An overview of topic modeling and its current appliions ...Sep 20, 2016 · As shown in Fig. 5, we can utilize a topic model to project the original feature space of biological data onto the latent topic space. After the reduction of dimensionality in this way, other algorithms such as a classifier can process the resulting topic .
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Evidence of the impacts of metal mining and the ...Feb 21, 2019 · Mining activities, including prospecting, exploration, construction, operation, maintenance, expansion, abandonment, decommissioning and repurposing of a mine can impact social and environmental systems in a range of positive and negative, and direct and indirect ways. Mining can yield a range of benefits to societies, but it may also cause conflict, not least in relation to above .
Top 5 Data Science Projects For BeginnersOct 26, 2018 · Top 5 data science projects for beginners 1. Iris Data Set. The credit for introducing this multivariate data set goes to a British biologist Ronald Fisher in 1936. It is a simple example of linear discriminant analysis. Edgar Anderson collected the data required for the quantifiion of the morphological variation of three related species of ...
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Hot topic for project and thesisLatest thesis topics in Machine Learning for research scholars: Choosing a research and thesis topics in Machine Learning is the first choice of masters and Doctorate scholars now a days. Though, choosing and working on a thesis topic in machine learning is not an easy task as Machine learning uses certain statistical algorithms to make computers work in a certain way without being explicitly ...
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5 real life appliions of Data Mining and Business ... · Here we take a look at 5 real life appliions of these technologies and shed light on the benefits they can bring to your business. Why use data mining? In order for data to really be valuable to an organization, you need to be able to discover patterns and relationships within that data. That's what data mining does. Those connections and ...
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Data miningData mining Data mining Pattern mining: Pattern mining concentrates on identifying rules that describe specific patterns within the data. Marketbasket analysis, which identifies items that typically occur together in purchase transactions, was one of the first appliions of data mining. For example, supermarkets used marketbasket analysis to identify items that were often purchased ...
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