Data Mining —

The image evoked by this term is not so far from the truth. Data mining broadly refers to extracting useful information from large datasets using specialized methods. The process involves using various statistical and computational techniques to identify patterns, correlations, and other relationships within the data. The goal of data mining is to derive insights from data that can be used to solve practical problems or make informed decisions.

An important aspect of data mining is visualization, which helps analysts to understand better and communicate the patterns and relationships identified in the data. Data mining is used in a wide range of fields, including business, healthcare, education, and more, and has become increasingly important with the rise of big data—the vast amounts of information generated by modern technology and society.

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A suite of data extraction and analysis methods across social media, blockchains, messengers, and the Dark Web connected directly to your in-house platform via our API.

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A versatile OSINT tool for conducting in-depth investigations across social media, blockchains, messengers, and the Dark Web via the Maltego and i2 platforms.

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An enterprise-grade on-premise OSINT platform with customization options, private data storage, and our widest range of search methods.