EBK ESSENTIALS OF MIS,
13th Edition
ISBN: 8220106778494
Author: LAUDON
Publisher: PEARSON
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Chapter 6, Problem 3RQ
Explanation of Solution
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...
Explanation of Solution
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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Exercise
docID document text
docID document text
1
hot chocolate cocoa beans
7
sweet sugar
2345
9
cocoa ghana africa
8
sugar cane brazil
beans harvest ghana
9
sweet sugar beet
cocoa butter
butter truffles
sweet chocolate
10
sweet cake icing
11
cake black forest
Clustering by k-means, with preprocessing tokenization, term weighting TFIDF.
Manhattan Distance. Number of cluster is 2. Centroid docID 2 and docID 9.
Chapter 6 Solutions
EBK ESSENTIALS OF MIS,
Ch. 6.3 - Identify the problem in this case study. To what...Ch. 6.3 - Prob. 2CQ1Ch. 6.3 - Prob. 4CQ1Ch. 6.5 - Prob. 1CQ2Ch. 6.5 - What people, organization, and technology issues...Ch. 6.5 - Prob. 3CQ2Ch. 6.5 - Prob. 4CQ2Ch. 6 - Prob. 1IQCh. 6 - Prob. 2IQCh. 6 - Prob. 3IQ
Ch. 6 - Prob. 4IQCh. 6 - Prob. 1RQCh. 6 - Prob. 2RQCh. 6 - Prob. 3RQCh. 6 - Prob. 4RQCh. 6 - Prob. 5DQCh. 6 - Prob. 6DQCh. 6 - Prob. 7DQCh. 6 - Prob. 8HMPCh. 6 - Prob. 9HMPCh. 6 - Prob. 11HMPCh. 6 - Prob. 13CSQCh. 6 - Prob. 14CSQCh. 6 - Prob. 15CSQCh. 6 - Prob. 16CSQCh. 6 - Prob. 17MLMCh. 6 - Prob. 18MLM
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