Titlebook: Advances in Data Mining: Applications and Theoretical Aspects; 13th Industrial Conf Petra Perner Conference proceedings 2013 Springer-Verla

賭博

Mercurial

Robust Feature Selection for SVMs under Uncertain Data,g views. are held. This divergence, may be the result either of insufficient knowledge of the facts of particular poultry husbandry systems or a differing interpretation of those facts. With regard to poultry and the laying hen in particular. there is a need to gather together a basic knowledge of a

evanescent

A Hybrid Machine Learning Method and Its Application in Municipal Waste Prediction,r to die for it. As leadership qualities and image issues gain significance in the public discourse, the psychological study of leadership is a critical factor in any discussion. With its trenchant insights into leaders past and present,?.The.?.Leader: Psychological Essays., Second Edition, updates

Alopecia-Areata

BiETopti-BiClustering Ensemble Using Optimization Techniques,, crimes against sdentific procedures, crimes against common sense itself. These objects are real enough, but their contours-and their gravity- mysteriously change with the perspective of the critic. From the outside, psychohistorians are to academic history what psychoanalysts are to academic psych

上流社會(huì)

玷污

Handedness

Methanol: Building Block for Chemicals,nd processing have been attempted. In this work we propose a methodology based on the idea that statistically proven search space reduction is possible in practice. Following a previous methodology two clustering models are generated: one corresponding to the full data set and another pertaining to

manifestation

adulterant

Homogeneous Carbon Monoxide Hydrogenation,ecuted to investigate the effect of the manipulated variables (MV) on the (quality of the) process. Due to their nature, these tests are very time-consuming for batch processes. This paper investigates whether suitable data-driven models for batch optimization and control can be identified from a mo

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https://doi.org/10.1007/978-94-009-9513-0nd their corresponding cost overruns. The approach is based on finding co-occurring patterns of solution elements and cost-overrun elements, i.e., elements that had to be implemented as not foreseen in the project planning phase. In order to find such co-occurring patterns we apply closed itemset-mi