DMARF | DMARF : Data Mining Algorithms - Really Fast

by Dzess Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | DMARF Summary

DMARF is a Java library. DMARF has no bugs, it has no vulnerabilities and it has low support. However DMARF build file is not available. You can download it from GitHub.

Data Mining Association Rules Finder (DMARF Project). Status: experimental / alfa. Goal: Intention of this project is to provide the software which will be able to utilize parallel processing in order to improve the speed of association rules acquisition. Java and OpenCL are the main technologies used in this project. Current version is still under heavy development and is not recommended for serious applications. Java implementations of Apriori algorithm: - naive single threaded (dynamic java structures) - single threaded (bitmap index) - single threaded (bitmap index) with optional support for OpenCL accelerated computations. Requires: * maven * jvm 1.6 * opencl 1.0 capable hardware with drivers. Future plans: + adding apriori mulltithreaded version with concurrent collections + adding better support for heterogonous OpenCL enviorments + adding another algorithms (FPGrowth, Eclat). Authors: Peter Jessa Nicolas Dobski.

Support

Quality

Security

License

Reuse

Support

DMARF has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DMARF is current.

Quality

DMARF has no bugs reported.

Security

DMARF has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

DMARF does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

DMARF releases are not available. You will need to build from source code and install.

DMARF has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed DMARF and discovered the below as its top functions. This is intended to give you an instant insight into DMARF implemented functionality, and help decide if they suit your requirements.

Start the GPU
Initialize OpenCL - 256
Demonstrates how to execute the histogram
Read a file
Runs the JOCL algorithm on the JOCL 1 sample
Initialize OpenCL context
Print the given float buffer as a matrix
Run the JOCLDevice query
Get the value of a specific device info parameter
Returns a sorted set of candidate candidates
Compares two sets
Reads data from a reader
Compares two item sets
Compares this rule to another
Generate the frequent set
Start the generation process
Generate a set of frequent sets from the specified data
Returns a string representation of the item set
Read supply array
Run the apriori algorithm
Get the rules for a binary item set
Demonstrates how to run the JOCL 1 algorithm
Entry point for the algorithm
Returns the candidate set for the given set of elements
Get a list of rules
Returns a String representation of the Item

Get all kandi verified functions for this library.

DMARF Key Features

No Key Features are available at this moment for DMARF.

DMARF Examples and Code Snippets

No Code Snippets are available at this moment for DMARF.

Community Discussions

No Community Discussions are available at this moment for DMARF.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install DMARF

You can download it from GitHub.
You can use DMARF like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the DMARF component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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