Best Data Mining Software in the UK

JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization. It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease. JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.

Semantria (natural language processing) API is offered by Lexalytics, a leader in enterprise sentiment analysis and text analysis since 2004. Semantria provides multi-layered sentiment analysis, categorization and entity recognition, theme analysis as well as intention detection, summarization, and summary in an easy to integrate RESTful API package. Semantria can be customized through graphical configuration tools. It supports 24 languages and can be deployed across public, private and hybrid clouds. Semantria scales easily from single servers to entire data centres and back again to meet your processing needs. Integrate Semantria for powerful, flexible text analytics and natural word processing capabilities to cloud-based data analysis products or enterprise business intelligence infrastructure. To create a complete business intelligence platform, you can add Lexalytics storage or visualization tools to store, manage, analyze, and visualize text documents.

Reestablishing human leadership in automation, DeepSee enables knowledge workers to harness AI methodologies to convert data into significant business resources. This initiative addresses genuine challenges faced by individuals. With knowledge being a vital asset, it is crucial to provide subject-matter experts with effective tools to navigate the overwhelming influx of information for achieving business objectives. To facilitate this, DeepSee developed the Knowledge Process Automation (KPA) platform, which effectively mines unstructured data, translates AI-driven insights into operational strategies, and ensures that outcomes translate into immediate actions for enterprises. By returning extensive expertise and AI capabilities to the workforce, DeepSee empowers organizations across various industries. In today’s competitive landscape, excelling in performance goes beyond merely monitoring key performance indicators; it requires a deep comprehension of trends, forecasts, and anomalies. The DeepSee platform not only extracts and processes hidden data but also transforms it into essential competitive insights in real time, thereby simplifying the transition from analysis to actionable results. This approach ultimately fosters a more agile and informed decision-making process within enterprises.

WizWhy analyzes how the values of one data field are influenced by the values of other fields in the dataset. The analysis hinges on a dependent variable chosen by the user, while the remaining fields act as independent variables or conditions. This dependent variable can be examined in two ways: as a Boolean value or as a continuous measurement. Users have the ability to refine their analysis by setting various parameters, including the minimum probability for rule formation, the least number of instances required for each rule, and the comparative costs associated with false negatives versus false positives. WizWhy identifies and presents a series of rules that connect the dependent variable with other fields, expressing these rules using if-then and if-and-only-if constructs. Based on the identified rules, WizWhy highlights significant patterns, reveals unexpected rules that may indicate interesting phenomena, and points out unusual cases within the dataset. Additionally, WizWhy is capable of making predictions for new instances by leveraging the established rules.