Analysis of the lung cancer patient’s for data mining tool

Data mining technology recently focuses on the methods of classification of the decision tree in data mining and propose a new algorithm for the classification of the decision tree with variable accuracy. The researcher uses the data analysis tool Rattle Rand Weka. The researcher use data sets for different age groups are divided into gender-related treatment for lung cancer using various modes of treatment in this research. The age group is in between (30-60 years) with categories in males and females. The decision tree is a suitable and sufficient algorithm for analyzing the results of treatment with radiation and chemotherapy for a specific age group. The Rattle R and Weka tools predict each group for best treatment method by which the appropriate treatment method can be analyzed. The predictions are also compared using graph plots with related tables also. These graphs are correlated with the forecasts. The researcher introduces the most efficient and widely used classification methods for data mining techniques and the main concepts of the decision tree method. In addition, the two data mining software rattle R and Weka are briefly described. To illustrate the procedure of this research, 200 real data sets were then compared in terms of the accuracy of the classification between the two different algorithms of the decision tree

Combination of brain cancer with hybrid K-NN algorithm using statistical of cerebrospinal fluid (CSF) surgery

The spinal cord or CSF surgery is a very complex process. It requires continuous pre and post-surgery evaluation to have a better ability to diagnose the disease. To detect automatically the suspected areas of tumors and symptoms of CSF leakage during the development of the tumor inside of the brain. We propose a new method based on using computer software that generates statistical results through data gathered during surgeries and operations. We performed statistical computation and data collection through the Google Source for the UK National Cancer Database. The purpose of this study is to address the above problems related to the accuracy of missing hybrid KNN values and finding the distance of tumor in terms of brain cancer or CSF images. This research aims to create a framework that can classify the damaged area of cancer or tumors using high-dimensional image segmentation and Laplace transformation method. A high-dimensional image segmentation method is implemented by software modelling techniques with measures the width, percentage, and size of cells within the brain, as well as enhance the efficiency of the hybrid KNN algorithm and Laplace transformation make it deal the non-zero values in terms of missing values form with the using of Frobenius Matrix for deal the space into non-zero values. Our proposed algorithm takes the longest values of KNN (K = 1-100), which is successfully demonstrated in a 4-dimensional modulation method that monitors the lighting field that can be used in the field of light emission. Conclusion: This approach dramatically improves the efficiency of hybrid KNN method and the detection of tumor region using 4-D segmentation method. The simulation results verified the performance of the proposed method is improved by 92% sensitivity of 60% specificity and 70.50% accuracy respectively

Assurance due to the Usage of Two ERP Methods: Microsoft Dynamics AX and SAP

International audienceA speculation-based resource organising technique aids agencies in routing information across many industrial components. Organisation functions through IT (Information Technology) with the use of the latest technology helps HR (Human Resources) increase gross sales and beyond. The problem associated with an industry organizational tool is that it needs to share data from the MRP (Material Requirements Planning) system with financial accounting, customer relationships, the supply chain or other applications with the use of the latest technologies. Organisations cannot easily acquire choices, whatever ERP (Enterprise Resource Planning) devices are made for their organisation.In this research paper, we performedand maintained QA (Quality Assurance) using two ERPs are Microsoft Design AX and SAP (Software and Application). Selecting the best ERP technique is never easy. These sort of options are likely to be a really expensive investment decision along with lifetime costs which include a huge amount of money. In this research article, we have highlighted the important elements of the investigation tasks – the biological materials or groupings, steps, treatment options or applications, and also strategies within the assignment. This study can be a resourceful approach to get the essential details through the most effective way possible. This is caused by truth migration; you can use technique personalisation and employee education thoroughly, making use of the types of programs and talks that take a couple of months to more comprehensive period of time to perform. This research study hasfound that ERP is better than the currently used Supply Chain module