Mining Our Reality
By Tom Michael Mitchell. 2009
99 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Epidemiology, Transportation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Epidemiology
In Transportation
Citations in the corpus
- Accelerometer-based transportation mode detection on smartphones (2013, background): “The increased sensing capabilities of contemporary smartphones combined with their easy programmability, large market penetration rate, and effective distribution channels for third party applications, have resulted in smartphones maturing into an effective tool for unobtrusive monitoring of human b”
- Data mining with big data (2016, background): “For data privacyrelated applications [36], users may intentionally inject randomness/errors into the data to remain anonymous.”
- A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality (2017, background): “Machine learning has drawn particular attention in recent years with the advances in high-throughput computing technology that led to an outbreak of “big data” collection in a wide range of scientific fields [67,68].”
- The Oxford handbook of thinking and reasoning (2012, background): “Biswal et al. (2010), Mitchell (2009), and Yang (2009) provide recent reviews of data mining in different scientific fields.”