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 …

Across a wide variety of fields and especially for industrial companies, data are being
collected and accumulated at a dramatic pace from many different resources and services …

Nowadays there is a large amount of information at our disposal, which is increasing day by
day, and right now the question is not whether we have a method to process it, but which …

With the development of Internet techniques, data volumes are doubling every two years,
faster than predicted by Moore's Law. Big Data Analytics becomes particularly important for …

In recent years, precision agriculture that uses modern information and communication
technologies is becoming very popular. Raw and semi-processed agricultural data are …

Unsupervised machine learning can interpret logarithmic returns and conditional volatility in
commodity markets. This article applies machine learning in order to visualize and interpret …

Identifying similar mutual funds with respect to the underlying portfolios has found many
applications in financial services ranging from fund recommender systems, competitors …

The K-means algorithm, routinely used in many scientific fields, generates clustering
solutions that depend on the initial cluster coordinates. The number of solutions may be …

The analysis of intraday financial time series is the basis of constructing intraday trading
strategies which are usually less risky than overnight trading strategies. Correlations existed …

The introduction of modern information technologies for collecting and processing
agricultural data revolutionise the agriculture practices. The agricultural data mining today is …