Big Data (BD) has shifted the paradigm of conventional data analysis with the exploitation of
emerging technologies. Analysis using BD contributes to foreseeing and pulling out value …

Data mining is used for finding meaningful information out of a vast expanse of data. With
the advent of Big Data concept, data mining has come to much more prominence …

The prevalence of e-learning systems and on-line courses has made educational material
widely accessible to students of varying abilities and backgrounds. There is thus a growing …

The growing prevalence of e-learning systems and on-line courses has made educational
material widely accessible to students of varying abilities, backgrounds and styles. There is …

In the USA, rare diseases are defined as those affecting fewer than 200,000 patients at any
given time. Patients with rare diseases are frequently misdiagnosed or undiagnosed which …

Collaborative Filtering (CF) algorithms are most commonly used prediction technique in field
of Recommender Systems (RS) for Information Filtering. It makes use of single criteria …

As an emerging trend in big data science, applications based on the Quantified-Self (QS)
engage individuals in the self-tracking of any kind of biological, physical, behavioral, or …

Collaborative filtering merupakan salah satu dari teknik di dalam Recommender System
yang paling sering digunakan saat ini karena kehandalannya. Recomender system banyak …

Nowadays, personalized recommendations are widely used and popular. There are a lot of
systems in various fields, which use recommendations for different purposes. One of the …

The main challenges for recommender systems are: producing high quality
recommendations and performing many real-time recommendations per second for millions …