Search Results for "data mining algorithm php"
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Showing 46 open source projects for "data mining algorithm php"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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UNIT3D Community Edition
Private Torrent Tracker Built With Laravel, Livewire and AlpineJS
We have been developing a Private Torrent Tracker Software called UNIT3D. This is a PHP software based on Laravel 10, Livewire and AlpineJS. It is MySQL Strict Mode Compliant, and PHP 8.2 Ready. The code is well-designed and follows the PSR-2 coding style. It uses an MVC Architecture to ensure clarity between logic and presentation. As a hashing algorithm of Bcrypt or Argon2 is used, to ensure a safe and proper way to store the passwords for the users. A lightweight Blade Templating Engine.... -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM... -
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Open Crypto Tracker
Bitcoin Alts portfolio tracker, email / text / alexa / telegram alerts
100% FREE / open source / PRIVATE cryptocurrency portfolio tracker. Email / text / alexa / telegram price alerts, price charts, mining calcs, leverage / gain / loss / balance stats, news feeds +more. Privately track Bitcoin / Ethereum / unlimited cryptocurrencies. Customize as many assets / markets / alerts / charts as you want. Over 50 Exchanges / 40 Trading Pairs Supported (exchanges / pairings list at bottom of README.txt): https://tinyurl.com/ct-readme Nearly Unlimited Assets... -
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DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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General Knowledge Machine Project
Intellect Modeling Kit: assisting research, diagnostics, consulting
We humans are bound by intellectual abilities. All knowledge is far beyond power of any person. The only way to apply knowledge is to build machines able to present it human way but not limited by volume. Intellect Modeling Kit (IMK) is intended to build knowledge machines (KM) assisting experts on the steps of activity: * Observation; * Producing propositions based on knowledge; * Elimination of impossible propositions; * Selection and verification of the most appropriate... -
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OpenVigil
Open pharmacovigilance data extraction, mining and analysis tool
OpenVigil provides a webinterface to analyse pharmacovigilance data, i.e., spontanous or systematic collections of treatments (drugs) and observed adverse events ("drug side effects"). FDA Adverse Event Reporting System (AERS) and other pharmacovigilance data (e.g., Canadian or German) are supported. The OpenVigil web-based analysis tools offer several analysis modes like extraction, filtering, mining of data and analyses via measurements of disproportionality like proportional reporting... -
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Scout Elasticsearch Driver
Offers advanced functionality for searching data in Elasticsearch
This package offers advanced functionality for searching and filtering data in Elasticsearch. -
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Helpdezk
HelpDEZk is a powerfull software that manages requests/incidents.
HelpDEZk is a powerfull software that manages requests/incidents. It has all the needed requirements to an efficient workflow management of all processes involved in service execution. This control is done for internal demands and also for outsourced services. HelpDEZk can be used at any company’s area, serving as an support to the shared service center concept, beyond the ability to log all the processes and maintain the request’s history, it can pass it through many approval... -
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AES Everywhere
Cross Language AES 256 Encryption Library
AES Everywhere is Cross Language Encryption Library that provides the ability to encrypt and decrypt data using a single algorithm in different programming languages and on different platforms. This is an implementation of the AES algorithm, specifically CBC mode, with 256-bit key length and PKCS7 padding. It implements OpenSSL-compatible cryptography with randomly generated salt. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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A Weather
Free application for weather data
...To see how closely related they are, can run the Python script which calls PHP script to get JSON data feed from Google spreadsheet and turn into CSV format for processing. -
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GreMod
GreMod: Real-time Incremental Community Detection
This is the source code of the paper: Shang, Jiaxing, Lianchen Liu, Feng Xie, Zhen Chen, Jiajia Miao, Xuelin Fang, and Cheng Wu. "A real-time detecting algorithm for tracking community structure of dynamic networks." In 6th SNA-KDD Workshop, 2012. Anyone using this code please cite this paper. -
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BISD
Batch incremental SNN-DBSCAN clustering algorithm
Incremental data mining algorithms process frequent up- dates to dynamic datasets efficiently by avoiding redundant computa- tion. Existing incremental extension to shared nearest neighbor density based clustering (SNND) algorithm cannot handle deletions to dataset and handles insertions only one point at a time. We present an incremen- tal algorithm to overcome both these bottlenecks by efficiently identify- ing affected parts of clusters while processing updates to dataset in batch mode. -
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GAKNN is a data mining software for gene annotation data. GAKNN is built with k- Nearest Neighbour algorithm optimized by the genetic algorithm. Gene annotation datasets saved under .csv or .arff formats with Gene Ontology or FunCat categorization can use GAKNN to predict gene functions.
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data... -
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GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).
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ExSTraCS
Extended Supervised Tracking and Classifying System
This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ... -
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Web Application Protection
Tool to detect and correct vulnerabilities in PHP web applications
...It has a low rate of false positives because has implemented a data mining module to predict false positives when detects vulnerabilities. The output of the tool is: - shows the vulnerabilities found and how they are corrected - new files with the corrections -
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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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Iris Classifier
The classifier for iris flowers (data mining)
This implements KNN algorithm. -
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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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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)
