Principles of Information Systems, Loose-Leaf Version
13th Edition
ISBN: 9781305971820
Author: Ralph Stair, George Reynolds
Publisher: Course Technology
expand_more
expand_more
format_list_bulleted
Expert Solution & Answer
Chapter 9, Problem 8DQ
Explanation of Solution
CRISP-DM:
CRISP-DM is cross-industry process for data mining. It provides structured approach for planning the data mining project. It consists of six phase structure approach for planning and executing the data mining project. The six phases of CRISP-DM model are as follows:
- Business understanding
- Data understanding
- Data preparation
- Modeling
- Evaluation
- Deployment
Planning and executing the data mining effort:
Business understanding:
In this phase, first the business goals are planned and clarified for the data mining project. The planned goals are then converted into the predictive analysis problem. After the conversion process, the project plan is designed to accomplish the objectives.
Data understanding:
In this phase, the data is gathered from multiple sources...
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Describe in detail the steps that must be taken to choose the best ARMA model for forcasting time series data, discussing each step of the ARMA model selection process. What criteria will the best model need to satisfy?
Explain JAD and RAD; how do they stack up against other methods of data collection? Can you list some of the main advantages of using a team-based approach?
Compile a report summarising JAD and RAD. Give a scenario in which their application stands out from other data collection strategies. Please explain the benefits of using a team approach.
Chapter 9 Solutions
Principles of Information Systems, Loose-Leaf Version
Ch. 9.1 - Prob. 1RQCh. 9.1 - Prob. 2RQCh. 9.1 - Prob. 1CTQCh. 9.1 - Prob. 2CTQCh. 9.2 - Prob. 1RQCh. 9.2 - Prob. 2RQCh. 9 - Prob. 1SATCh. 9 - Prob. 2SATCh. 9 - Prob. 3SATCh. 9 - Prob. 4SAT
Ch. 9 - Prob. 5SATCh. 9 - A(n) _______________________ is a measure that...Ch. 9 - Prob. 7SATCh. 9 - Prob. 8SATCh. 9 - Prob. 9SATCh. 9 - Prob. 1RQCh. 9 - Prob. 2RQCh. 9 - Prob. 3RQCh. 9 - Prob. 4RQCh. 9 - Prob. 5RQCh. 9 - Prob. 6RQCh. 9 - Prob. 7RQCh. 9 - Prob. 8RQCh. 9 - Prob. 9RQCh. 9 - Prob. 10RQCh. 9 - Prob. 11RQCh. 9 - Prob. 12RQCh. 9 - Prob. 1DQCh. 9 - Prob. 2DQCh. 9 - Prob. 3DQCh. 9 - Prob. 4DQCh. 9 - Prob. 5DQCh. 9 - Prob. 7DQCh. 9 - Prob. 8DQCh. 9 - Prob. 9DQCh. 9 - Prob. 1PSECh. 9 - Prob. 3PSECh. 9 - Prob. 1TACh. 9 - Prob. 2TACh. 9 - Prob. 3WECh. 9 - Prob. 1CECh. 9 - Prob. 2CECh. 9 - Prob. 3CECh. 9 - Prob. 1CTQ1Ch. 9 - Prob. 2CTQ1Ch. 9 - Prob. 3CTQ1Ch. 9 - Prob. 1CTQ2Ch. 9 - Prob. 2CTQ2Ch. 9 - Prob. 3CTQ2
Knowledge Booster
Similar questions
- Describe the ETL (Extract, Transform, Load) process in the context of data warehousing. What are its main stages, and why is it crucial for data warehousing?arrow_forwardDefine the terms OLAP and OLTP, and explain how they differ in terms of data usage and system requirements.arrow_forwardIn no more than 150 words, please explain how data mining and warehousing are distinct from one another in terms of the applications they serve and the methods by which they are carried out.arrow_forward
- The dependence on discrete data silos presents difficulties and engenders concern for both the stakeholders involved and the manner in which they are impacted.arrow_forwardDescribe the process of data extraction in ETL (Extract, Transform, Load) and the techniques used to extract data from various source systems.arrow_forwardExplain the concept of drill-through and drill-down in OLAP analysis. Provide examples of when each is used in data exploration.arrow_forward
- Describe the methods for dealing with data risks.Explanation of how each technique may represent the performance is also required. What is an idle case, and why is it used in pipelining?arrow_forwardWhat are JAD and RAD, and how do they stack up against more traditional methods of data collection? Which advantages of team-based tactics stand out the most?arrow_forwardDescribe the ETL (Extract, Transform, Load) process in the context of data warehousing. What are the main challenges involved in this process?arrow_forward
- In not more than 150 words, distinguish between data mining and warehousing in terms of their application and implementation.arrow_forwardData mining analysts often choose EDA over hypotheses due to the incompatibility that exists between the two approaches.arrow_forwardHow, in no more than 150 words, can you distinguish between data mining and warehousing in terms of their various applications and the manner in which they are carried out? What are the key differences between the two?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Fundamentals of Information SystemsComputer ScienceISBN:9781337097536Author:Ralph Stair, George ReynoldsPublisher:Cengage LearningPrinciples of Information Systems (MindTap Course...Computer ScienceISBN:9781305971776Author:Ralph Stair, George ReynoldsPublisher:Cengage LearningManagement Of Information SecurityComputer ScienceISBN:9781337405713Author:WHITMAN, Michael.Publisher:Cengage Learning,
Fundamentals of Information Systems
Computer Science
ISBN:9781337097536
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Management Of Information Security
Computer Science
ISBN:9781337405713
Author:WHITMAN, Michael.
Publisher:Cengage Learning,