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 (25)
Regression (13)
Clustering (10)
Other (7)

Attribute Type

Categorical (0)
Numerical (9)
Mixed (0)

Data Type - Undo

Multivariate (17)
Univariate (3)
Sequential (9)
Time-Series (10)
Text (6)
Domain-Theory (2)
Other (0)

Area

Life Sciences (0)
Physical Sciences (1)
CS / Engineering (8)
Social Sciences (0)
Business (0)
Game (0)
Other (1)

# Attributes

Less than 10 (5)
10 to 100 (2)
Greater than 100 (1)

# Instances

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (8)

Format Type - Undo

Matrix (24)
Non-Matrix (10)

10 Data Sets

Table View  List View


1. 3W dataset: The first realistic and public dataset with rare undesirable real events in oil wells.

2. Activities of Daily Living (ADLs) Recognition Using Binary Sensors: This dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes.

3. BitcoinHeistRansomwareAddressDataset: BitcoinHeist datasets contains address features on the heterogeneous Bitcoin network to identify ransomware payments.

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

5. Geo-Magnetic field and WLAN dataset for indoor localisation from wristband and smartphone: A multisource and multivariate dataset for indoor localisation methods based on WLAN and Geo-Magnetic field fingerprinting

6. Individual household electric power consumption: Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.

7. Parking Birmingham: Data collected from car parks in Birmingham that are operated by NCP from Birmingham City Council. UK Open Government Licence (OGL). https://data.birmingham.gov.uk/dataset/birmingham-parking

8. selfBACK: The SELFBACK dataset is a Human Activity Recognition Dataset of 9 activity classes recorded with two tri-axial accelerometers.

9. Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015: An accurate dataset describing trajectories performed by all the 442 taxis running in the city of Porto, in Portugal.

10. User Identification From Walking Activity: The dataset collects data from an Android smartphone positioned in the chest pocket from 22 participants walking in the wild over a predefined path.


Supported By:

 In Collaboration With:

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