Essentials of MIS (12th Edition)
Essentials of MIS (12th Edition)
12th Edition
ISBN: 9780134238241
Author: Kenneth C. Laudon, Jane P. Laudon
Publisher: PEARSON
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Chapter 6, Problem 3RQ

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Big Data:

  • Big data is enormously large sets that may be analyzed computationally to expose trends, association and patterns particularly relating to human interactions and behavior.
  • Big data challenges include data storage, search, transfer, data analysis, querying, sharing, information privacy, data source, querying, visualization and updating.
  • Due to the technology evolution happened in the last 50 years, big data came into fruition.
  • There was a transformation in the data landscape due to the revolutionary technological advances in software, hardware, storage, networking, and computing models which made new opportunities for data collection...

Explanation of Solution

Contemporary business intelligence infrastructure:

  • Business intelligence is used to describe about the data and software tools that is required for organizing, analyzing, and providing access to data, which can help a company to make better decisions...

Program Plan Intro

Online Analytical Processing:

  • OLAP (Online Analytical Processing) is a tool that provides multidimensional views of their data.
  • It uses the query and tool to provide the multidimensional view and uses the simple windows techniques to analyze the data

Explanation of Solution

Data Mining:

  • Data mining is a tool for analyzing the data.
  • It is used for analyzing the data from different views and shortened into the useful information.
  • In other words, it can be said data mining is a process that helps in finding patterns or correlations between multiple fields in severe relational databases.

Types of information obtained from data mining:

The different types of information provided by data mining are as follows.

  • Associations – It is defined as the occurrences which are connected to a single event.
  • Sequences – It is defined as the occurrences when events are connected over time.
  • Classifications – It is defined as the recognition of patterns and relationships which define the group to which an item belongs...

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Text mining and web mining differing from conventional mining:

  • Web mining is defined as the analysis of patterns and relationships from the World Wide Web.
  • Text mining is defined as the tool for analyzing data which may work by obtaining impor...

Explanation of Solution

Accessing information:

  • One of the ways by which the users can access information from a company’s internal databases through the web is by using web browser software on their PC.
  • The client can connect to the database and can request data. The requests are usually done by using HTML commands to communicate with the web server...

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The assignment here is to write an app using a database named CIT321 with a collection named students; we will provide a CSV file of the data. You need to use Vue.js to display 2 pages. You should know that this assignment is similar, all too similar in fact, to the cars4sale2 example in the lecture notes for Vue.js 2. You should study that program first. If you figure out cars4sale2, then program 6 will be extremely straightforward. It is not my intent do drop a ton of new material here in the last few days of class. The database contains 51 documents. The first rows of the CSV file look like this: sid last_name 1 Astaire first_name Humphrey CIT major hrs_attempted gpa_points 10 34 2 Bacall Katharine EET 40 128 3 Bergman Bette EET 42 97 4 Bogart Cary CIT 11 33 5 Brando James WEB 59 183 6 Cagney Marlon CIT 13 40 GPA is calculated as gpa_points divided by hrs_attempted. GPA points would have been arrived at by adding 4 points for each credit hour of A, 3 points for each credit hour of…
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