Category Archives: Databases

Relational databases
Structured Storage
Data mining

Management and Manipulation of Knowledge in Automated Learning Systems

Ventzislav Nikolov, Stephan Filipov, Ivan Gospodinov

Abstract: The subject of this paper is the use of production systems for presentation and manipulation of knowledge with constant and variable structure in automated educational systems. A TOMt approach for construction of production rules is proposed. The non-excess and non-contradiction of the mles are studied. An algorithm for construction of correctly built system of production of knowledge of variable structure of the type <condition -> recommendation> is created. Relation tables are used as structures reflecting the facts of the subject learning domain, whereas a dynamic tree structure /graph/ is built for describing the semantics of the subject domain. The mechanism that governs the learning process is based on the production systems.

Keywords: relational databases, dynamic trees, production rules, production systems, software engineering, knowledge engineering

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Sensor Data Processing — Key Factors for Choosing File Formats in HADOOP

Stefan Stoyanov

Abstract: Nowadays, in some areas, data growth has reached the point where a single relational database is not enough. This big data phenomenon has first time appeared in areas like meteorology, sensor data analytics, Internet search, biological research, genomics, finance, and many more. The effective use of distributed resources in clusters or data warehouses depends on the selection of appropriate data format and best algorithms. The subject of this research is a methodology and approaches for optimal use of the resources of a distributed system for processing Big Data from sensor measurements.

Key words: Big Data, Hadoop, HDFS, Sensor Fusion

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