Search Results for "apriori algorithm in java"

----------------- - What is it? - ----------------- The "Falcon Search" is a JAVA API and tool to search inside the documents. It was originally started to search the content in pdf files under the project "HAWK Search". Searching with this tool is query-based not word-based as in most of the document search tools OR document readers. It also takes care of jumbling of words within query and spelling mistakes. Commonly used techniques in this project are Natural Language...

No more support for this project - TAKE A LOOK AT FALCONSEARCH "https://sourceforge.net/projects/falcontextsearch/"

Small Java program to compare two texts, originally designed to be used to find quotations in a Byzantine anthology. It can quite likely be used to detect plagiarism between two texts as well Graphical interface which allows easy navigation between corresponding parts in the two different texts. Uses the http://software.jessies.org/salma-hayek/ Java TextArea for this. Probably very much can be done to improve this program and the algorithm which it uses.

Java library for parsing and evaluating math expressions. Javadoc is available at http://bracer.sourceforge.net/javadoc/ P.S. This library depends on Apache Commons Math, so don't forget to include commons-math-2.2.jar to your project.

converting java recursive methods to iterative ones. for educational purposes ,i didn't say much about the algorithm because this can be an interesting field of research for B.S. students.

JMS/Joram implementation of the Bully election algorithm. It is a library to be used by a process' implementation to make it transparently manage coordinator's elections, while it carries out business logic. A sample application is included.

A particle swarm optimization demo written by students in the digital communication msc program (2010) at uni-kiel.

KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.