Browse Through:

Default Task - Undo

Classification (4)
Regression (0)
Clustering (1)
Other (0)

Attribute Type

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

Data Type - Undo

Multivariate (12)
Univariate (1)
Sequential (0)
Time-Series (4)
Text (2)
Domain-Theory (1)
Other (0)

Area - Undo

Life Sciences (0)
Physical Sciences (0)
CS / Engineering (4)
Social Sciences (0)
Business (0)
Game (0)
Other (0)

# Attributes - Undo

Less than 10 (1)
10 to 100 (1)
Greater than 100 (4)

# Instances

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (3)

Format Type - Undo

Matrix (4)
Non-Matrix (0)

4 Data Sets

Table View  List View

1. OPPORTUNITY Activity Recognition: The OPPORTUNITY Dataset for Human Activity Recognition from Wearable, Object, and Ambient Sensors is a dataset devised to benchmark human activity recognition algorithms (classification, automatic data segmentation, sensor fusion, feature extraction, etc).

2. Human Activity Recognition Using Smartphones: Human Activity Recognition database built from the recordings of 30 subjects performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors.

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.

4. URL Reputation: Anonymized 120-day subset of the ICML-09 URL data containing 2.4 million examples and 3.2 million features.