Data mining is an interdisciplinary field that combines artificial intelligence, database management, data visualization, machinelearning, mathematic algorithms, and statistics
Authors:Ziliang Wang, Haohao Dong, Xiaoxia Du, Jin-Tao Zhang, and Guang-Heng Dong
fMRI studies, the number of features is much more than the number of subjects, which leads to the “curse of dimensionality” in machinelearning studies ( Fort & Lambert, 2005 ; Martino et al., 2007 ). Feature extraction allows neuroimaging data (ReHo
CiteSeer data which we will briefly mention.
Zhou et al. ( 2007 ) have investigated documents from CiteSeer to discover temporal social network communities in the domains of databases and machinelearning. On the other hand, Hopcroft et al. ( 2004
Authors:Michael Eckmann, Anderson Rocha, and Jacques Wainer
work quickly often prefer to publish in conferences and workshops proceedings.
Many computer science subareas have their own top conferences and journals. For example, in machinelearning, the two conferences Intl. Conference on Machine
In several scientific areas—like ecology, information retrieval, machinelearning, psychology and scientometrics—the measurement of similarity between objects plays a role. In scientometrics, examples of considered
Authors:Anna Gábor, Noémi Kaszás, Ádám Miklósi, Tamás Faragó, and Attila Andics
some documentation that dog barking contains enough information for IR. Using different types of machine-learning approaches, both Molnár et al. ( 2008 ) and Larrañaga et al. ( 2014 ) were able to recognize individual dogs well above the level of