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Data security has become an issue of increasing importance, especially for Web applications and distributed databases. One solution is using cryptographic algorithms whose improvement has become a constant concern. The increasing complexity of these algorithms involves higher execution times, leading to an application performance decrease. This paper presents a comparison of execution times for three...
Topic Modeling is a type of statistical model that tries to determine the topics present in a corpus of documents. The accuracy measures applied to clustering algorithm can also be used to assess the accuracy of topic modeling algorithms because determining topics for documents is similar with clustering them. This paper presents an experimental validation regarding the accuracy of Latent Dirichlet...
Automatic language identification is a natural language processing problem that tries to determine the natural language of a given content. In this paper we present a statistical method for automatic language identification of written text using dictionaries containing stop words and diacritics. We propose different approaches that combine the two dictionaries to accurately determine the language...
NoSQL databases are becoming increasingly popular as more developers seek new ways for storing information. The popularity of these databases has risen due to their flexibility and scalability needed in domains like Big Data and Cloud Computing. This paper examines asynchronous replication, one of the key features for a scalable and flexible system. Three of the most popular Document-Oriented Databases,...
This paper presents differences between an SQL database management system - Oracle Database and No SQL document oriented database management system - Mongo DB. Comparison criteria includes theoretical differences, features, restrictions, integrity, distribution, system requirements, architecture, query and insertion times.
Metadata integration and use represents an open problem due to the rapid expansion of data resources in a nonstandard compliant environment. The increasing need to access and retrieve relevant data based on semantic similarity from distributed, autonomous and heterogeneous sources demands innovative solutions that can offer an integrated global view over various local schemas. The framework proposed...
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