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 (3)
Regression (1)
Clustering (0)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (3)
Mixed (0)

Data Type - Undo

Multivariate (3)
Univariate (1)
Sequential (0)
Time-Series (1)
Text (1)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (0)
Physical Sciences (2)
CS / Engineering (3)
Social Sciences (0)
Business (0)
Game (0)
Other (0)

# Attributes - Undo

Less than 10 (1)
10 to 100 (0)
Greater than 100 (3)

# Instances

Less than 100 (0)
100 to 1000 (2)
Greater than 1000 (1)

Format Type - Undo

Matrix (17)
Non-Matrix (3)

3 Data Sets

Table View  List View


1. Northix: Northix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases.

2. NoisyOffice: Corpus intended to do cleaning (or binarization) and enhancement of noisy grayscale printed text images using supervised learning methods. Noisy images and their corresponding ground truth provided.

3. Gas sensor arrays in open sampling settings: The dataset contains 18000 time-series recordings from a chemical detection platform at six different locations in a wind tunnel facility in response to ten high-priority chemical gaseous substances


Supported By:

 In Collaboration With:

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