Abstract Knowledge discovery for data streaming requires online feature selection to reduce
the complexity of real-world datasets and significantly improve the learning process. This is …

There is an increasing number of big data science projects aiming to create value for
organizations by improving decision making, streamlining costs or enhancing business …

Bookkeeping data free of fraud and errors are a cornerstone of legitimate business
operations. The highly complex and laborious work of financial auditors calls for finding new …

Data mining techniques have gained widespread adoption over the past decades,
particularly in the financial services domain. To achieve sustained benefits from these …

In recent years of technological advancements, the digitization of information has become a
crucial factor for the growth and sustainability of small and medium-sized enterprises …

Transformasi digital perubahan organisasi menjadi lebih efektif dan efisien di sebuah kota,
Transformasi digital di kota belum dikatakan siap, untuk mengetahui kesiapan perubahan …

Background Because of the growing involvement of communities from various disciplines,
data science is constantly evolving and gaining popularity. The growing interest in data …

In today's market where many companies are competing for the same opportunities, a quick,
accurate, and reliable estimation of the offers' prices is essential for the suppliers. This …

It is often a problem to combine domain knowledge and data science knowledge in
applications of industrial data analytics. Data scientists usually spend a lot of time to …

This paper describes a method and technology for processing natural language texts and
extracting data from the text that correspond to the semantics of an ontological model. The …