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1.
K-vertex: a novel model for the cardinality constraints enforcement in graph databases : doctoral dissertation
Martina Šestak, 2022, doktorska disertacija

Opis: The increasing number of network-shaped domains calls for the use of graph database technology, where there are continuous efforts to develop mechanisms to address domain challenges. Relationships as 'first-class citizens' in graph databases can play an important role in studying the structural and behavioural characteristics of the domain. In this dissertation, we focus on studying the cardinality constraints mechanism, which also exploits the edges of the underlying property graph. The results of our literature review indicate an obvious research gap when it comes to concepts and approaches for specifying and representing complex cardinality constraints for graph databases validated in practice. To address this gap, we present a novel and comprehensive approach called the k-vertex cardinality constraints model for enforcing higher-order cardinality constraints rules on edges, which capture domain-related business rules of varying complexity. In our formal k-vertex cardinality constraint concept definition, we go beyond simple patterns formed between two nodes and employ more complex structures such as hypernodes, which consist of nodes connected by edges. We formally introduce the concept of k-vertex cardinality constraints and their properties as well as the property graph-based model used for their representation. Our k-vertex model includes the k-vertex cardinality constraint specification by following a pre-defined syntax followed by a visual representation through a property graph-based data model and a set of algorithms for the implementation of basic operations relevant for working with k-vertex cardinality constraints. In the practical part of the dissertation, we evaluate the applicability of the k-vertex model on use cases by carrying two separate case studies where we present how the model can be implemented on fraud detection and data classification use cases. We build a set of relevant k-vertex cardinality constraints based on real data and explain how each step of our approach is to be done. The results obtained from the case studies prove that the k-vertex model is entirely suitable to represent complex business rules as cardinality constraints and can be used to enforce these cardinality constraints in real-world business scenarios. Next, we analyze the performance efficiency of our model on inserting new edges into graph databases with varying number of edges and outgoing node degree and compare it against the case when there is no cardinality constraints checking. The results of the statistical analysis confirm a stable performance of the k-vertex model on varying datasets when compared against a case with no cardinality constraints checking. The k-vertex model shows no significant performance effect on property graphs with varying complexity and it is able to serve as a cardinality constraints enforcement mechanism without large effects on the database performance.
Ključne besede: Graph database, K-vertex cardinality constraint, Cardinality, Business rule, Property graph data model, Property graph schema, Hypernode, Performance analysis, Fraud detection, Data classification
Objavljeno v DKUM: 10.08.2022; Ogledov: 620; Prenosov: 72
.pdf Celotno besedilo (3,43 MB)

2.
The influence of one's own database on the accuracy of forecasting future movements of investment portfolio value
Vesna Trančar, 2017, izvirni znanstveni članek

Opis: The main purpose of this article is to present the test results of the hypothesis that the use of one’s own (and foreign) database (used by investment portfolio managers to create indicators of individual stock analyses) has an effect on the accuracy of forecasting future movements of investment portfolio value. In addition to the use of different indicators and methods of stock analysis, the creation of an optimal investment portfolio requires assessment of the suitability and adequacy of the database used in investment portfolio managers′ decisionmaking process; in other words, it is necessary to determine which stocks are to be included in the specific investment portfolio and which are not. The problem of the selection and use of different databases is linked to the question of determining the importance of numerous relevant elements when creating an optimal investment portfolio.
Ključne besede: database, investment portfolio, investment portfolio managers, stocks
Objavljeno v DKUM: 14.11.2017; Ogledov: 1189; Prenosov: 363
.pdf Celotno besedilo (262,91 KB)
Gradivo ima več datotek! Več...

3.
Inference attacks and control on database structures
Muhamed Turkanović, Tatjana Welzer-Družovec, Marko Hölbl, 2015, izvirni znanstveni članek

Opis: Today’s databases store information with sensitivity levels that range from public to highly sensitive, hence ensuring confidentiality can be highly important, but also requires costly control. This paper focuses on the inference problem on different database structures. It presents possible treats on privacy with relation to the inference, and control methods for mitigating these treats. The paper shows that using only access control, without any inference control is inadequate, since these models are unable to protect against indirect data access. Furthermore, it covers new inference problems which rise from the dimensions of new technologies like XML, semantics, etc.
Ključne besede: inference, attacks, database, security, semantics
Objavljeno v DKUM: 09.08.2017; Ogledov: 1342; Prenosov: 110
.pdf Celotno besedilo (322,91 KB)
Gradivo ima več datotek! Več...

4.
COMPARISON OF MYSQL, NEO4J AND APACHE HIVE DATABASE MANAGEMENT SYSTEMS
Matjaž Moser, 2016, magistrsko delo/naloga

Opis: In this work a comparison of three different database management systems (DBMS) is presented. In general a relational data model with a graph data model is compared. The three systems used are MySQL, Neo4j and Apache Hive. Neo4j is a member of the NoSQL database family and is a well-known graph database. The relational databases used in this work are MySQL and Apache Hive. The latter is not a classic relational model but since it is modelled as such it can be considered relational. MySQL is a well-known solution that has been on the market for several years now and is a standard solution for many data problems. Within this work a detailed comparison of all three systems from different aspects of usage is made, both from our own experience as well as from preliminary research from other authors and sources. Additionally some practical information from our dataset with some simple mining techniques is extracted and the result of our work is visualised in an interactive web side using modern approaches to data visualisation.
Ključne besede: Neo4j, MySQL, Apache Hadoop/Hive, database comparison, data visualisation
Objavljeno v DKUM: 13.05.2016; Ogledov: 2438; Prenosov: 184
.pdf Celotno besedilo (1,02 MB)

5.
UPORABA TEHNOLOGIJ ZA ZAGOTAVLJANJE REVIZIJSKE SLEDI V PRODUKTIH ORACLE
Samo Arko, 2015, diplomsko delo

Opis: V diplomski nalogi smo se osredotočili na ranljivost in varovanje občutljivih podatkov v podatkovnih bazah. Natančneje kako nam tehnologija Oracle Database Vault omogoča zavarovanje dostopa do teh podatkov. V začetku smo predstavili podatkovne baze in njihove največje nevarnosti. Nato smo predelali zakone ter standarde na področju osebnih podatkov, potrebe po revizijski sledi in informacijski varnosti. V zaključku pa smo predelali tehnologije za varovanje podatkovnih baz in vodenje revizije Oracle ter se nato osredotočili na tehnologiji Oracle Audit Vault in Oracle Database Vault.
Ključne besede: Občutljivi podatki, revizija, zakonodaja, standardi za informacijsko varnost, Oracle Database Vault
Objavljeno v DKUM: 14.10.2015; Ogledov: 1620; Prenosov: 116
.pdf Celotno besedilo (1,74 MB)

6.
ZAGOTAVLJANJE RAZPOLOŽLJIVOSTI INFRASTRUKTURNIH STORITEV
Hinko Rosulnik, 2013, diplomsko delo

Opis: Pomembnost zagotavljanja zanesljivosti in razpoložljivosti infrastrukturnih storitev predstavlja eno ključnih nalog informacijske in telekomunikacijske tehnologije. Osnovna ideja zagotavljanja visoke razpoložljivosti infrastrukturnih rešitev je, da vse spremembe, ki se dogajajo v postopkih spremljanja poslovanja na primarni bazi, čim hitreje prenesejo tudi na nadomestno bazo, ki obstoja na neki oddaljeni lokaciji glede na primarno bazo. V normalnem delovanju uporabniki delajo na primarni bazi, medtem ko je nadomestna baza v stanju pripravljenosti. Vse spremembe na primarni bazi se samodejno prenašajo na nadomestno lokacijo in s posebnim avtomatiziranim postopkom vpisujejo v nadomestno bazo. V primeru kakršnekoli nastale napake v postopkih izvajanja poslovanja na informacijskem področju mora sistem pravilno opredeliti vrsto in zahtevnost nastale napake. V zahtevnih primerih nastale napake mora biti računalniški sistem na nadomestni lokaciji sposoben v čim krajšem času avtomatizirano prevzeti vse funkcionalnosti, ki jih je pred napako nudil primarni sistem.
Ključne besede: Oracle Oracle Data Guard Primary database Standby database
Objavljeno v DKUM: 10.12.2013; Ogledov: 1304; Prenosov: 83
.pdf Celotno besedilo (1,54 MB)

7.
PRIMERJAVA PRISTOPOV K RAZVOJU PODATKOVNEGA SLOJA Z ADO.NET ENTITY FRAMEWORK
Rok Avberšek, 2012, diplomsko delo

Opis: V diplomskem delu se primerjajo postopki načrtovanja podatkovnih modelov v ogrodju Entity Framework. Na začetku se osredotoča na samo arhitekturo ogrodja ter prednosti, ki jih ponujajo tehnologije ADO.NET, ADO.NET Entity Framework in LINQ. Predstavljene so tri tehnike oz. poteki dela s principi baze prej, modela prej in kode prej. Vsak izmed postopkov načrtovanja je opremljen s kratkim primerom in obrazložitvijo delovanja ter prednostmi, ki jih ponuja. Naloga je zaključena z razčlenitvijo prednosti in slabosti posameznega postopka načrtovanja, vrsto aplikacije in želje posameznih razvijalcev.
Ključne besede: Microsoft, ADO.NET, LINQ, EDM, Visual, Studio, Code-First, Database-First, Model-First
Objavljeno v DKUM: 26.11.2012; Ogledov: 2054; Prenosov: 170
.pdf Celotno besedilo (2,24 MB)

8.
PODATKOVNE BAZE V OBLAKU
Davorin Krt, 2012, diplomsko delo

Opis: Računalništvo v oblaku se v zadnjih letih zelo hitro razvija in razširja. Eden od možnih načinov zapisovanja podatkov je tudi zapisovanje v podatkovno bazo, zato sta ti dve storitvi združeni v eno, in sicer v podatkovne baze v oblaku. V diplomskem delu so predstavljeni trije ponudniki storitve podatkovnih baz v oblaku. Za vsakega ponudnika je opisano na kakšen način se lahko vzpostavi podatkovna baza v oblaku in kako se lahko izdela aplikacija, ki zna opravljati s to podatkovno bazo v oblaku. Za pomoč pri izbiri najprimernejšega ponudnika storitve podatkovnih baz v oblaku je predstavljena primerjava stroškov in hitrosti izvedenih akcij med obravnavanimi ponudniki.
Ključne besede: podatkovne baze, računalništvo v oblaku, Google, Database.com, Xeround
Objavljeno v DKUM: 14.11.2012; Ogledov: 1953; Prenosov: 265
.pdf Celotno besedilo (2,73 MB)

9.
Relational database as a cogitative part of an intelligent manufacturing system
Igor Drstvenšek, Mirko Ficko, Jože Balič, 2004, izvirni znanstveni članek

Opis: An intelligent manufacturing system is intended to produce one or more subjects that it is designed for in an optimal way. This means that it has to find a proper production process to produce the subject in an optimal way. The manufacturing system can be called "intelligent" when it is able to find applicable optimisation criteria upon its past experiences thus improving its performance in future. Therefore, an intelligent manufacturing system needs capabilities to store data and make decisions upon them. Such a "brain" can be established by a proper design of a technological database and its database management system (DBMS). Examining all constitutive parameters of a work operation a model of a production process organization can be made, which can serve as a basis for a suitable database design. In addition, an application programme that will check the existence and availability of work operations in the database has to be added to the DBMS. What remains are some optimisation criteria upon which we will choose an operation among suitable and available work operations. This task is fulfilled by a genetic algorithm optimisation technique that would consider work operations' data as parameters of optimisation and on this basis search the optimal one out of the set of available operation.
Ključne besede: production processes, optimisation, relational database, database management systems, production automation, manufacturing system
Objavljeno v DKUM: 01.06.2012; Ogledov: 1892; Prenosov: 126
URL Povezava na celotno besedilo

10.
A Hybrid analytical-neural network approach to the determination of optimal cutting conditions
Uroš Župerl, Franc Čuš, Bogomir Muršec, Anton Ploj, 2004, izvirni znanstveni članek

Opis: In the contribution, a new hybrid optimization technique for complex optimization of cutting parameters is proposed. The developed approach is based on the maximum production rate criterion and incorporates 10 technological constrains. It describes the multi-objective techniqueof optimization of cutting conditions by means of the artificial neural network (ANN) and OPTIS routine by taking into consideration the technological, economic and organization limitations. The analytical module OPTIS selects theoptimum cutting conditions from commercial databases with respect to minimum machining costs. By selection of optimum cutting conditions, it is possible to reach a favourable ratio between the low machining costs and high productivity taking into account the given limitation of the cutting process. To reach higher precision of the predicet results, a hybrid optimization algorithm is developed and presented to ensure sample, fast and efficient optimization of all important turning parameters. _
Ključne besede: optimization, cutting conditions, turning, analytical-neural routine, database
Objavljeno v DKUM: 01.06.2012; Ogledov: 2354; Prenosov: 89
URL Povezava na celotno besedilo

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