23 datasets found

The dataset used in the paper is a collection of 50 classification data sets downloaded from the UCI Machine Learning Repository.

PMING Distance is a measure of proximity, which conveys information on relationships between two terms, e.g. word or expressions, carrying semantic meaning, used on various...

A dataset for using Twitter to generate alerts for cybersecurity threats and vulnerabilities.

A dataset for deep learning approach for enhanced cyber threat indicators in Twitter stream.

A labelled dataset of tweets from Behzadan et al [3].

The dataset used in this paper is the Breast Cancer Wisconsin (Diagnostic) and the Landsat Satellite Data Sets from the UCI repository.

The dataset used in this paper is a binary dataset, where each data vector is a binary vector of length D.

The dataset is used to test the weight-balanced k-means algorithm for weighted point sets and prescribed lower and upper bounds on the cluster sizes.

DBLP co-authorship network

Congressmen co-sponsorship networks

Amazon co-purchases, Congressional bill sponsorships and DBLP co-authorships

The bike sharing dataset is an hourly time series data for bike rentals in the Capital Bikeshare system between years 2011 and 2012.

The dataset used in this paper is a high-dimensional dataset with a sparse linear isotonic model (SLIM).

The dataset contains real estate classifieds from three different websites that post real estate classifieds in United Arab Emirates.

The shuttle dataset is used for anomaly clustering and visualization. It contains 9 numerical attributes and 7 classes.

The dataset used in the paper is a binary classification task in a 300-dimensional space. The procedure for generating the training dataset is as follows: Each label y ∈ {−1, 1}...

The dataset is used to evaluate the performance of clustering algorithms.

The dataset used in this paper for on-shelf utility mining.

The dataset used in this paper for on-shelf utility mining.

The dataset used in this paper for on-shelf utility mining.