Pattern Recognition Analysis: the classification or labeling of an identified pattern in the machine learning process. Show
Correlation Analysis: determines a statistical relationship between variables, often for the purpose of identifying predictive factors among the variables. Social Media Analysis: analyzes text following across the internet, including unstructured text from blogs and messages. Exploratory Data Analysis: identifies patterns in data, including outliers, uncovering the underlying structure to understand relationships between variables. Speech Analysis: the process of analyzing recorded calls gather information; brings structure to customer interactions and exposes information buried in customer contact center interactions with an enterprise. Web Analysis: analyzes unstructured data associated with websites to identify consumer behavior and website navigation. Text Analysis: analyzes unstructured data to find trends and patterns in words and sentences. What is the process of identifying rare or unexpected items or events in a data set that do not conform to other items in the data set multiple choice question?Anomaly Detection: The process of identifying rare or unexpected items or events in a dataset that do not conform to other items in the dataset and do not match a projected pattern or expected behavior.
What is the process of analyzing data to extract information not offered by the raw data alone?The process of analyzing data that helps extract information other than that offered by raw data is data mining.
What is the process of sharing information to ensure consistency between multiple data sources?Data integration is the process of taking data from multiple sources and combining it to achieve a single, unified view. The product of the consolidated data provides users with consistent access to their data on a self-service basis.
What is a data value that is numerically distant from most of the other data points in a set of data?An outlier is any value that is numerically distant from most of the other data points in a set of data. We know that -86 is far below any of the other values in our data set. It is not uncommon to find an outlier in a data set.
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What is the process of identifying rare or unexpected items or events in a data set that do not conform to other items in the data set?
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