digestnoob.blogg.se - Basic data analysis methods

spatial analysi- the Spatial class methods using topological, geometric and geographic information data,.artificial neural networks, network analysis, optimization,including genetic algorithms,.with a statistical ensemble in statistical mechanics),

Machine learning,including training with the teacher without the teacher,as well as learning Ensemble- the use of models built on the basis of statistical analysis and machine learning for complex projections based on basic models constituent Wed.fusion and integration-data a set of techniques for integrating disparate data from a variety of sources to enable in-depth analysis, as examples of such techniques, composing this class of methods provides digital signal processing,and natural language processing (including tone analysis),.

crowdsourcing- categorization and enrichment of data forces wide, an indefinite number of people, attracted on the basis of a public offer, without entry labor relations.

Class Methods Data Mining:rule learning,association classification (methods of categorization of new data on the basis of previously Applied on the longer is there data), cluster analysis, regression analysis,.

Methods and analysis techniques applicable to big data, allocated at McKinsey report.