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 (31)
Regression (7)
Clustering (9)
Other (5)

Attribute Type

Categorical (0)
Numerical (5)
Mixed (0)

Data Type

Multivariate (8)
Univariate (1)
Sequential (0)
Time-Series (0)
Text (1)
Domain-Theory (1)
Other (0)

Area

Life Sciences (1)
Physical Sciences (0)
CS / Engineering (5)
Social Sciences (0)
Business (1)
Game (0)
Other (2)

# Attributes - Undo

Less than 10 (9)
10 to 100 (10)
Greater than 100 (4)

# Instances - Undo

Less than 100 (3)
100 to 1000 (9)
Greater than 1000 (14)

Format Type

Matrix (9)
Non-Matrix (0)

9 Data Sets

Table View  List View


1. Perfume Data: This data consists of odors of 20 different perfumes. Data was obtained by using a handheld odor meter (OMX-GR sensor) per second for 28 seconds period.

2. User Knowledge Modeling: It is the real dataset about the students' knowledge status about the subject of Electrical DC Machines. The dataset had been obtained from Ph.D. Thesis.

3. AAAI 2013 Accepted Papers: This data set compromises the metadata for the 2013 AAAI conference's accepted papers (main track only), including paper titles, abstracts, and keywords of varying granularity.

4. ICMLA 2014 Accepted Papers Data Set: This data set compromises the metadata for the 2014 ICMLA conference's accepted papers, including ID, paper titles, author's keywords, abstracts and sessions in which they were exposed.

5. Dishonest Internet users Dataset: The dataset was used to test an architecture based on a trust model capable to cope with the evaluation of the trustworthiness of users interacting in pervasive environments.

6. AAAI 2014 Accepted Papers: This data set compromises the metadata for the 2014 AAAI conference's accepted papers, including paper titles, authors, abstracts, and keywords of varying granularity.

7. BuddyMove Data Set: User interest information extracted from user reviews published in holidayiq.com about various types of point of interests in South India

8. seeds: Measurements of geometrical properties of kernels belonging to three different varieties of wheat. A soft X-ray technique and GRAINS package were used to construct all seven, real-valued attributes.

9. Wholesale customers: The data set refers to clients of a wholesale distributor. It includes the annual spending in monetary units (m.u.) on diverse product categories


Supported By:

 In Collaboration With:

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