The Complete Project Source Code Platform

Kashipara.com is a community of ONE million programmers and students, Just like you, Helping each other.Join them. It only takes a minute: Sign Up

Job Resume Template

Mining Suspicious Tax Evasion Groups In Big Data project in Jakarta Servlet ( formerly Java Servlet ).

Jakarta Servlet ( formerly Java Servlet ) project   Last updated on - July 12, 2018
vino vasanth
vino vasanth
hadoop java php web development 
2 Reviews
5
3698 View
93 Downloads
 3698
 2
 93

In this page Mining Suspicious Tax Evasion Groups In Big Data project is a desktop application which is developed in Jakarta Servlet ( formerly Java Servlet ) platform. This Jakarta Servlet ( formerly Java Servlet ) project with tutorial and guide for developing a code. Mining Suspicious Tax Evasion Groups In Big Data is a open source you can Download zip and edit as per you need. If you want more latest Jakarta Servlet ( formerly Java Servlet ) 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 Eclipse IDE. Following Jakarta Servlet ( formerly Java Servlet ) 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 vino vasanth. This desktop application 100% working smooth without any bug. It is developed using java,hadoop and Database hdfs. This software code helpful in academic projects and research paper for final year computer science. To download Mining Suspicious Tax Evasion Groups In Big Data project in Jakarta Servlet ( formerly Java Servlet ) 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

Mining Suspicious Tax Evasion Groups In Big Data

Project Complexityadvanced
Duration15 Days
project ID2443
Developer Namevino vasanth
Publish DateJuly 12, 2018
project PlatformJakarta Servlet ( formerly Java Servlet )
Programming LanguageFor this particular Jakarta Servlet ( formerly Java Servlet ) project, java,hadoop is required
Front EndHTML, CSS, JS, Bootstrap
Back EndJAVA, MySQL/Oracle/MariaDB
IDE ToolEclipse
Database Integrationhdfs
project Typedesktop Application
No of project Download93
project Total View3698
Today Trends44
Current Month Trends55
Last Month Trends35

You have any error or you don't understand project follow or any other problem.You can ask question. you know any answer or solution then give a answer and help other student.Complete they project perfectly.

Download Mining Suspicious Tax Evasion Groups In Big Data source code

Click the Download Button Below to Start Downloading

Download Mining Suspicious Tax Evasion Groups In Big Data source code at free of cost. Download link provide below.

Download Code
File size 3.3113 MB

Project Share and Earning Policy

Download Mining Suspicious Tax Evasion Groups In Big Data document

Download Mining Suspicious Tax Evasion Groups In Big Data Document PDF link below

Download PDF
File size 3.2850 MB

Click Here For Project Document PDF Format.

Telegram channel

WhatsApp channel

Subscribe us on youtube

Features of the Mining Suspicious Tax Evasion Groups In Big Data project

We will implement the following feature in the Jakarta Servlet ( formerly Java Servlet ) Mining Suspicious Tax Evasion Groups In Big Data Project:
There is evidence that an increasing number of enterprises plot together to evade tax in an unperceived way. At the same time, the taxation information related data is a classic kind of big data. The issues challenge the effectiveness of traditional data mining-based tax evasion detection methods. To address this problem, we first investigate the classic tax evasion cases, and employ a graph-based method to characterize their property that describes two suspicious relationship trails with a same antecedent node behind an Interest Affiliated Transaction (IAT). Next, we propose a colored network-based model (CNBM) for characterizing economic behaviors, social relationships and the IATs between taxpayers, and generating a Taxpayer Interest Interacted Network (TPIIN). To accomplish the tax evasion detection task by discovering suspicious groups in a TPIIN, methods for building a patterns tree and matching component patterns are introduced and the completeness of the methods based on graph theory is presented. Then, we describe an experiment based on real data and a simulated network. The experimental results show that our proposed method greatly improves the efficiency of tax evasion detection, as well as provides a clear explanation of the tax evasion behaviors of taxpayer groups.

User modules and function of Mining Suspicious Tax Evasion Groups In Big Data

We will implement the following functionalities in the Jakarta Servlet ( formerly Java Servlet ) Mining Suspicious Tax Evasion Groups In Big Data 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

1. laptop/desktop. 2. minimum 8GB RAM. 3. minimum 250GB SDD for smooth performs.

How to install the project?

After you finish downloading the project, unzip the project file.

How to import database?

Why a download Mining Suspicious Tax Evasion Groups In Big Data project from kashipara?

Downloading the Mining Suspicious Tax Evasion Groups In Big Data project from Kashipara is a best choice for students, beginners, and developers looking for a reliable, well documented, and ready to use project in Jakarta Servlet ( formerly Java Servlet ).

Top benifit to Download our project over other website:

  • Our Mining Suspicious Tax Evasion Groups In Big Data Source Code in Jakarta Servlet ( formerly Java Servlet ) completly working. This project easy to understand and fully customizable as per your requriments.
  • Free Download our Mining Suspicious Tax Evasion Groups In Big Data projects.
  • Comprehensive Documentation:
    • We provide project Synopsis
    • Mining Suspicious Tax Evasion Groups In Big Data project Abstract in PDF and PPT formats download in reports.
    • Detailed Project Report
  • UML & Technical Diagrams Included:
  • 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.
  • Developed for Learning & Research – A strong foundation for building advanced Mining Suspicious Tax Evasion Groups In Big Data applications

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:

Mining Suspicious Tax Evasion Groups In Big Data project output screen

Rate and Review

5
5
 2 Total Reviews

programmer reviews

What our programmer says about project

Explore more Jakarta Servlet ( formerly Java Servlet ) projects