Data Mining
Test Your Data Mining Knowledge!
Are you ready to put your understanding of data mining to the test? This engaging quiz covers a range of topics, including big data characteristics, data mining techniques, and applications in various fields. Perfect for students, professionals, and enthusiasts alike!
- 20 challenging questions
- Multiple choice and checkbox formats
- Score tracking for your progress
is a collection of datasets that are large and complex in nature.
Data Set
Big data
Database
6 Big Data: Application Areas
Bank & insurance
Health & research
Retail
Telco
Automotive Production
Energy & utilities
Mechanics
Geometry
A powerful tool from Arizona State University that can help you track, analyze, and understand activity on Twitter.
Tweet Tracker
Tweet Reader
Tweet Reporter
Refers to the activity of going through big data sets to look for relevant or pertinent information.
Data Mining
Query
Survey
is the practice of sifting through a large dataset in search of previously unrecognized patterns.
Data Mining
Query
Survey
Infer a function or relationship based on labeled training data and uses this function to map new unlabeled data
Supervised
Unsupervised
Uncovers hidden patterns in unlabeled data
Supervised
Unsupervised
Given a set of items that have several classes, and given the past instances (training instances) with their associated class
Classification
Reggresion
Clustering
The process of predicting the class of a new item.
Classification
Clustering
Regression
The goal is to organize and categorize data in distinct classes
Classification
Clustering
Regression
Deals with the prediction of a value, rather than a class
Classification
Regression
Clustering
Find groups of items that are similar. It divides a data set so that records with similar content are in the same group, and groups are as different as possible from each other.
Classification
Clustering
Regression
� The process of identifying the natural groupings in the dataset – association analysis
Clustering
Classification
Regression
An association algorithm creates rules that describe how often events have occurred together.
Association Rules
Anomaly
Outlier Detection
Identifies the data points that are significantly different from other data points in the dataset.
Anomaly
Outlier Detection
Association Rules
Can be either a special use of regression modeling where models predict the future value of a variable based on the past value of the same variable
Time series forecasting
Outlier Detection
Association Rules
Represent a document by a term vector
Vector Space Model
Graph
Vector Sheet Model
Automatically group related documents based on their contents
Document Clustering
Document Classification
Text Categorization
Automatic classification for the large number of on-line text documents (Web pages, e-mails, corporate intranets, etc.)
Text Classification
Document Clustering
Document Clustering
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