Titlebook: Hybrid Soft Computing Approaches; Research and Applica Siddhartha Bhattacharyya,Paramartha Dutta,Susanta Book 2016 Springer India 2016 Hyb

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REFII Model as a Base for Data Mining Techniques Hybridization with Purpose of Time Series Pattern R is primarily a model used for transformation of values of time series, which prepares data used by different sets of methods based on the same model of transformation in the domain of problem space. REFII model gives a new approach in time series analysis based on a unique model of transformation,

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A Soft Computing Approach for Targeted Product Promotion on Social Networksor a product feature and user preferences for the same are captured. Based on these preferences users are grouped into homogeneous segments in the second phase, i.e., market segmentation. Thereafter, for targeted product promotion the most potential segment(s) with respect to the product to be promo

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Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysisle to identify clusters utilizing particle swarm optimization based on rough set generated membership values. This approach addresses the overlapping regions in remote sensing images by uncertainties using rough set generated membership values. Particle swarm optimization is a population-based stoch

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Neuro-Fuzzy Hybridized Model for Seasonal Rainfall Forecasting: A Case Study in Stock Index Forecastg (1901–1960) and testing (1961–1990) data sets are then compared with existing models. The results clearly exhibit the superiority of our model over the considered existing models. The applicability of the proposed model has also been examined in the stock index data set.

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A Hybrid CS–GSA Algorithm for Optimizationapter is to increase the exploration capability of the Gravitational search algorithm in the Cuckoo search (CS) algorithm. The CS algorithm is common for its exploitation conduct. The other motivation behind this proposal is to obtain a quicker and stable solution. Twenty-three different kinds of st