2015830 · Abstract The massive data generated by the Internet of Things (IoT) are considered of high business value, and data mining algorithms can be applied to IoT to extract hidden information from data. In this paper, we give a systematic way to review data mining in knowledge view, technique view, and application view, including classification, …
view more202026 · Data mining plays an important role in various human activities because it extracts the unknown useful patterns (or knowledge). Due to its capabilities, data mining become an essential task in large number of application domains such as banking, retail, medical, insurance, bioinformatics, etc. To take a holistic view of the research trends in …
view more201811 · The primary goals of this research are (1) Using text mining techniques for. identifying the topics of a scienti fic text related to ML research and developing a. hierarchical and evolutionary ...
view more202076 · This Review covers the sustainability of deep-seabed mining, suggesting a slower transition from exploration to exploitation may be beneficial.
view more2023422 · A global map of mining land use which utilizes high-resolution satellite data shows the growing scale of mine activities across countries and highlights widespread overlap with protected areas.
view more20201230 · In this study, network and main path analyses were conducted on 1856 studies related to text mining, by extracting keywords and citation information f…
view more2022315 · What Is Crypto Mining? In short, crypto mining is how new units of cryptocurrency ---usually called coins---are created. As you can imagine, this type of mining doesn't involve callused hands gripping pickaxe handles. Instead, it's computer processors that do all the hard work, chipping away at complex math problems.
view moreHere we review recent work in mining social media for biomedical, epidemiological, and social phenomena information relevant to the multilevel complexity of human health.
view more20171128 · This work shows that data mining is increasingly being applied in air pollution epidemiology. The potential to support air pollution epidemiology continues to grow with advancements in data mining related to temporal …
view moreBased on over 30 years' experiences in design, production and service of crushing and s
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