Search Results - subject:"preprocessing"

An integrated fuzzy mathematical model and principal component analysis algorithm for forecasting uncertain trends of electricity consumption

Azadeh, A.; Saberi, M.; Gitiforouz, A. - In: Quality & Quantity: International Journal of Methodology 47 (2013) 4, pp. 2163-2176

of preprocessing methods but genetic algorithm, artificial neural network and fuzzy inference system require … preprocessing which could be a cumbersome task to deal with ambiguous data. The unique features of the proposed algorithm are three …

Persistent link: https://www.econbiz.de/10010843936

ANS-based preprocessing of company performance indicators

Vasili?s N. Nikolaidis; Makris, Ilias A.; … - In: Global Business and Economics Review 15 (2013) 1, pp. 49-58

clusters or to identify known patterns, the role of the ANS here is in the early pre-processing stage, to produce a smaller … classify the companies in performance groups, using: a) minimal pre-processing of the original company data; b) dimensionality …-reduction through principal component analysis (PCA); c) variables resulting from the examined ANS-based pre-processing method. The …

Persistent link: https://www.econbiz.de/10010669063

Railway demand forecasting in revenue management using neural networks

Azadeh, Sh. Sharif; Labib, R.; Savard, G. - In: International Journal of Revenue Management 7 (2013) 1, pp. 18-36

relationship between number of passengers and factors affecting this quantity based on historical data. Relevant pre-processing …

Persistent link: https://www.econbiz.de/10010669596

A continuous-time MILP model for short-term scheduling of make-and-pack production processes

Baumann, Philipp; Trautmann, Norbert - In: International journal of production research 51 (2013) 6, pp. 1707-1727

Persistent link: https://www.econbiz.de/10009705682

Instance sampling in credit scoring: An empirical study of sample size and balancing

Crone, Sven F.; Finlay, Steven - In: International Journal of Forecasting 28 (2012) 1, pp. 224-238

To date, best practice in sampling credit applicants has been established based largely on expert opinion, which generally recommends that small samples of 1500 instances each of both goods and bads are sufficient, and that the heavily biased datasets observed should be balanced by undersampling...

Persistent link: https://www.econbiz.de/10010796140

Strong duality and minimal representations for cone optimization

Tunçel, Levent; Wolkowicz, Henry - In: Computational Optimization and Applications 53 (2012) 2, pp. 619-648

the success of current algorithms. In addition, preprocessing is an essential step for efficiency in both simplex type and … interior-point methods. However, the theory and preprocessing techniques can fail for cone programming over nonpolyhedral cones … cone and the constraints. This provides a framework for preprocessing cone optimization problems in order to avoid both the …

Persistent link: https://www.econbiz.de/10010600749

Feedback Based Architecture for Reading Check Courtesy Amounts

Palacios, Rafael; Gupta, Amar; Wang, Patrick - Sloan School of Management, Massachusetts Institute of … - 2004

In recent years, a number of large-scale applications continue to rely heavily on the use of paper as the dominant medium, either on intra-organization basis or on inter-organization basis, including paper intensive applications in the check processing application. In many countries, the value...

Persistent link: https://www.econbiz.de/10005587583

Data Mining: Modellierung, Methodik und durchführung ausgewählter Fallstudien mit dem SAS Enterprise Miner

Gottermeier, Christian - 2003

, Entscheidungsbaum und Regression. Bei der Durchführung von Fallstudien wird u.a. auf das Pre-Processing eingegangen. …

Persistent link: https://www.econbiz.de/10009476220

An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran

Azadeh, A.; Saberi, M.; Seraj, O. - In: Energy 35 (2010) 6, pp. 2351-2366

from fuzzy regression and time series model is selected by the Granger-Newbold. Also, the impact of data preprocessing on …

Persistent link: https://www.econbiz.de/10010809152

Efficient preprocessing for VLSI optimization problems

Hare, W.; Liu, M.; Terlaky, T. - In: Computational Optimization and Applications 45 (2010) 3, pp. 475-493

Persistent link: https://www.econbiz.de/10008552380