The task of accurately predicting the target class for each case in the data is called
classification of data in data mining. Classification of balanced data set is fairly simple and …

Log messages are widely used in cloud servers and other systems. Millions of logs are
generated each day which makes them important for anomaly detection. However, they are …

The rise of deep learning applications in the fashion industry has fueled advances in
curating large-scale datasets to build applications for product design, image retrieval, and …

To realize the Internet of Things, one of the essential elements is wireless sensor networks
which can sense the physical conditions of the environment. The ubiquitous sensing is …

Centroid based clustering methods such as k-means, k-medoids and k-centers are heavily
applied as a go-to tool in exploratory data analysis. In many cases, those methods are used …

A classification for Turing machines is described. Quantitative descriptors for Turing machine
behavior are used for measuring repetitiveness, periodicity, complexity and entropy. These …

Log messages are one of the most valuable sources of information in the cloud and other
software systems. These logs can be used for audits and ensuring system security. Many …