Jaumin Ajdari

South East European University | SEEU · Faculty of Contemporary Sciences and Technologies

The digitalization of educational processes has enabled the generation of large datasets that can be used to improve processes in academic environments. One particular problem is the prediction of student performances based on historical data. Efficient student performance prediction can be used not only to prevent dropouts at an early stage, but i...

The objective of this study is to provide a systematic literature review related to text mining, clustering, and sentiment analysis by trying to find more appropriate technics, methods, algorithms, and procedures in this field with special emphasis on lower resource languages such as Albanian language. In this study, we have analyzed more than 170...

One of the most beneficial uses of the Internet of Things (IoT) and Cloud Computing in the digital era is the development of Smart Cities. The traditional urban system, which has been passed down since ancient times, operates in an inefficient and laborious manner, with information between systems not being efficiently transmitted and interconnecte...

The development of natural language processing resources for Albanian has grown steadily in recent years. This paper presents research conducted on unsupervised learning-the challenges associated with building a dictionary for the Albanian language and creating part-of-speech tagging models. The majority of languages have their own dictionary, but...

Now-a-days, social media and communications in social media have become very important for services providers and those play a key role in service quality improvement as well as in decision making. The services consumers’ discussions usually are written in their local languages and extracting important knowledge sometimes is very hard and problemat...

Digital Transformation is the process of using digital technologies that impacts and drives significant business and organization improvements and customers’ experience. Cloud Computing is one of key digital enablers of Digital Transformation of the products and processes. The main benefits of cloud services in empowering Digital Transformation are...

Web personalization is a process that utilizes a set of methods, techniques, and actions for adapting the linking structure of an information space or its content or both to user interaction preferences. The aim of personalization is to enhance the user experience by retrieving relevant resources and presenting them in a meaningful fashion. The adv...

In this paper, we describe the Machine Learning methods for Natural Language Processing tasks used in low-resource languages such as the Albanian language. The Albanian language belongs to the family of Indo-European languages. It can be inferred as being one of the oldest languages, consequently, different from the others. The aim of this paper is...

In the modern era of computing and countless of online services that gather and serve huge data around the world, processing and analyzing Big Data has rapidly developed into an area of its own. In this paper, we focus on the MapReduce programming model and associated implementation for processing and analyzing large datasets in a NoSQL database su...

The expansion and ever evolving web makes it difficult to find relevant information that best fits user's intentions. This paper introduces development of hybrid approach that addresses the issue of collecting large knowledgebase by fusing the thematic or focused crawling methodologies, with adaptive and semantic web concepts. Focused crawling ensu...

In today's growing of enterprise data, in order to make a full use of the capabilities of hardware, increasing application performance, reducing cost of ownership and enabling new scenarios that were not possible before such as are today's developed in-memory data platforms is essential. In this paper, an in-depth analysis of benefits and features...

The ultimate goal to improve healthcare practices and the development of better biomedical products largely depends on the ability to share and link the wealth of collected medical data. The key challenge to pursue this ambitious objective is not only enabling the integration of the data spanning heterogeneous data sources and formats, but in the d...

The service which enables us to use computing as a service across a product is known as cloud computing. Nowadays the cloud computing paradigm has been receiving significant excitement and attention in technological sphere. Cloud computing shares different resources and information between different devices which are located in different places alw...

Massive volumes of information shared on the web together with linked open data initiatives and exabytes of data generated through social networks frequently disorientates and confuses web users in their everyday interaction. Additionally, web users constitute a highly heterogeneous entities with different needs and requirements. Considering this,...

In recent years, a substantial shift from the web of documents to the paradigm of web of data is witnessed. This is seen from the proliferation of massive semantic repositories such as Linked Open Data. Recommending and adapting resources over these repositories however, still represents a research challenge in the sense of relevant data aggregatio...

Storage and file synchronisation is a common and important service provided by contemporary cloud providers and a new standard for file sharing and information storage among companies and individuals. However, choosing the right storage provider depends on many factors. This paper defines a set of important criteria to evaluate cloud storage provid...

Wavelet transform is an important mathematical tool with strong application in signal processing. From the mathematical point of view many different wavelet transforms are developed, where orthogonal wavelet transforms are more important. Also, various algorithms for their computations are developed. In this paper we present the parallel implementa...

Wavelet transformation, especially discrete wavelet transformation (DWT) is an important problem for many applications. This paper describes a parallel implementation of Daubechies wavelet transformation, with four filter coefficients. Both the theoretical and experimental analysis of parallel implementation in a cluster environment are also descri...

Wavelets transform, particularly the discrete wavelet transform (DWT) is an important problem for many applications. This paper describes the ID and 2D sequential and parallel implementation of the simplest wavelet transform, namely the Haar transform. We have described the mathematical theory of Haar transformation and algorithmic implementation o...

Wavelets transform, especially discrete wavelets transform (DWT) is an important tool for many applications. This paper describes one parallel implementation of simplest wavelet transform, namely Haar transform. A theoretical and experimental analysis of this parallel implementation in a cluster environment is also described. Implementation is base...