Search Results for "apriori algorithm in java" - Page 8
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274 programs for "apriori algorithm in java" with 1 filter applied:
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XinDiff is a diff utility implementing WinDiff like GUI by an improved LCS algorithm. The key feature in addition to WinDiff is in-place comments for code review.
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Tools and documentations for algorithm competitions. 1) Luvlipse Eclipse plugin, providing the quick fixes which helps Java coding in program contest such as TopCoder. 2) documentations about algorithm competitions.
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Simple Java Graph is a minimal matrix- and listbased graph implementation. An AStar search algorithm is also available.
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Proposed is an algorithm that uses computer vision, combined with a modified Rubine classifier, to allow arbitrary N-sided polygons as accepted sketches in real-time.
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Random Forest classification implementation in Java based on Breiman's algorithm (2001). It assumes the data is in the form [ X_1, X_2, . . ., X_M, Y ] where Y \in {0, 1, . . ., C}. The user must define M, C, and m initially.
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Cryptomni is a program which can encrypt and decrypt files using the one-time pad cipher. If a key is truly random, kept secret, and never reused, this encryption algorithm can be proven to be unbreakable.
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The simpliZia-program implements the simplex-algorithm and is designed to help students of Operations Research to understand and learn the algorithm. This is a german project, source and program are actually written in german.
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SierpinskiChaosGame is a graphical Java application for demonstrating the creation of a Sierpinski triangle using a probabilistic algorithm
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JFish is a simple Java implementation of the popular Twofish cryptography algorithm. It allows any application to easily implement powerful encryption, using a single small library and minimal code changes.
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JRijndael is a 100% pure Java implementation of the popular Rijndael (aka AES) cryptography algorithm. It's designed to be implemented as easily as possible and features ECB, padding, and a simple API.
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JSerpent is an easy to use Java implementation of the powerful Serpent cryptography algorithm. It can be easily implemented into any project, and is complete with ECB, padding, and a simple API.
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Wodka is the implementation of a genetic algorithm (GA) that can bread two dimensional structures that might be used as robots in sodarace competitions.
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The algorithm used by this MasterMind applet is very simple. Yet it is also very fast and it uses relatively few guesses.
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This project is a compression utility that supports different kinds of compression algorithm. For starters the following formats are supported (zip, jar, tar, gzip, bzip2). More compression format will be supported in the future.
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The project implements Dana Angluin's learning algorithm with intent to look into the possibility of computational learning of changing (shifting) information.
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Type setting engine in Java. Uses an algorithm similar to Tex to layout text and images on a page and create a pdf output, supports multiple columns and images, which can be placed at arbitrary positions, spawm columns etc.
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Project Tokaf is an general implementation of top-k algorithm. It provides interfaces for all modules that are needed. It also features user preferences module, for computing new preferences and manipulating existing ones.
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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/.
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DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
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The main goal of OWLVE is to visualize graphically any OWL–lite file. Using powerful RCP and GEF technologies will improve the quality of graphics and diagrams.This project includes an algorithm for similarity calculus between two OWL files.
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This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
