Over the decades, a tremendous increase has been witnessed in the production of
documents available in digital form. The increased production of documents has gained so …

From the beginning, the process of research and its publication is an ever-growing
phenomenon and with the emergence of web technologies, its growth rate is overwhelming …

Abstract Every year, around 28,100 journals publish 2.5 million research publications.
Search engines, digital libraries, and citation indexes are used extensively to search these …

Classifying scientific publications according to Field-of-Science (FoS) taxonomies is of
crucial importance, allowing funders, publishers, scholars, companies and other …

Wide use of internet generates huge data which needs proper organization leading to text
categorization. Earlier it was found that a document describes one category. Soon it was …

Scientific document classification is an important field of machine learning. Currently,
scientific document category identification is done manually. There are already defined …

Classification is used to predict class of unseen instance as accurate as possible. Multi label
classification is a variant of single label classification where set of labels associated with …

Multi-label classification methods are increasingly required by modern applications, such as
protein function classification, music categorization, and semantic scene classification. This …

Multi-label classification is an approach to classification prob-lems that allows each data
point to be assigned to more than one class at the same time. Real life machine learning …

Multi-label classification methods are increasingly required by modern applications, such as
protein function classification, music categorization, and semantic scene classification. This …