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AMiner published several datasets for academic research purpose, including Open Academic Graph, [6] DBLP+citation [7] (a data set augmenting citations into the DBLP data from Digital Bibliography & Library Project), Name Disambiguation, [8] Social Tie Analysis. [9] For more available datasets and source codes for research, please refer to. [10]
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 ...
In Denmark, scientific misconduct is defined as "intention[al] negligence leading to fabrication of the scientific message or a false credit or emphasis given to a scientist", and in Sweden as "intention[al] distortion of the research process by fabrication of data, text, hypothesis, or methods from another researcher's manuscript form or ...
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]
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.
Cambridge Analytica targeted potential voters with bespoke messages. Cambridge Analytica's data head, Alexander Tayler said, "When you think about the fact that Donald Trump lost the popular vote by 3m votes but won the electoral college vote, [t]hat's down to the data and the research." [181]
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 ...
The data which was collected was meant to be used as part of a sales strategy that involved creating massive campaigns that approached users in a personal manner. The results of this campaign ended up disrupting US and UK politics and led to claims of complicity of social media enterprises such as Facebook.