Download Data Mining in Agriculture (Springer Optimization and Its by Panos M. Pardalos, Antonio Mucherino, Petraq J. Papajorgji PDF

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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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) [128]. 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.

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