The era of huge data is snowballing at frequent swiftness in size (volume) and in different
formats (variety). This data which comes from various sources eg media, communication …

With the beginning of new era data has grown rapidly not only in size but also in variety.
There is a difficulty in analyzing such big data. Data mining is the technique in which useful …

The healthcare industry has witnessed a huge evolution in producing enormous amount of
medical data that gave birth to the research in multiple fields. Efforts were done and are …

Clustering streaming data is gaining importance as automatic data acquisition technologies
are deployed in diverse applications. We propose a fully incremental projected divisive …

Agent is one of very important assets for distributors. A better knowledge of the agents and
their behavior is required, particularly to support decisions related to the company's …

According to the bitrate, volume and variety of data in new era, there are problems such as
analysis of Big data. By using data mining methods many useful information and hidden …

The era of huge data is snowballing at frequent swiftness in size (volume) and in different
formats (variety). This data which comes from various sources eg media, communication …

DenStream is a data stream clustering algorithm which has been widely studied due to its
ability to find clusters with arbitrary shapes and dealing with noisy objects. In this paper, we …

Agent is one of very important assets for distributors. A better knowledge of the agents and
their behavior is required, particularly to support decisions related to the company's …

This thesis focuses on data projection methods for the purposes of clustering and semi-
supervised classification, with a primary focus on clustering. A number of contributions are …