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Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Stucco project The Stucco project collects data not typically integrated into security systems. This data is not pre-processed Project's website with data information Reviewed source with links to data sources [377] Farsightsecurity Website with technical information, reports, and more about security topics. This data is not pre-processed
This database is the main tool of Coriolis project which is a global data assembly center of in situ data: such as US-GODAE centre of Monterey in California. The latest version of CORA product is v5.0, it covers the years 1950 up to 2015 and has been released in April 2017.
HuffPost Data. Visualization, analysis, interactive maps and real-time graphics ... Interactive charts showing the $10 billion divide between elite college sports ...
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."
KNIME is a machine learning and data mining software implemented in Java. Massive Online Analysis (MOA) is an open-source project for large scale mining of data streams, also developed at the University of Waikato in New Zealand. Neural Designer is a data mining software based on deep learning techniques written in C++.
Data analysis, machine learning: Research in the various fields of data analysis and machine learning, such as prediction of market value of companies'shares and analysis of medical data [181] Yes DistrRTgen 2008-01-12 [182] 2014-06 [183] Independent [14] Cryptography: Analysis of hash strength for password security by developing rainbow tables ...
The Global Ocean Data Analysis Project (GLODAP) is a synthesis project bringing together oceanographic data, featuring two major releases as of 2018. The central goal of GLODAP is to generate a global climatology of the World Ocean's carbon cycle for use in studies of both its natural and anthropogenically forced states.
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