Clustering is a solution for classifying enormous data when there is not any early knowledge
about classes. With emerging new concepts like cloud computing and big data and their vast …

Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

In today's society, investment wealth management has become a mainstream of the
contemporary era. Investment wealth management refers to the use of funds by investors to …

Time series are widely used as signals in many classification/regression tasks. It is
ubiquitous that time series contains many missing values. Given multiple correlated time …

Interest in statistical analysis of remote sensing data to produce measurements of
environment, agriculture, and sustainable development is established and continues to …

Most clustering strategies have not changed considerably since their initial definition. The
common improvements are either related to the distance measure used to assess …

A proliferação de objetos inteligentes com capacidade de sensoriamento, processamento e
comunicação tem aumentado nos últimos anos. Neste cenário, a Internet das Coisas …

This paper presents a novel method for delineating urban functional areas based on
building-level social media data. Our method assumes that social media activities in …

Clustering algorithms have been successfully applied in analyzing building energy
consumption data. It has proven to be an effective technique to identify representative …

Time series are ubiquitous in data mining applications. Similar to other types of data,
annotations can be challenging to acquire, thus preventing from training time series …