The Mobile Data Challenge: Big Data for Mobile Computing Research
By J. Laurila, Daniel Gatica-Perez, Imad Aad, Jan Otto Blom, O. Bornet, Trinh Minh Tri Do, Olivier Dousse, Julien Eberle, Markus Miettinen. 2012
545 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8daeecc84fcaf42172cba7ef58e5068fae7bbcbc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Medhi Bennis
- Rodrigo Neves Calheiros
- Rajkumar Buyya
- Merouane Debbah
- Abdullah Bin Gani
- Ibrahim Abaker Targio Hashem
- Yonggang Wen
- Ibrar Yaqoob
Citations in the corpus
- Living on the edge: The role of proactive caching in 5G wireless networks (2014, background): “Hence, the objective is to predict, anticipate, and infer on future events in an intelligent manner, which is a complex problem exacerbated by the big data paradigm induced by the large and sparse information/data [10].”
- A Survey on Deep Learning for Human Mobility (2020, methodology): “Trajectory generators are commonly trained and evaluated onGPS datasets such as Geolife [232], MDC [106], and taxi traces in San Francisco [143].”
- Measuring Large-Scale Social Networks with High Resolution (2014, background): “The Lausanne Data Collection Campaign [32,33] featured 170 volunteers in the Lausanne area of Switzerland, between October 2009 and March 2011.”
- Predicting future locations with hidden Markov models (2012, methodology): “For future work, we would also like to experiment with discriminative models, such as those referenced above, in order to address related sequence analysis methods, such as the classification of human location histories according to semantic categories [11, 10].”
- Mobile Edge Computing: A Survey (2018, background): “The ubiquity of mobile phones and their big data coming from applications and sensors, such as GPS, accelerometer, gyroscope, microphone, camera, and bluetooth are stressing the network bandwidth [54].”
- Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014, background): “Much user-implemented data collection software [58] belongs to this category.”
- The rise of "big data" on cloud computing: Review and open research issues (2015, background): “The aforesaid initiative is called mobile data challenge motivated by Nokia [11].”
- Big Data computing and clouds: Trends and future directions (2013, background): “It is argued that a large part of data produced today is either unstructured or semi-structured .”