Creativity has a strong and influential outcome on entrepreneurial intention and is considered as a primary driving factor behind every business. Having been identified as a key cognitive processing component, it starts from the development of original and practical ideas, realizing them followed by its market establishment. Although various definitions exist for creativity, the creativity theory postulated by (Rhodes, 1961), identified four Ps such as Process, Product, Person, and Place gained much attention among the researchers. Creativity, when combined with Abstract

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Role of Creativity and Technological Innovation in Achieving Entrepreneurial Success

With the development of information technology in healthcare industry, more and more data has been generated and stored electronically. To fully exploit the information and knowledge, data mining and machine learning methods have been developed and studied. We notice that a large body of healthcare data are lack of supervised information which requires expense human efforts in labelling or scoring them so as to be analysed in a data mining model. In this article, we address the problem of making use of unlabeled or un-scored data, together with only a few supervised data, to improve the performance of analysis model for healthcare decision making. This kind of paradise is called semi-supervised learning in machine learning literatures. We focus on semi-supervised kernel learning and propose to apply the learned kernel in two algorithms, i.e., support vector machine SVM and kernel regularised least squares KRLS. The evaluation results on two publicly available healthcare dataset illustrate the effectiveness of the proposed framework.

Semi-supervised learning methods for large scale healthcare data analysis

Data mining is growing and most important process of knowledge discovery in any possible concern of huge data base where knowledge is unearthed or gained by analyzing the data stored in very large repositories. An attempt is made in this paper to talk very briefly and systematically about the changes and historical development in data mining in changing times. It also gives importance about the current trend and future role of data mining.

Application of Data Mining in Changing Times and its Role in Future

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Application of Data Mining in Changing Times and its Role in Future