Abstract: The purpose of this paper is to test the hypotheses that relations between organizational learning culture, developmental feedback and career satisfaction in the manufacturing organizations. A sample of 155 engineers was drawn from two major manufacturing organizations located in the Northern Malaysia. Participation in the research was voluntary and data were gathered by means of a survey questionnaire. Multiple regression results provided support for the direct impact of organizational learning culture and developmental feedback on the engineer’s career satisfaction. Key implications of the survey findings both of the theory and practice are discussed, potential limitations are specified, and directions for future research are suggested.

• Publication Date: 18-Mar-2016
• DOI: 10.15224/978-1-63248-094-1-86
• Views: 0
• Downloads: 0

Abstract: Research in the health related field involves the use of high dimensional data where microarray gene expression data are used for the classifier based detection of diseases and abnormalities. Many machine learning tools and methods have been presented and proposed to detect diseases from microarray gene expression datasets where the overwhelming majority of work is for the detection of cancer. However, less attention is made to the detection of autism using such data. We experiment with autism detection using five gene expression data sets from five chromosomes. This data includes a low number of samples and a high number of features that reach tens of thousands. The task is difficult due to the large dimension of the data set and the high overlap in the class distributions. Therefore, a feature selection stage is necessary before the classifier and combiner design stages. We experiment with four feature selection methods, five classifier types and two existing combiner methods. Additi

• Publication Date: 18-Mar-2016
• DOI: 10.15224/978-1-63248-091-0-01
• Views: 0
• Downloads: 0