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AMiner (ArnetMiner) is designed to search and perform data mining operations against academic publications on the Internet, using social network analysis to identify connections between researchers, conferences, and publications. [1]
An example of data mining related to an integrated-circuit (IC) production line is described in the paper "Mining IC Test Data to Optimize VLSI Testing." [12] In this paper, the application of data mining and decision analysis to the problem of die-level functional testing is described. Experiments mentioned demonstrate the ability to apply a ...
Wired, The New York Times, and The Observer reported that the data-set had included information on 50 million Facebook users. [35] [36] While Cambridge Analytica claimed it had only collected 30 million Facebook user profiles, [37] Facebook later confirmed that it actually had data on potentially over 87 million users, [38] with 70.6 million of those people from the United States. [39]
SCL Group was a private research and strategic communications company interested in studying and influencing mass behavior. With alleged expertise in psychological operations (psyops), the company worked in military and political operations around the world in the late 1990s, including electioneering in the developing world throughout the early 2000s.
The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data. In contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large ...
Affinity analysis falls under the umbrella term of data mining which uncovers meaningful correlations between different entities according to their co-occurrence in a data set. In almost all systems and processes, the application of affinity analysis can extract significant knowledge about the unexpected trends [ citation needed ] .
In a case study a set of revisions for a recent news event is manually annotated, and the annotations are used to train a Long Short Term Memory classifier for 11 revision categories. The classifier has a validation accuracy of around 0.69 which outperforms recent research on this task, although some overfitting is present in the case study data."
KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.