"Challenges in Data Science"
Chaos, Solitons and Fractals" volume 90, Pages 1-126 (2016)
Eds.A.Carbone, M. Jensen, A-H. Sato
http://www.sciencedirect.com/science/journal/09600779/90
Challenges in data science: a complex systems perspective
Pages 1-7
Anna Carbone, Meiko Jensen, Aki-Hiro Sato
​
Regularities and discrepancies of credit default swaps: a data science approach through Benford's law
Pages 8-17
Marcel Ausloos, Rosella Castellano, Roy Cerqueti
​
On the topologic structure of economic complex networks: Empirical evidence from large scale payment network of Estonia
Pages 18-27
Stephanie Rendón de la Torre, Jaan Kalda, Robert Kitt, Jüri Engelbrecht
​
Recent advances on failure and recovery in networks of networks
Pages 28-36
Louis M. Shekhtman, Michael M. Danziger, Shlomo Havlin
​
Analyzing human driving data an approach motivated by data science methods
Pages 37-45
Peter Wagner, Ronald Nippold, Sebastian Gabloner, Martin Margreiter
​
Can topology reshape segregation patterns?
Pages 46-54
Yerali Gandica, Floriana Gargiulo, Timoteo Carletti
​
The Bass diffusion model on networks with correlations and inhomogeneous advertising
Pages 55-63
M.L. Bertotti, J. Brunner, G. Modanese
​
Introducing serendipity in a social network model of knowledge diffusion
Pages 64-71
Marco Cremonini
​
Possilibity of estimating payoff matrix from model for hit phenomena
Pages 72-80
Akira Ishii, Shota Sakaidani, Saori Iwanaga
​
Big data naturally rescaled
Pages 81-90
Ruedi Stoop, Karlis Kanders, Tom Lorimer, Jenny Held, Carlo Albert
​
Temporal Taylor’s scaling of facial electromyography and electrodermal activity in the course of emotional stimulation
Pages 91-100
Jan ChoÅ‚oniewski, Anna Chmiel, Julian Sienkiewicz, Janusz A. HoÅ‚yst, Dennis Küster, Arvid Kappas
​
Network tools for tracing the dynamics of heart rate after cardiac transplantation
Pages 101-110
Danuta Makowiec, Joanna Wdowczyk, Marcin Gruchała, Zbigniew R. Struzik
​
Three-dimensional off-lattice AB model protein with the 89-residue Fibonacci sequence
Pages 111-117
Seung-Yeon Kim
​
Forecasting business cycle with chaotic time series based on neural network with weighted fuzzy membership functions
Pages 118-126
Soo H. Chai, Joon S. Lim
​
​