Data set

defined threshold value then grouped the user. All the nodes in this group are our expected nodes. Now for the nearest one we run BFS and extract the best one for recommendation. \subsection{Testing:} In this section we get social network data as sample data set. Our task here is to get the accuracy of our estimated work. For this estimating we can use SVM. SVM is the Machine learning tools that is used for supervised learning technologies for both classification and regression

cases, in current clinical practice. An admonition when interpreting these results is that this study only uses patients’ data for a duration of four years; up to this point we know what the status of each patient is. The survival rate now is the most precise reflection of the survival rate of the patients in the whole data set. Survival times at the most distant right of a Kaplan-Meier survival curve ought to be deciphered with care, since there are less patients still in the study and the survival

A challenge in validating the LKMTA as a tool for assessing large data sets is that it is not practical to use manual tracking on large data sets. We reasoned that an alternative approach would be to compare the output of the DTA with the output of the LKMTA on the same data set described above. If both gave similar results, it would provide confidence that both are reliable. Likewise, large variations in the output between the approaches would call one or both into question. To make this comparison

This project plan details the intentions and requirements of a project contracted by the Capital Bikeshare. The project’s goal is to increase bike rentals by optimally selecting locations for bike rack stations. As contracted consultants, our team’s intent is to provide Capital Bikeshare with an analytic tool that evaluates locations in the Washington DC metropolitan statistical area for their fit as bike stations. The analytic tool includes visuals to supplement the scoring system to assist the

The article asks the impact that air pollution has on infant health. The authors used data from New Jersey in the 1990s as the focus case to explore the answer to the question. This question is important because air pollution could have inflicted irreversible changes to the health and well-being of the next generation. The long-term changes to health could have important implications to the future of the world. Xing and Kolstad conducted a study to determine the relationship

dot plot for these data. b. Make a frequency table for these data. c. What is the most frequent number of children? Assessment 10-2B: Exercise 8 The data shown estimate the number of flea eggs produced over a period of days. a. Draw a line graph of the given data. b. Predict how many eggs there might be on day 28. Assessment 10-3B: Exercises 1 & 4 Calculate the mean, the median, and the mode for each of the following data sets: a. 82, 80, 63, 75

datasets. GIS data catalog for Enterprise Geodatabase is a project which allows acquiring information regarding the availability of GIS datasets and related properties such as quality, description, the point of contact, extent, etc. The audience for the project are the internal customers looking for data. Managing spatial metadata records are critical for maintaining an organization 's investment in spatial data. Since the year 2009, UServices support terabytes of data. However, the data does not consist

A second set of data containing authorship and content information was collected from four prestigious journals across 32 years (1985-2016 inclusive). This timeframe enables analysis of trends across three decades and significant geopolitical events, such as the end of the Cold War. Earlier years were not included due to the difficulty of obtaining reliable data. The journals considered in this phase were selected by ranking the 24 journals from the first phase by their Thomson Reuters impact factor

This task involves trying to give an educated guess on a linear regression model for pricing real estate using a real facts date set using numbers and facts. Normally two approaches are used for valuing a real estate property: income and sales comparison. The sales assessment approach values a real estate property based on sale prices of similar properties. In this case the properties with familiar individuality are basically on the same price level, it would be typical to use a linear regression

The measure results of the data sets are not surprising. The means of each of the independent variables reflect the arbitrary evaluations of each of these parameters. All the variables have relatively small standard errors compare to their mean. Also, the medians and the means mostly lie fairly close to each other, in another word, the means well indicate the actual distribution of the data sets. One of the possible concerns is that per capita disposable income has both high standard deviation and