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Terms in this set (47)Data Mining the process of analyzing data to extract information not offered by the raw data alone. Advanced Analytics focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics. Data Visualization describes technologies that allow users to see or visualize data to transform information into a business perspective. Big Data a collection of large, complex data sets, including structured and unstructured data, which cannot be analyzed using traditional database methods. Variety a characteristic of big data; different forms of structured and unstructured data. Veracity a characteristic of big data; the uncertainty of data. Volume a characteristic of big data; the scale of data. Velocity a characteristic of big data; the analysis of streaming data as it travels around the internet. Distributed Computing processes and manages algorithms across many machines in a computing environment. Virtualization creation of a virtual version of computing resources, such as an operating system, a server, a storage device, or network resource. Elements of Data Mining data Data Mining Tools use a variety of techniques to find patterns and relationships in large volumes of information. The tools include: query tools, reporting tools, spreadsheets, statistical tools. Data Mining Process Model 1. business understanding Data Profiling the process of collecting statistics and information about data in an existing source. Data Replication the process of sharing information to ensure consistency between multiple data sources. Recommendation Engine a data mining algorithm that analyzes a customer's purchases and actions on a website and the uses the data to recommend products. Classification a data mining technique; the process of organizing data into categories or groups for its most effective and efficient use. Estimation determines values for an unknown continuous variable behavior or estimated future value. Affinity Grouping reveals the relationship between variables along with the nature and frequency of the relationship. Clustering a technique used to divide an information set into mutual exclusive groups. Market Basket Analysis evaluates such items as websites and checkout scanner information to detect customer's buying behavior and predict future behavior by identifying affinities among customers choices of products and services. Prediction a statement about what will happen or might happen in the future. Optimization a data mining prediction analysis method; a statistical process that finds the way to make a design, decision, or system as effective as possible. Forecasting a data mining prediction analysis method; predictions based on time series information. Regression a statistical process for estimating the relationships among variables. Time Series Information a time-stamped information collected at a particular frequency Dimension a particular attribute of information. Cube common term for the representation of multidimensional information. Infographics presents the results of data analysis. Data Artist a business analytics specialist who uses visual tools to help people understand complex data. Analysis Paralysis occurs when the user goes into an overthinking of a situation so that a decision and action is never taken. Business Intelligence Dashboards track corporate metrics such as CSF's and KPI's and include advanced capabilities such as interactive controls, allowing users to manipulate data for analysis. Data Visualization Tools sophisticated analysis techniques such as controls, instruments, maps, time-series graphs, and more. Behavioral Analysis using data about people's behaviors to understand intent and predict future actions. Correlation Analysis determines a statistical relationship between variables, often for the purpose of identifying predictive factors among the variables. Exploratory Data Analysis identifies patterns in data, including outliers, uncovering the underlying structure to understand relationships between the variables. Pattern Recognition Analysis the classification or labeling of an identified pattern in the machine learning process. Social Media Analysis analyzed text flowing across the internet, including unstructured text from blogs and messages. Speech Analysis the process of analyzing recorded calls to gather information. Text Analysis analyzes unstructured data to find trends and patterns in words and sentences. Web Analysis analyzed unstructured data associated with websites to identify consumer behavior and website navigation. Algorithms mathematical formulas placed in software that preforms an analysis on a data set. Analytics the science of fast-paced decision making. Anomaly Detection the process of identifying rare or unexpected items or events in a data set that do not conform to other items in a data set. Outlier a data value that is numerically distant from most of the other data points in a set of data. Fast Data the application of big data analytics to smaller data sets in near-real or real-time in order to solve a problem or create business value. Data Scientist extracts knowledge from data by performing statistical analysis, data mining, and advanced analytics on big data to identify trends, market changes, and other relevant programs. Recommended textbook solutions Computer Organization and Design MIPS Edition: The Hardware/Software Interface5th EditionDavid A. Patterson, John L. Hennessy 220 solutions
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What is the process of organizing data into categories or groups for its most effective and efficient use?Classification analysis: is the process of organizing data into categories or groups for its most effective and efficient use.
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?Anomaly detection is the process of identifying unexpected items or events in data sets, which differ from the norm.
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.
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What is the process of sharing information to ensure consistency between multiple data sources?
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