Which of the Following Best Describes Data Mining

In the following command which flag is responsible for saving output to both XML and HTML files. Must import data from transactional systems whenever significant changes occur in the transactional data.

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Which of the following best describes the process of data mining.

. ANSWER Correct It involves using a map or diagram that represents entities and their relationships. A identifying patterns in data. The DMRA application provides improved surveillance of the PCOLS program by analyzing data categorizing and.

Which of the following is an external resource or API that may be installed in Maltego to expand its capabilities. B deducing relationships in data. Which of the following best describes data mining.

All of the above 18 C. A condition where data contains fields of different. Get the answers you need now.

Which of the following statements best describes the purpose of the BIA. Unstructured data refers to information that is not organized in a pre-defined manner eg text-heavy facts dates numbers and images. The training data contain input-output pairs.

The correct answer is. YOU WERE SURE AND CORRECT It is a type of intelligence gathering that searches for patterns trends or rules that are hidden in the data so as to develop predictive models. Which of the following best describes the process of data mining.

Which one of the following statements defines data mining. The use of data to determine how the information was collected and formatted. Large-scale data sets that require advanced technologies.

Th e purpose of the BIA is to define a strategy that minimizes the effect of disturbances and to allow for the resumption of business processes. Increment processes 14 A. Data bank 17 D.

The benefit depends on what the company does with the Big Data. B Data mining is the process of creating intelligent databases. The training data match inputs to nodes in the network.

It reduces the complexity of the data to be analyzed. DData with a high level of organization. Electronic data interchange EDI.

73 Each of the following represents a characteristic of big data except A. A process of using algorithms that serve to facilitate efficient communication within a firm. It provides a better picture of victim characteristics given data mining.

Network economics 10 A. Data mining is best described as the process of. Which of the following statements best reflects the impact of cybercrime on crime statistics.

A condition in which a set of data contains unnecessarily. None of these choices are correct. A Data mining is the process of organizing data for database design.

What best describes the purpose of the Data Mining Risk Assessment application. The purpose of the BIA is to create a document that helps management understand the impact a disruptive event would have on the business. C Data mining is the process of analyzing data to gain insight or intelligence.

It is much easier to track than traditional offline crimes. A condition where data contains fields of different values b. The use of data to analyze trends and support strategic decisions.

Works on live transactional data to provide up to date and valid results. A system used to develop a firms performance metrics. Manny2775 manny2775 03092020 Computers and Technology High School answered Which of the following best describes data redundancy.

Takes regular copies of transaction data. A process of using statistical techniques to extract and analyze data from large databases to discern patterns and trends. Which of the following best describes semi-supervised learning.

Multiple Choice The training data contain some missing labels or incomplete data. Operational data has not been archived 8 A. Which of the following best describes data mining.

The process of querying databases for metadata. Total cost of ownership 16 A. All of the above 7 A.

Which of the following is true of data mining. It is likely underreported and may be replacing some offline crimes. The training data only include input values.

The information collected is converted from low-density data into high-density data not from high-density data to low-density data. Deducing relationship in data.

Data Mining Process Models Process Steps Challenges Involved

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