By Panos M. Pardalos, Antonio Mucherino, Petraq J. Papajorgji
Data Mining in Agriculture represents a finished attempt to supply graduate scholars and researchers with an analytical textual content on info mining strategies utilized to agriculture and environmental comparable fields. This e-book provides either theoretical and functional insights with a spotlight on providing the context of every information mining process fairly intuitively with plentiful concrete examples represented graphically and with algorithms written in MATLAB®.
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Additional resources for Data Mining in Agriculture (Springer Optimization and Its Applications)
The reader is referred to [162, 178, 194] for recent surveys on methods for solving multi-objective optimization problems. 1 The simulated annealing algorithm In this section, we give some more details about one of the easiest methods for optimization, the simulated annealing (SA) . It is a meta-heuristic method, 18 1 Introduction to Data Mining which is inspired by a physical process. Since it is very easy to implement, it can be used to perform the first experiments on a given optimization problem.
As the points are not aligned, not all of them lie on the x axis as in the previous case. However, the new variables xˆ and yˆ obtained after the transformation have interesting properties with respect to the original ones x and y. 2 shows. 5 −1 −3 −2 −1 2 3 4 5 Fig. 2 A possible transformation on quasi-aligned points: (a) the points are in their original locations; (b) the points after the transformation. the corresponding variable yˆ has almost a null variability. In this second example, yˆ has a certain variability, but it is very small.
Recently, stock markets are represented as networks (or graphs). 2, the success of a data mining method strongly depends on the data representation used. In this approach, a network connecting different nodes representing different stocks seems to be the optimal choice. The network representation of a set of data is currently widely used in finance, and also in other applied fields. In this example, each node of the network represents a stock and two nodes are linked 14 1 Introduction to Data Mining in the network if their marketing price is similar over a certain period of time.