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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

20 Questions5 MinutesCreated by MiningGuru42

is a collection of datasets that are large and complex in nature.

Data Set

Big data

Database

5 characteristics of big data

Volume

Value

Velocity

Veracity

Variety

Ventilation

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

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