This chapter presents a survey of the existing algorithms and tasks applied for tactile data
processing. The presented algorithms and tasks include machine learning, deep learning …

Big data is an emerging field with different datasets of various sizes are being analyzed for
potential applications. In parallel, many frameworks are being introduced where these …

Abstract Automatic Document Classification (ADC) has become the basis of many important
applications, eg, authorship identification, opinion mining, spam filtering, content organizers …

Automatic Document Classification (ADC) is the basis of many important applications such
as spam filtering and content organization. Naive Bayes (NB) approaches are a widely used …

Record linkage is a technique widely used to gather data stored in disparate data sources
that presumably pertain to the same real world entity. This integration can be done …

Today a large volume of structured and unstructured data is being generated online; the
main sources for big data are social media profiles, MOOC (massive open online courses) …

This article describes the study results of development methods and algorithms for
performance improvement in the big data analysis and training of machine learning models …

Naive-Bayes algorithm acts as a key baseline of massive text classification, which is widely
used in fields of detecting spam, online marketing and so on. Multicore processor is a …

Water torture attacks are a recently emerging type of Distributed Denial-of-Service (DDoS)
attack on Domain Name System (DNS) servers. They generate a multitude of malicious …

Text classification on large-scale real documents has become one of the most core
problems in text mining. For English and other languages many text classification works …