The prediction of the occurrence of heart disease in the medical area is an important task. Algorithm of data mining are very helpful in the detection of Cardiovascular disease. In this paper, a survey has been
M. Kukar (2006) Quality assessment of individual classifications in machine learning and data mining, Knowledge and information systems, vol. 9, no. 3, pp. 364-384.Matja? Kukar.  Quality assessment of individual classifications in machine learning and data mining[J]. Knowledge and ...
In knowledgediscovery process association rule mining and classification aretwo important techniques of data mining and widely used invarious fields. In order to mine only rules that can be used forprediction, we modified the well known association rule miningalgorithm - Apriori to handle user-...
Principles of Data Mining and Knowledge Discovery, PKDD 2001, Springer (2001), pp. 253-265 CrossrefGoogle Scholar [17] L. Jost Entropy and diversity Oikos, 113 (2) (2006), pp. 363-375 CrossrefView in ScopusGoogle Scholar [18] W.W. Li, Z.Q. Huang, X.Y. Jia, X.Y. Cai Neighbo...
Fig. 1. Distribution of plasmid sizes according to relaxase MOB class. The histogram shows the abundance of plasmid size bins. For plasmids encoding a relaxase, the different colors indicate each of the nine MOB classes. Data were obtained from 9894 plasmid sequences retrieved from RefSeq data...
The amount of freely available human phenotypic data is increasing daily, and yet little is known about the types of inferences or identifying characteristics that could reasonably be drawn from that data using new statistical methods. One data type of p
What is the difference between data mining and big data? Who coined the term big data? How did big data start? How long has big data been around? Who created big data? What are the tools for big data? What is the maximum number of 16-bit words that can be stored in a 2^32 ...
OPEN Standardizing continuous data classifications in a virtual T‑maze using two‑layer feedforward networks Johannes Rodrigues*, Philipp Ziebell, Mathias Müller & Johannes Hewig There continues to be difficulties when it comes to replication of studies in the field of Psychology....
RNNs are a type of ANN in which nodes create a guided graph along a temporal sequence and have an internal memory that allows them to remember important information about the input data [164–166]. As a result, RNNs are good and preferred algorithms for dealing with sequential data and ...
1. A machine learning classifier system comprising: a data set processing subsystem to: generate a training set from a plurality of data sources, and a validation set from the plurality of data sources, wherein to generate the training set and the validation set, the data set processing subsys...