta EE.

Hardware requirement to run this project

Processor : A multi-core processor ( Intel Core i5 or i7, AMD Ryzen 5 or 7) for faster compilation and running IDE smoothly. RAM : Minimum requirements 8GB RAM is recommended for comfortable development. More RAM (16GB or higher) may be beneficial for larger projects or if running multiple applications simultaneously. Storage : SSD for fast read/write, HDD Operating System : Windows, macOS, Linux

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Why a download MiningCompetitorsfrom Large Unstructured Datasets project from kashipara?

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  • Our MiningCompetitorsfrom Large Unstructured Datasets Source Code in JSP completly working. This project easy to understand and fully customizable as per your requriments.
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  • Comprehensive Documentation:
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  • This project Ideal for Academic Projects Perfect for B.E., B.Tech, MCA, BCA, BSc CS, and IT students
  • 100% Working Project – Tested and bug free.
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How to create diagram?

Creating diagrams like Class Diagrams, Use Case Diagrams, Entity–Relationship (ER) Diagrams, Data Flow Diagrams (DFD), and Sequence Diagrams is essential for designing and understanding software systems. Here’s a proper guide to help you get started with each type:

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