Search Results for "data mining algorithm php"

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...

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...

...FreeDatamap delivers a fast and visually attractive user interface that runs on any support: computers, tablets or phones. Features list : • Unlimited users : full web 2.0 application • Data visualization : one centralized trusted map for all your data • Workflow and business process visualization • Search capabilities • Report creation • Advanced analytics • Data mining • Dashboard, gauges, alerts

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.

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).

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++.