
Essentials of MIS (12th Edition)
12th Edition
ISBN: 9780134238241
Author: Kenneth C. Laudon, Jane P. Laudon
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Expert Solution & Answer
Chapter 6, Problem 17MLM
Explanation of Solution
Web Mining:
- Web is an unstructured data source that reveals patterns, trends and insights of customer behavior.
- Data warehouse is an integrated collection of data from more than one source to form a centralized repository.
- It possesses all the information needed by the organization and is used for analyzing the data and reporting the data to support decision makers in an organization.
- The managers in an organization use a technique called data exploration and analysis, which attempts to find out the unidentified patterns called as data mining.
- Data mining is a traditional knowledge discovery process used to summarize useful information after analyzing the information in different views.
- Web mining is similar to data mining where the information is gathered from internet.
- To get the required data, web mining uses a tool called web crawler which is an automated program that places the gathered data into the
database ...
Expert Solution & Answer

Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
I need help to solve the following case, thank you
hi I would like to get help to resolve the following case
Could you help me to know features of the following concepts:
- defragmenting.
- dynamic disk.
- hardware RAID
Chapter 6 Solutions
Essentials of MIS (12th Edition)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- what is a feature in the Windows Server Security Compliance Toolkit, thank you.arrow_forwardYou will write a program that allows the user to keep track of college locations and details about each location. To begin you will create a College python class that keeps track of the csollege's unique id number, name, address, phone number, maximum students, and average tuition cost. Once you have built the College class, you will write a program that stores College objects in a dictionary while using the College's unique id number as the key. The program should display a menu in this order that lets the user: 1) Add a new College 2) Look up a College 4) Delete an existing College 5) Change an existing College's name, address, phone number, maximum guests, and average tuition cost. 6) Exit the programarrow_forwardShow all the workarrow_forward
- Show all the workarrow_forward[5 marks] Give a recursive definition for the language anb2n where n = 1, 2, 3, ... over the alphabet Ó={a, b}. 2) [12 marks] Consider the following languages over the alphabet ={a ,b}, (i) The language of all words that begin and end an a (ii) The language where every a in a word is immediately followed by at least one b. (a) Express each as a Regular Expression (b) Draw an FA for each language (c) For Language (i), draw a TG using at most 3 states (d) For Language (ii), construct a CFG.arrow_forwardQuestion 1 Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule. Question 2 Construct a frequency polygon density estimate for the sample in Question 1, using bin width determined by Sturges’ Rule.arrow_forward
- Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule.arrow_forwardCan I get help with this case please, thank youarrow_forwardI need help to solve the following, thank youarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Principles of Information Systems (MindTap Course...Computer ScienceISBN:9781305971776Author:Ralph Stair, George ReynoldsPublisher:Cengage LearningFundamentals of Information SystemsComputer ScienceISBN:9781337097536Author:Ralph Stair, George ReynoldsPublisher:Cengage LearningEnhanced Discovering Computers 2017 (Shelly Cashm...Computer ScienceISBN:9781305657458Author:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. CampbellPublisher:Cengage Learning
- Principles of Information Systems (MindTap Course...Computer ScienceISBN:9781285867168Author:Ralph Stair, George ReynoldsPublisher:Cengage LearningDatabase Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781305627482Author:Carlos Coronel, Steven MorrisPublisher:Cengage Learning

Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning

Fundamentals of Information Systems
Computer Science
ISBN:9781337097536
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning

Enhanced Discovering Computers 2017 (Shelly Cashm...
Computer Science
ISBN:9781305657458
Author:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell
Publisher:Cengage Learning

Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781285867168
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning

Database Systems: Design, Implementation, & Manag...
Computer Science
ISBN:9781305627482
Author:Carlos Coronel, Steven Morris
Publisher:Cengage Learning