Search Results for "data mining algorithm php" - Page 2
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Showing 56 open source projects for "data mining algorithm php"
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MRA
A general recommender system with basic models and MRA
Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide... -
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cmotif
A method for mining conditional phosphorylation motifs
Phosphorylation motifs represent position-specific amino acid patterns around the phosphorylation sites in the set of phosphopeptides. The discovery of phosphorylation motifs is a very valuable work in bioinformatics. Although several algorithms have been proposed to uncover phosphorylation motifs, the problem of efficiently discovering a set of significant motifs with sufficiently high coverage and non-redundancy still remains unsolved. In this paper, we propose an algorithm called C-Motif... -
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Classical Apriori and Reverse Algorithm
Apriori Algorithm and its Reverse Approach with Comparison
Apriori Algorithm and its Reverse Approach with Comparative Analysis in terms of Execution Time Apriori Algorithm is used in Data Mining for Association Rule Mining -
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BINow
Data mining complete solutión.
Plataforma de explotación de datos multidimensional que permite extraer datos y ofrecerlos a diferentes niveles de usuarios empresariales y aplicaciones con alta disponibilidad y alta velocidad de acceso a los mismos. -
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Language KISS HTML5
Browser based flash cards
...Main features - learn (cards due to learn), swat (every card) - copy cards - filter - sort - synchronize between devices - share cards with other users (just use all and/or improve and add cards) Programm code and usage follows the KISS principle, see http://en.wikipedia.org/wiki/KISS_principle - basic requirement = browser - OS independent - no installation required - no fancy features - bullet proof synchonization and sharing - deployment is just copying files onto a PHP enabled webserver More - data is on your own server - no central registration or data mining Technical Details - logic in JavaScript (browser) - Share/synch by PHP scripts on webserver (file based) -
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LTS: Learning to Search
Discriminative subgraph mining by learning from search history
LTS (Learning to Search) is an implementation of an algorithm described in "LTS: Discriminative Subgraph Mining by Learning from Search History" in Data Engineering (ICDE), IEEE 27th International Conference, pages 207-218, 2011. The purpose of LTS is to find discriminative subgraphs, which are smaller graphs that are embedded in larger graphs that all share a certain trait. A discriminative subgraph can help to characterize a complex graph and can be used to classify new graphs with unknown traits. ... -
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NOTE: UBMoD is no longer actively developed and we encourage you to download Open XDMoD as a replacement for UBMoD. Open XDMoD has been developed to provide detailed information on resource utilization and performance for academic and industrial HPC centers. More information is available at http://xdmod.sourceforge.net/ UBMoD is a data warehouse and web portal for mining statistical data from resource managers in high-performance computing environments. UBMoD presents resource...
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EmployeesProfileViewer is my MSc final project. Consists of an application to represent the employees of an organization in a graphic map according to personal skills, using their evaluations on the different competences which the company needs. This software generates a graphical representation of the employees in a 2D map of coordinates, that pojects each worker as a figure in the map. The geometric characteristics of each one of these shapes will tell us how are the skills of the...
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DiffGen
Differentially-private algorithm based on Generalization
...We developed an algorithm that considers both relational and set-valued data in differentially private disclosure of healthcare data. -
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AGENDA (Application for mining Gene Ontology Data)
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Ticket Cluster
Java aplication who groups related text documents, text mining
...This is done without preconceptions about keywords — this Java software analyzes the text and identifies the structure that arises naturally. The extraction phase depends of the data of the helpdesk, in the current implementation there is a php script who extracts all text from numered tickets (Facil HelpDesk ) to a folder. Once created the folder with text, run ticket cluster, select folder and click process. After processing is done you can watch results in dendogram or tree. Text mining, text clustering using LINGO -
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ebay mine
OO PHP Libraries for mining data from eBay into mysql database
I started this project for use in a new business and decided the the development time for the end result was going to be too long. This is basically a OO PHP API to retrieve data from eBay to be stored in a MySQL database for analysis. In a test run I retrieved over 804,000 completed item auction records from the consumer electronics category on eBay. -
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Zebra_MPTT
A PHP implementation of the modified preorder tree traversal algorithm
Zebra_MPTT is a PHP class that provides an implementation of the modified preorder tree traversal algorithm making it easy for you to use MPTT in your PHP applications. It provides methods for adding nodes anywhere in the tree, deleting nodes, moving and copying nodes around the tree and methods for retrieving various information about the nodes. -
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A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
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Class implementing algorithm for computing iceberg concept lattices with TITANIC for the data mining software weka
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BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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Leark is a Data Mining library developed in C#.NET. It contains several methods for ranking web documents described with a set of normalized features, and a feature selection algorithm. The methods are based on perceptron and clustering.
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ADWIN is an adaptive sliding window algorithm for detecting change and keeping updated statistics from a data stream, and use it as a black-box in place or counters in learning and mining algorithms initially not designed for drifting data.
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This project was an exercise for a Software Engineering course. The software is incomplete, and there are no plans to complete it. The Concurrent Versions Data Mining System (CVDMS) is a Web application designed to provide data mining of CVS repositories in the form of statistics and visualizations.
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Webstats Solr is an attempt to make Apache Access log easier to Data Mine. By adding a powerful Search Engine (SOLR) as a Backend and using Java Script and HTML and maybe PHP I hope to out date AWStats.
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BF-2PkA is an algorithm for anonymization of sequence data. It transforms a dataset in a k-anonymous dataset. Moreover, the sequential pattern mining results are preserved very well.
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JSRSA is a Javascript/PHP implementation of RSA algorithm which help you to simulate SSL-Like secure data transmission over the net as easy as possible !
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Sake is a PHP implementation of Polynomial Least Squares Regression. The algorithm takes data points as input and returns the resulting polynomial. Graphs can be made using any plotting package. Sake provides the polynomial and will compute as many point
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Himalaya Tools is a suite of programs focusing on new techniques in data mining. MAFIA/SPAM mine patterns from transactional databases. SECRET is a new algorithm for scalable linear regression trees. More algorithms will be added over time.
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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/.
