Today, we have such large data sets that these algorithms are no longer efficient enough for mining and analysing. In this paper, we have addressed a data clustering problem and developed a scalable algorithm, which provides very high precision and recall values. This algorithm is used on a ...
Data Mining is a set of techniques aiming to find useful information through a process of analyzing data from multiple perspectives. As an emergent topic, data mining has currently a rapid progress and exponential use in several fields. Many researches have been proposed in this topic. Theory and...
ata Mining' NTDM]]>With over two decades of research and practical applications in Data Mining (DM), most experts and analysts in the area feel that its future will be bright. As in any active research areas, trends in technologies, methods, and applications in DM evolve in time. In ...
Special issue: Rough and Fuzzy Methods for Data Mining This paper presents an application study of exploiting fuzzy-rough feature selection (FRFS) techniques in aid of efficient and accurate Mars terrain image classification. The employment of FRFS allows the induction of low-dimensionality ... AE...
CiteSpace was used for data mining and visual analysis. Results A total of 1738 papers on preconditioning in cerebral ischemia were included in the study. The annual publications showed an upwards and then downwards trend but currently remain high in terms of annual publications. The US was the...
Introduces a series of articles concerning granular computing and data mining, published in the June 2004 issue of "International Journal of Intelligent Systems". Rough set spatial data modeling for data mining; Fuzzy information granules in time-series data; Associations and rules in data mining; ...
Data mining applications explore large amounts of heterogeneous data in search of consistent information. In such a challenging context, empirical learning methods aim to optimize prediction on unseen data, and an accurate estimate of the generalization error is of paramount importance. The paper shows...
Search all Data Mining and Knowledge Discovery articles July 2013 Special Issue: Intelligent Interactive Data Visualization Issue Editors: Barbara Hammer, Daniel Keim, Neil Lawrence, Guy Lebanon 7 articles in this issue Preface: Intelligent interactive data visualization ...
Partially purified emodin deoxygenase activity was low in the absence of mercaptans and was increased eight-fold by the addition of dithiothreitol. It is proposed that a pair of thiol groups is required for activity and that they occur in the disulphide form in the absence of mercaptans....
Attention to Digital Innovation: Exploring the Impact of a Chief Information Officer in the Top Management Team Profit vs. Equality? The Case of Financial Risk Assessment and a New Perspective on Alternative Data The Effect ...