Classification in data mining involves classifying a set of data instances into predefined classes. Learn more about its types and features with this blog.
Classification is a task of data mining. A data mining system can be classified according to the kinds of databases mined. Database systems can be classified according to different criteria (such as data models, or the types of data or applications involved), each of which may require its ...
Big Data contain huge volume, complex, increasing data sets by means of numerous, independent sources. We present a theorem that describes the types of the Big Data revolution, and propose a Big Data handling model, with the data mining perspective. This model is data- driven and includes ...
We have made a careful selection of clinical data from various domains in order to identify the performance of the data mining algorithms on different types of clinical datasets. Our research work incorporates the design of a data mining framework that generates an efficient classifier that is ...
Bayesian networks have been applied to the analysis of genomic data, and mainly for investigating relationships between data and different types of data obtained from multiple platforms in the context of prostate cancer. Xutao, Huimin, and Hesham (2007) created a Bayesian network approach which uses...
[9] which relate amplitude and phase), by extending ELMs to complex inputs, their applications domain can dramatically increase, encompassing all types of research associated to the study of the interaction of matter with waves, and in particular spectroscopy (acoustic, dielectric, optical, ...
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The international journal Advances in Data Analysis and Classification (ADAC) is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from many types of data. It publishes articles on such topics as structural, quantitative, or ...
In this perspective, feature selection combined with classification could offer new strategies for quasi real-time diagnosis using other types of big data, in particular physiological data obtained with connected health objects and mobile health applications....
Considering the three site types, the hot-standby tends to have a higher cost than the warm and cold-standby, but it can present better results in case of a disaster (Zhu et al., 2017). At the VM level, four types of DR strategies can be employed: monitoring, VM replication, VM ...