WHEELJET-AI

Welcome to Wheeljet-AI for your data

Data mining is extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with the goal of extracting information from a data set and transforming the information into an understandable structure for further use. Data mining is the "knowledge discovery in databases" process or KDD analysis step. Aside from the raw analysis step also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.

Patent Searching

Orange for Data Analysis Hands-on

In most systems of patent law, prior art (state of the art or background art) is constituted by all information made available to the public in any form before a given date that might be relevant to a patent's claims of originality. If an invention has been described in the prior art or would have been obvious from what has been described in the prior art, a patent on that invention is not valid.

Machine Learning Tool

Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and data. It is seen as a part of artificial intelligence. Machine learning algorithms (Classification, Clustering, Regression, etc.) build a model based on sample data, known as training data, to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in various applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight!
Your multi-dimensional data can become sensible in Orange

Customization of Data Analysis

Data analysis is a process of inspecting, cleansing, transforming, and modeling data to discover useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under various names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making scientific decisions and helping businesses operate more effectively.

New Tool, Old Mindset, New Nothing

To raise new questions, new possibilities, to regard old problems from a new angle, requires creative imagination and marks real advance in science.