Figure 2. oxplot representation of the nine variables which characterize the GCbreadProcess data set (see text for details). Show moreView chapter Book series 2013, Data Handling in Science and TechnologyMario L
This can be a complex and error-prone process, especially when synchronizing data from multiple sources at a multi-terabyte scale, and requires planning ahead. Qualifying. This step consists of using descriptive statistics to understand the data and how to work with it....
When datasets have more complex nonlinear relationships like quadratic functions, only the effects on linear relationships are considered and quantified using correlation coefficient. The presence of outliers can also skew the measure of correlation. Visually, correlation can be observed using scatterplots ...
Example 1.5.4 The grouped data in Table 1.8 represent the number of children from birth through the end of the teenage years in a large apartment complex. Find the mean, variance, and standard deviation for these data: Table 1.8 Number of Children and Their Age Group Class 0–3 4–7 8...
Data mining is the next analytical stage, which entails searching the data for patterns and significance. Data analytics and data analysis are closely related processes that involve extracting insights from data to make informed decisions. Types of Descriptive Analysis A variety of empirical ...
This data driven methodology has proven effective to improve the quality of decision-making in several domains such as business, medical and complex engineer‑ ing problems. Recently, educational data mining (EDM) has obtained a great deal of attention among educational researchers and computer ...
Visual hallucinations can range from elementary flashes of light through fully formed visions of animals, objects and persons, to complex scenes. It is sometimes difficult to distinguish between internal images, illusions and clear visual hallucinations. Diagnostic significance Visual hallucinations characteris...
Ultimately, topic models aim to process and simplify vast text data into manageable and meaningful forms. The applications of topic models are vast and include document mining (Syed et al., 2018, Ahammad, 2024), emotion mining (Rao et al., 2014, Rao, 2015, Pang et al., 2019) text ...
One participant felt overwhelmed with the number of passwords that are required to use ICTs and the need to synthesize complex passwords: Yeah, I can’t deal with, you know, like if I want to search about something on a Google, I pray, I go, or if they ask me to put my password...
When projecting physical “real” surfaces of Euclidean space onto a plane using orthogonal projection, elevation data are usually also supplied. Cartography, geodesy, mining, road and railway construction and river regulation, as well as solving certain tasks in forestry require a special representation...