Search Results for "data mining algorithm php" - Page 2
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Showing 69 open source projects for "data mining algorithm php"
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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Think CRM software is just about contact management? Think again. HubSpot CRM has free tools for everyone on your team, and it’s 100% free. Here’s how our free CRM solution makes your job easier.
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Association rule mining is an important task in the field of data mining, and many efficient algorithms have been proposed to address this problem. However, a large portion of rules reported by these algorithms just satisfy the user-defined constraints purely by accident, and cannot express real systematic effects in data sets. Thus, such rules are false positives that could be filtered out through statistical significance testing. In the context of association rule discovery, the permutation...
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QuazarCoin (QCN) is a new cryptocurrency based on the CryptoNote and uses the CryptoNight algorithm. QuazarCoin protects your data and privacy with help of completely anonymous transactions with ring signatures.
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PHP Voucher
PHP Voucher Manager
PHP Voucher is a simple manager to create, check and execute unique vouchers. It works without SQL database. The generated codes are encrypted with MD5 algorithm and saved in data files (*.dat). Executed vouchers are registered and cannot be used again. Generating codes: makecode.php Checking codes: checkvoucher.php Configuration: config.php Style: main.css -
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GUI MINER SCRYPTN
GUIMiner Scrypt-N for Windows x64
GUIMiner Scrypt-N for Windows - a graphical interface for mining Any Scrypt-N Cryptocurrencys Currently it uses Script-N=2 algorithm for the coins like VTC, SPT, RT2, EXE With Scrypt-N you have 1/2 hashrate from Scrypt, but Profitability is four times more By paulneobuh based on: - "GUIMiner Scrypt v0.04" by Tocomo - "GUIMiner" by Chris 'Kiv' MacLeod - "poclbm" by m0mchil - 'rpcminer' by puddinpop What is it? ----------- GUIMiner is a graphical front end for mining Any... -
eloomi combines Learning Management (LMS), Onboarding, Authoring, and continuous Performance Management tools in a cloud-based solution. It allows companies to optimize skill training, onboarding and employee development with strong user experience to enhance productivity and employee satisfaction. As a white label solution, the platform can be customized to mirror a company's branding and logo.
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Iris Classifier
The classifier for iris flowers (data mining)
This implements KNN algorithm. -
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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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EPARandSP
Computing Exact Permutationp-Values for Association Rules
Association rule mining is an important task in the field of data mining, and many efficient algorithms have been proposed to address this problem. However, a large portion of rules reported by these algorithms just satisfy the user-defined constraints purely by accident, and cannot express real systematic effect in data sets. Thus, such rules are false positives that should be filtered out through statistical significance testing. In the context of association rule discovery... -
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cmotif
A method for mining conditional phosphorylation motifs
... for a non-redundant identification of significant phosphorylation motifs. In tests with real data including both non-kinase-specific and kinase-specific phosphorylation data, the C-Motif algorithm successfully reports a relatively complete set of of conditional phosphorylation motifs efficiently. -
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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 -
Managing your therapy and rehab practice is a time-consuming process. You spend hours on paperwork, billing, scheduling, and more. Raintree’s Therapy & Rehab EHR is here to help you manage your practice more efficiently. With our all-in-one solution, you’ll get the tools you need to streamline your therapy and rehab practice, improve patient care, and get back to doing what you love.
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LTS: Learning To Search
Discriminative subgraph mining by learning from search history
This is an optimized Java implementation of the algorithm from "LTS: Discriminative Subgraph Mining by Learning from Search History" in Data Engineering (ICDE), IEEE 27th International Conference, pages 207-218, 2011. The Learning to Search (LTS) algorithm mines for discriminative subgraphs. Given two sets of graphs, with one set labelled positive, it finds subgraphs that are common in the positive graphs and uncommon in the negative graphs. In other words, the occurrences of these subgraphs... -
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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
.../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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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 utilization...
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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... -
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... represented, and it is shown in a simple and visual mode. Furthermore, each employee is placed according to his/her knowledge allowing thus an easy detection of groups with similar profiles segmenting heterogeneous groups and perceiving employees’ skills evolutions during a given period of time. The principal contribution of this project is to allow the human resources manager use vague data, that is data associated with a degree of uncertain. (More details on wiki page)
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DiffGen
Differentially-private algorithm based on Generalization
Privacy-preserving data publishing addresses the problem of disclosing sensitive data when mining for useful information. Among existing privacy models, epsilon-differential privacy provides one of the strongest privacy guarantees and has no assumptions about an adversary's background knowledge. All the existing solutions that ensure epsilon-differential privacy handle the problem of disclosing relational and set-valued data in a privacy preserving manner separately. We developed an algorithm... -
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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
Ticket Cluster is a java aplication who groups related text documents(text is extracted from a helpdesk) into clusters, providing an overview of the document set. 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... -
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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. Zebra_MPTT uses table locks making sure that database integrity is always preserved and that concurrent MySQL sessions don’t compromise data... -
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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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System for Web usage mining and data warehouse: it allows the discovery of knowledge from data (KDD) regarding users' usage on the Web (such as unique visitors, sessions, transactions) and organise it in a RDBMS (currently PostgreSQL). Written in C++.