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 (0)
Sequential (0)
Time-Series (2)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (3)
Physical Sciences (1)
CS / Engineering (3)
Social Sciences (0)
Business (0)
Game (0)
Other (0)

# Attributes - Undo

Less than 10 (2)
10 to 100 (3)
Greater than 100 (3)

# Instances - Undo

Less than 100 (1)
100 to 1000 (3)
Greater than 1000 (14)

Format Type - Undo

Matrix (3)
Non-Matrix (2)

3 Data Sets

Table View  List View


1. Detect Malacious Executable(AntiVirus): I extract features from malacious and non-malacious and create and training dataset to teach svm classifier.Dataset made of unknown executable to detect if it is virus or normal safe executable.

2. 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.

3. PEMS-SF: 15 months worth of daily data (440 daily records) that describes the occupancy rate, between 0 and 1, of different car lanes of the San Francisco bay area freeways across time.


Supported By:

 In Collaboration With:

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