The importance of data science and big data analytics is growing very fast as organizations
are gearing up to leverage their information assets to gain competitive advantage. The …

The paper presents the Jbowl, Java software library for data and text analysis, and various
research activities performed and implemented on top of the library. The paper describes the …

One of the conceptual methods in data mining area is based on the onesided concept
lattices, which belongs to approaches known as Formal ConceptAnalysis (FCA). It provides …

The analysis of a large number of multidimensional surface water monitoring data for
extracting potential information plays an important role in water quality management. In this …

Presented paper focuses on the area of analysis and classification of textual documents. We
present the classification of documents based on boosting method applied on the decision …

With the explosion of social media, the Web, Internet of Things, and the proliferation of smart
devices, large amounts of data are being generated each day. However, traditional data …

The presented paper describes the design and implementation of distributed k-means
clustering algorithm for text documents analysis. Motivation for the research effort presented …

There are quintillions of data on deoxyribonucleic acid (DNA) and protein in publicly
accessible data banks, and that number is expanding at an exponential rate. Many scientific …

Distributed computing technologies allow a wide variety of tasks that use large amounts of
data to be solved. Various paradigms and technologies are already widely used, but many …

Near duplicate detection algorithms have been proposed and implemented in order to
detect and eliminate duplicate entries from massive datasets. Due to the differences in data …