Save
Upgrade to remove ads
Busy. Please wait.
Log in with Clever
or
show password
Forgot Password?
Don't have an account?  Sign up 
Sign up using Clever
or
Username is available taken
show password


Make sure to remember your password. If you forget it there is no way for StudyStack to send you a reset link. You would need to create a new account. Your email address is only used to allow you to reset your password. See our Privacy Policy and Terms of Service.

Already a StudyStack user? Log In

Reset Password
Enter the associated with your account, and we'll email you a link to reset your password.
focusNode
Didn't know it?
click below
 
Knew it?
click below
Don't Know
Remaining cards (0)
Know
0:00
edit
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.

  Normal Size     Small Size show me how

Stack #4410634

QuestionAnswer
A data warehouse architecture where metadata, summary data, and raw data are stored within the central repository of the warehouse.,SIMPLE
A data warehouse architecture where operational data must be cleaned and processed before being put in the warehouse.,SIMPLE WITH STAGING AREA
A data warehouse in Banking, Telecommunication, and Financial Services are examples of ________.,APPLICATIONS OF DATA WAREHOUSE
A specific type of database that represents data from multiple dimensions.,OLAP CUBE
The _____ table is a collection of reference information about a measurable in the fact table.,DIMENSION
The HOLAP system is a blend of _____ and MOLAP.,ROLAP
An OLAP system that is created to facilitate management of both spatial and non-spatial data in a Geographic Information System.,SOLAP
The type of OLAP system that works on the information that resides in a relational database.,ROLAP
An OLAP system that utilizes a multi-dimensional database for storing and analyzing information.,MOLAP
The full form of DOLAP acronym is ______ OLAP.,DESKTOP
OLAP is located in between Front-end tools and ___________.,DATA WAREHOUSE
ETL (Extract, Transform, Load) is an acronym for: __, ___, __.,EXTRACT, TRANSFORM, LOAD
The ETL tool transforms data in the staging area before EDW.,TRUE
ETL loading type that applies ongoing changes as when needed periodically.,INCREMENTAL LOAD
An ETL loading type that populates all the data warehouse tables.,INITIAL LOAD
An ETL loading type that erases the contents of one or more tables and reloads with fresh data.,FULL REFRESH LOAD
This strategy is also known as delta, where only the data being changed is extracted and updates data warehouses.,PARTIAL EXTRACTION (WITH UPDATE NOTIFICATION)
An OLAP operation that performs the analysis by taking one level of information for display.,SLICE
An OLAP operation that performs analysis in deeper dimensions of data.,DRILL-DOWN
An OLAP operation that is also known as consolidation, used to summarize operational data along with the dimension.,DRILL-UP
The ____ operation performs the analysis that can gain a new view of data by rotating the data axes of the cube.,PIVOT
Data Mining & Machine Learning: The ______ is about processing data and identifying patterns and trends in that information so that you can decide or judge.,DATA MINING
A DM algorithm that constructs a classifier in the form of a decision tree.,C4.5
A DM algorithm that does not require a predefined set of outputs but rather looks for patterns or trends without any label or target.,UNSUPERVISED LEARNING
A DM algorithm that requires a label or target.,SUPERVISED LEARNING
A DM algorithm that has an assumption: Every feature of the data being classified is independent of all other features given the class.,NAÏVE BAYES
A data mining technique that is used to determine when something is noticeably different from the regular pattern.,ANOMALY DETECTION
A data mining technique that is used to make predictions based on relationships within the dataset.,REGRESSION
A type of data mining algorithm that is used to mine data and provide the latest information on past or recent events.,DESCRIPTIVE ANALYSIS
Data mining is applied in _______ websites to offer cross-sells and up-sells through their websites.,E-COMMERCE
KDD stands for:,KNOWLEDGE DISCOVERY IN DATABASES
Machine Learning & Classification: Artificial Intelligence refers to the algorithms that can learn from data to make predictions.,FALSE (MACHINE LEARNING)
Machine Learning refers to the algorithms that can learn from data to make predictions.,TRUE
Classification technique is a supervised learning.,TRUE
Classification technique is an unsupervised learning.,FALSE
Classification technique is a(n) _______ learning.,SUPERVISED
Decision Tree is an example of an association algorithm.,FALSE
Decision Tree is an example of a classification algorithm.,TRUE
Decision Tree is an example of a(n) _______ algorithm.,CLASSIFICATION
Clustering technique is a supervised learning.,FALSE
Clustering technique is an unsupervised learning.,TRUE
Clustering technique is a(n) _______ learning.,UNSUPERVISED
CRISP-DM (Cross-Industry Standard Process for Data Mining): What is the 4th step in CRISP-DM?,MODELING
The CRISP-DM phase that sets the initial data collection and proceeds with activities in order to get familiar with the data.,DATA UNDERSTANDING
The phase of CRISP-DM that consists of presenting the results in a useful and understandable manner, and by achieving this, the project should achieve its goals.,DEPLOYMENT
The EVALUATION phase of CRISP-DM that consists of presenting the results in a useful and understandable manner, and by achieving this, the project should achieve its goals.,FALSE (DEPLOYMENT)
The DEPLOYMENT phase of CRISP-DM that consists of presenting the results in a useful and understandable manner, and by achieving this, the project should achieve its goals.,TRUE
Unsupervised learning is a predictive analysis.,FALSE (DESCRIPTIVE ANALYSIS)
The predictive analysis provides answers to future queries that move across using historical data as the chief principle for decisions.,TRUE
The descriptive analysis provides answers to future queries that move across using historical data as the chief principle for decisions.,FALSE (PREDICTIVE ANALYSIS)
The _____ analysis provides answers to future queries that move across using historical data as the chief principle for decisions.,PREDICTIVE
It refers to the numeric study of data relationships.,STATISTICS
In the 9-step KDD process, choosing a data mining task is the same as choosing a data mining algorithm.,FALSE
The Naïve Bayes algorithm is a _______ data mining.,CLASSIFICATION
Created by: user-1925923
 

 



Voices

Use these flashcards to help memorize information. Look at the large card and try to recall what is on the other side. Then click the card to flip it. If you knew the answer, click the green Know box. Otherwise, click the red Don't know box.

When you've placed seven or more cards in the Don't know box, click "retry" to try those cards again.

If you've accidentally put the card in the wrong box, just click on the card to take it out of the box.

You can also use your keyboard to move the cards as follows:

If you are logged in to your account, this website will remember which cards you know and don't know so that they are in the same box the next time you log in.

When you need a break, try one of the other activities listed below the flashcards like Matching, Snowman, or Hungry Bug. Although it may feel like you're playing a game, your brain is still making more connections with the information to help you out.

To see how well you know the information, try the Quiz or Test activity.

Pass complete!
"Know" box contains:
Time elapsed:
Retries:
restart all cards