D. M. Farid, "Improve the Quality of Supervised Discretization of Continuous Valued Attributes in Data Mining," In Proc. of the 14th International Conference on Computer and Information Technology (ICCIT 2011), 22- 24 December 2011, Dhaka, Bangladesh, pp. 61-64, and IEEE Xplore Digital ...
In data mining, when using Naive Bayes classification technique, it is necessary to overcome the problem of how to deal with continuous attributes. Most previous work has solved the problem either by using discretization, normal method or kernel method. This study proposes the usage of different ...
Real-life data usually are presented in databases by real numbers. On the other hand, most inductive learning methods require a small number of attribute values. Thus it is necessary to convert input data sets with continuous attributes into input data sets with discrete attributes. Methods of di...
multiple continuous attributes in our model, we make particular assumptions about the underlying mixture model, demonstrating the utility of our approach by way of the applications considered below. As the geometry of attribute data in high dimensions can be highly variable across datasets, having more...
Let’s explore some of the competencies described in the cATO memo with examples of how Tanzu Platform can help support them. Continuous monitoringSome attributes of continuous monitoring include near real-time reporting and analysts of the application landscape throughout the entitle lifecycle. This...
These medical data with different physical attributes should be processed with different technologies and measures, and then, the results of the processing should be integrated; (3) fast and robust mining algorithm: medical databases involve a wide range and a large amount of information. To ...
The specific characteristics of the SVM method versus the other statistical methods have been the reason for its growingly extensive application in many areas, such as agriculture. In a study, the multi-class agricultural datasets with continuous attributes were classified by using Quadratic-Radial-Basi...
These joins can be nested-loop or index joins de- pending on whether we choose to build indexes on the join attributes in Syn4 and Syn5. Logically, Syn4 con- tains the 40,000 most recent tuples in stream S1 that binary-join has processed. In our implementation, actual tuple data are...
The number of variables in each network is one larger than the number of attributes in the data set (reported in Table 1), #ARC denotes the number of arcs, #FP denotes the number of free parameters in the resulting BN model, μIN denotes the mean node in-degree, CPTmax denotes the ...
Key-value access is sufficient for all transactional workloads faced by the system. However, the system is not adapted to answer the increasing amount of real-time, decision-support queries that select on non-key attributes, for example:"give the number of 1rst class passengers who require a ...