Semantic genetic programming for fast and accurate data knowledge discovery

[1]  Athanasios V. Vasilakos,et al.  Big data: From beginning to future , 2016, Int. J. Inf. Manag..

[2]  Leonardo Vanneschi,et al.  Parameter evaluation of geometric semantic genetic programming in pharmacokinetics , 2016, Int. J. Bio Inspired Comput..

[3]  David Ratcliffe,et al.  A semantic approach to data translation: A case study of environmental observations data , 2015, Knowl. Based Syst..

[4]  Ramesh Sharda,et al.  Business Intelligence and Analytics , 2015 .

[5]  Leonardo Vanneschi,et al.  A C++ framework for geometric semantic genetic programming , 2014, Genetic Programming and Evolvable Machines.

[6]  Leonardo Vanneschi,et al.  A survey of semantic methods in genetic programming , 2014, Genetic Programming and Evolvable Machines.

[7]  Juan Fernández-Olivares,et al.  A knowledge-based architecture for the management of patient-focused care pathways , 2013, Applied Intelligence.

[8]  N. Restifo.  A "big data" view of the tumor "immunome". , 2013, Immunity.

[9]  Jure Leskovec,et al.  Hidden factors and hidden topics: understanding rating dimensions with review text , 2013, RecSys.

[10]  V. Marx.  Biology: The big challenges of big data , 2013, Nature.

[11]  Jason H. Moore,et al.  Genetic Programming Theory and Practice X , 2013, Genetic and Evolutionary Computation.

[12]  Paul Mineiro,et al.  Machine learning on Big Data , 2013, 2013 IEEE 29th International Conference on Data Engineering (ICDE).

[13]  Leonardo Vanneschi,et al.  A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics , 2013, EuroGP.

[14]  Kalyan Veeramachaneni,et al.  FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud , 2013 .

[15]  Hsinchun Chen,et al.  Business Intelligence and Analytics: Research Directions , 2013, TMIS.

[16]  Javad Poshtan,et al.  A modification to classical evolutionary programming by shifting strategy parameters , 2012, Applied Intelligence.

[17]  Krzysztof Krawiec,et al.  Geometric Semantic Genetic Programming , 2012, PPSN.

[18]  José García-Nieto,et al.  Parallel multi-swarm optimizer for gene selection in DNA microarrays , 2011, Applied Intelligence.

[19]  Wen-Tsao Pan.  The use of genetic programming for the construction of a financial management model in an enterprise , 2010, Applied Intelligence.

[20]  John R. Koza,et al.  Human-competitive results produced by genetic programming , 2010, Genetic Programming and Evolvable Machines.

[21]  Francisco Herrera,et al.  A Survey on the Application of Genetic Programming to Classification , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[22]  Krzysztof Krawiec,et al.  Approximating geometric crossover in semantic space , 2009, GECCO.

[23]  Winston A Hide,et al.  Big data: The future of biocuration , 2008, Nature.

[24]  Heien-Kun Chiang,et al.  Comparing extended classifier system and genetic programming for financial forecasting: an empirical study , 2007, Soft Comput..

[25]  Kotagiri Ramamohanarao,et al.  Fast discovery and the generalization of strong jumping emerging patterns for building compact and accurate classifiers , 2006, IEEE Transactions on Knowledge and Data Engineering.

[26]  Alain J. Cozzone.  Proteins: Fundamental Chemical Properties , 2002 .

[27]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[28]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[29]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.