Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Browse Through:

Default Task - Undo

Classification (20)
Regression (9)
Clustering (7)
Other (0)

Attribute Type

Categorical (0)
Numerical (8)
Mixed (0)

Data Type - Undo

Multivariate (15)
Univariate (0)
Sequential (0)
Time-Series (9)
Text (0)
Domain-Theory (3)
Other (0)

Area

Life Sciences (0)
Physical Sciences (1)
CS / Engineering (7)
Social Sciences (0)
Business (1)
Game (0)
Other (0)

# Attributes - Undo

Less than 10 (5)
10 to 100 (16)
Greater than 100 (9)

# Instances

Less than 100 (1)
100 to 1000 (3)
Greater than 1000 (5)

Format Type

Matrix (6)
Non-Matrix (3)

9 Data Sets

Table View  List View


1. Amazon Access Samples: Amazon's InfoSec is getting smarter about the way Access data is leveraged. This is an anonymized sample of access provisioned within the company.

2. Condition monitoring of hydraulic systems: The data set addresses the condition assessment of a hydraulic test rig based on multi sensor data. Four fault types are superimposed with several severity grades impeding selective quantification.

3. Dynamic Features of VirusShare Executables: This dataset contains the dynamic features of 107,888 executables, collected by VirusShare from Nov/2010 to Jul/2014.

4. ElectricityLoadDiagrams20112014: This data set contains electricity consumption of 370 points/clients.

5. Gas Sensor Array Drift Dataset at Different Concentrations: This archive contains 13910 measurements from 16 chemical sensors exposed to 6 different gases at various concentration levels.

6. Gas sensor array exposed to turbulent gas mixtures: A chemical detection platform composed of 8 chemoresistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The acquired time series of the sensors are provided.

7. Gas sensor array under flow modulation: The data set contains 58 time series acquired from 16 chemical sensors under gas flow modulation conditions. The sensors were exposed to different gaseous binary mixtures of acetone and ethanol.

8. Greenhouse Gas Observing Network: Design an observing network to monitor emissions of a greenhouse gas (GHG) in California given time series of synthetic observations and tracers from weather model simulations.

9. Twin gas sensor arrays: 5 replicates of an 8-MOX gas sensor array were exposed to different gas conditions (4 volatiles at 10 concentration levels each).


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML