Rapid growth in technology and information lead the human to witness the improved growth
in velocity, volume of data, and variety. The data in the business organizations demonstrate …

Multi-label classification is one of the most dynamically growing fields of machine learning,
due to its numerous real-life applications in solving problems that can be described by …

Taxonomies are widely used by various business organizations for document classification
and organization. Business models built using taxonomies have the potential to reduce their …

Information from the web is a key resource exploited in the domain of competitive
intelligence. These sources represent important volumes of information to process everyday …

One of the main challenges in the domain of competitive intelligence is to harness important
volumes of information from the web, and extract the most valuable pieces of information. As …

This vision paper proposes an approach to use the most advanced word embeddings
techniques to bridge the gap between the discourses of experts and non-experts and more …

One of the biggest challenges in Big Data is to exploit value from large volumes of variable
and changing data. For this, one must focus on analyzing the data in these Big Data sources …

Extracting valuable data among large volumes of data is one of the main challenges in Big
Data. In this paper, a Hierarchical Multi-Label Classification process called Semantic HMC is …

Determining valuable data among large volumes of data is one of the main challenges in
Big Data. We aim to extract knowledge from these sources using a Hierarchical Multi-Label …

One of the biggest challenges in Big Data is the exploitation of Value from large volumes of
data that are constantly changing. To exploit value, one must focus on extracting knowledge …