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Mining Human Activity Patterns From Smart Home Big Data For Healthcare Applications project in Java.

Java project   Last updated on - July 25, 2018
vino vasanth
vino vasanth
hadoop java php web development 
1 Reviews
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160 Downloads
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In this page Mining Human Activity Patterns From Smart Home Big Data For Healthcare Applications project is a desktop application which is developed in Java platform. This Java project with tutorial and guide for developing a code. Mining Human Activity Patterns From Smart Home Big Data For Healthcare Applications is a open source you can Download zip and edit as per you need. If you want more latest Java 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 Java 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 Human Activity Patterns From Smart Home Big Data For Healthcare Applications project in Java 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 Human Activity Patterns From Smart Home Big Data For Healthcare Applications

Project Complexityadvanced
Duration15 Days
project ID2518
Developer Namevino vasanth
Publish DateJuly 25, 2018
project PlatformJava
Programming LanguageFor this particular Java project, java,hadoop is required
Front EndJavaFX and Swing, HTML, CSS, JavaScript
Back EndMySQL, PostgreSQL, Oracle Database, MongoDB
IDE ToolEclipse
Database Integrationhdfs
project Typedesktop Application
No of project Download160
project Total View3604
Today Trends47
Current Month Trends52
Last Month Trends11

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Features of the Mining Human Activity Patterns From Smart Home Big Data For Healthcare Applications project

We will implement the following feature in the Java Mining Human Activity Patterns From Smart Home Big Data For Healthcare Applications Project:
Nowadays, there is an increase in the number of people migrating to urban places. So the need for health care resources is greatly affected by this vast influx of people moving to cities. As a result cities around the world are heavily investing in digital transformation in order to provide healthier ecosystem. In such a transformation millions of homes will be utilizing smart devices like smart meters, smart sensors and so on which can generate massive amount of data which can be used to support smart city services. This paper proposes a model that utilizes smart home big data in order to learn & discover human activity patterns for health care applications to detect health problems. The proposed model uses frequent pattern mining, cluster analysis and prediction processes. Since there is a strong relation between people’s habits and every day activities, discovering these activities enable us to identify anomalous activities that may indicate people’s difficulties such as not preparing food or not taking bath. This paper analyses temporal energy consumption patterns at the appliance level which can be directly related to human activities. The applications arise in the field of tracking individuals living alone or persons with self limiting conditions.

User modules and function of Mining Human Activity Patterns From Smart Home Big Data For Healthcare Applications

We will implement the following functionalities in the Java Mining Human Activity Patterns From Smart Home Big Data For Healthcare Applications Project:

Software requirement to run this project

IDE : Eclipse, IntelliJ IDEA, NetBeans, Oracle JDeveloper, Visual Studio Code (VS Code), BlueJ, JDeveloper Programming Languages and Frameworks : Java 20, Java 22 Database : MySQL, PostgreSQL, Oracle Database, MongoDB, Maria DB (depending on the project's data requirements) Application Servers : Apache Tomcat, Jetty, or others depending on deployment needs

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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