[PDF] Top 20 The Study on Predictive Analysis Algorithm : Survey

... of predictive analysis based on the availability of high- quality data and effective sharing and it is based on i) Data collection ii) Deployment and iii) Statistics ... See full document

... In Agricultural Production System based on IoT[7] and Design and deployment of a wireless sensor network for landslide risk management[8], they have presented a wireless network system which helps farmers to learn about ... See full document

... comparison would lead to the misclassification of samples (85 positive and 118 negative) and consequently mislead- ing evaluation of the performance of RDTs. It should be taken into account that even though laboratory ... See full document

... this study, features of previous works have examined in details; detection of bad smells in the code has been tested on some algorithms by evaulating algorithm ...This study compared basic sorting ... See full document

... this study that must be considered when interpreting the ...this study involved the use of a non-validated ...validated survey available for assessing surgi- cal demographics for the use in future ... See full document

... and predictive analytics with text data as the source to be analyzed use sentiment analysis as the basis of ...The algorithm used in the sentiment analysis plays a major factor in the accuracy ... See full document

... The Naive Bayes is a brisk strategy for production of statistical predictive models. NB depends on the Bayesian theorem. This supervised method examines the relationship between each property and the class for ... See full document

... previous study, 30 the greater number of risk factors provided an explanation for the greater precision in pre- dicting fall risk (20 – 30 factors or ...factor analysis showing that they might not be well ... See full document

... survival analysis can address questions about onset, cessation, relapse, and ...survival analysis and also discussed several types of models, including parametric and semiparametric, proportional and ... See full document

... Clustering algorithm is applied to this cumulated data to acquire valuable statistical information such as identifying high risk locations, the ratio of accidents in each location, the cause of the catastrophe and ... See full document

... this study was to develop a predictive algorithm using Australian (Queens- land) routine inpatient data and to establish whether this would provide an effective method of identifying patients at risk ... See full document

... An algorithm is selected which will satisfy the constraints of a good categorization of ...agglomerative algorithm with the help of single and complete linkage ...data analysis and also extracts the ... See full document

... our study may have underestimated the potential increase in sensitivity achieved with adding hospitalization data to physician ...our study was limited to the Ontario health care context and results may not ... See full document

... an algorithm with the following properties: (i) simple implementation with straight for- ward methodology, and (ii) high predictive ...our algorithm using Microsoft Excel ™ 2007, and will share the ... See full document

... Birch helps to cluster on large data set using CF Tree that scans the data set only once and the second scan helps to improve the quality of the cluster. This algorithm can be used when limited memory is available ... See full document

... quantitative analysis of the differences among the predictive information quantities provided by the lexical feature types, part-of-speech feature types and constituent label feature types from the view of ... See full document

... thermo-acoustic analysis, a simple and non destructive method compared with expensive and time consuming methods such as chromatographic, spectroscopic and enzymatic techniques, is done to study the ... See full document

... meta-analysis study, the use of learning cycle models in the educational process was examined academic achievements on students, and the remaining effects were excluded from the scope of the ... See full document

... the analysis of the determinants of ...Panel Survey while the papers by Cox and Jappelli (1993), Zhu and Meeks (1994) and Crook (2001) use the USA Survey of Consumer ...of analysis of a recent ... See full document

... above analysis, combining the Smith-PID control and Smith-Fuzzy control, with some ap- proximate equivalent processing for Smith predictive control, that is, take the d steps sliding average of the his- ... See full document