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

Classification (3)
Regression (2)
Clustering (3)
Other (1)

Attribute Type - Undo

Categorical (2)
Numerical (6)
Mixed (2)

Data Type - Undo

Multivariate (6)
Univariate (1)
Sequential (5)
Time-Series (6)
Text (1)
Domain-Theory (2)
Other (0)


Life Sciences (0)
Physical Sciences (1)
CS / Engineering (5)
Social Sciences (0)
Business (0)
Game (0)
Other (0)

# Attributes - Undo

Less than 10 (6)
10 to 100 (16)
Greater than 100 (6)

# Instances

Less than 100 (1)
100 to 1000 (2)
Greater than 1000 (3)

Format Type - Undo

Matrix (28)
Non-Matrix (6)

6 Data Sets

Table View  List View

1. Indoor User Movement Prediction from RSS data: This dataset contains temporal data from a Wireless Sensor Network deployed in real-world office environments. The task is intended as real-life benchmark in the area of Ambient Assisted Living.

2. ser Knowledge Modeling Data (Students' Knowledge Levels on DC Electrical Machines): The dataset is about the users' learning activities and knowledge levels on subjects of DC Electrical Machines. The dataset had been obtained from online web-courses and reported in my Ph.D. Thesis.

3. EMG dataset in Lower Limb: 3 different exercises: sitting, standing and walking in the muscles: biceps femoris, vastus medialis, rectus femoris and semitendinosus addition to goniometry in the exercises.

4. Improved Spiral Test Using Digitized Graphics Tablet for Monitoring Parkinson’s Disease: Handwriting database consists of 25 PWP(People with Parkinson) and 15 healthy individuals.Three types of recordings (Static Spiral Test, Dynamic Spiral Test and Stability Test) are taken.

5. 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.

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.

Supported By:

 In Collaboration With:

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