Search Results for "analysis" - Page 4
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Showing 105 open source projects for "analysis"
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Openminer, as a data mining engine, is developed on java for analysis of dataset with the methods of data mining. By making use of openminer, we could discovery the knowledge which interests us but hides in the raw data.
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Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.
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The first stage of development is do write a tool to anonymize packet capture files captured with libpcap. After that we will be integrating this with tcpdump to anonymize in real-time and analyze and look for its effect on different IDS's.
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Java Framework for automatic transformation of graph structured Process Models (incl. BPMN import) to block structured BPEL code. A graphical tool is provided for visualisation and testing.
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A GLib/GTK+ classical encryption analysis and reversal tool that brings together multiple techniques into a single program to aide in decryption.
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Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
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Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
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FORce based Cluster Editing (FORCE) is a Java software heuristically solving the graph cluster editing problem on weighted edges using BLAST E-values. It further provides a training mode for heuristic parameter estimation.
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K-automaton is a new parsing (syntactic analysis) machine isomorphous to language. Implemented in Java. Can generate Java code from grammars described in EBNF.
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mcs::units is an ISO C++ compliant library for compile-time dimensional analysis with zero runtime overhead. Units, quantities, and unit systems are all supported, with example SI and CGS systems provided.
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Command line encryption tool for one time, daemon, or stream data processing. Data stats, check sums, conversion to/from text. Data/keys from files, pipes, standard input. In-place/diverted processing or data-analysis-only. Random, file, password keys.
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The Catalsyt Framework is a refinement on the MVC framework. It provides greater focus on user business workflow rather than application workflow. It's goal is to enable business analysis and developers to work closer.
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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.
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RAS is the acronym for Result Assessment System. The primary purpose of RAS is helping users manage, visualize, assess and report results obtained from experimental search algorithms.
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musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
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LogiDist offer a solution of "Computer Aided Logistic" with mostly informative purposes on executed pickups/delivery of merchandise. Is able to manage the whole process of purchase, order management, merchandise delivery to reduce distribution costs.
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jpaul is a Java implementation of several algorithms widely used in program analysis. It emphasizes flexibility and ease-of-use and is independent of any specific compiler infrastructure project. BSD Licence.
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An ANSI C library of routines for rapid signal detection based on higher order statistical analysis.
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MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
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The NSketch library provides implementations of most common sketch-based algorithms (histograms, quantile, frequent items, bloom filter ...). The library is written in C# for .Net.
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brCluster is a class library, written in java, that implements generic clustering algorithms carefully designed to allow its aplication in any kind of data. The algorithms implemented are K-means and Hierarchical Clustering (Simple and Complete Link).
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NeoBio is a Java class library of Computational Biology Algorithms. The current version consists mainly of pairwise sequence alignment algorithms such as the classical dynamic programming methods of Needleman-Wunsch and Smith-Waterman.
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Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
