The continuing success of the Internet has greatly increased the number of text documents
in electronic formats. The techniques for grou** these documents into meaningful …

Clustering is a branch of data mining which involves grou** similar data in a collection
known as cluster. Clustering can be used in many fields, one of the important applications is …

With the emergence of the metaverse, the popularity of augmented reality (AR) is increasing;
accessing concise, accurate, and precise information in this field is becoming challenging …

The goal of this research is develo** a multimrdia based mobile application, specially a
mathematics mobile game for elementary school. This learning model should encourage …

Population density in Indonesia is ranked fourth in the world. The impact of a large
population will affect the level of welfare of the community to decrease, and the number of …

With the development of deep learning techniques, text mining is producing breakthrough
performance improvements, promising future applications, and practical use cases across …

In this work, an approach to the automatic detection of dependencies in NL requirements is
presented. The approach is based on an ontology containing knowledge defining …

The accuracy of trace links can be improved by using ontology-based dynamic requirements
traceability method, but it is a complicated and tedious process to establish a reasonable …

Class-label classification is an important machine learning task where in one assigns a
subset of candidate without label to an object. In this paper, we propose a new document …

Document Clustering is an important tool for many Information Retrieval (IR) tasks.
Document clustering is particularly useful in many applications such as automatic …