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Tytuł:
Big data management algorithms in artificial Internet of Things-based fintech
Autorzy:
Andronie, Mihai
Iatagan, Mariana
Uță, Cristian
Hurloiu, Iulian
Dijmărescu, Adrian
Dijmărescu, Irina
Powiązania:
https://bibliotekanauki.pl/articles/19902795.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
big data management algorithms
artificial intelligence
Internet of Things
fintech
banking
capital markets
Opis:
Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling excess leverage decrease and cutting down information asymmetry and transaction expenses across capital markets. AI- and IoT-based fintechs enable immersive and collaborative financial transactions, purchases, and investments in relation to payment tokens and metaverse wallets, managing financial data, infrastructure, and value exchange across shared interactive virtual 3D and simulated digital environments. Methods: AMSTAR is a comprehensive critical measurement tool harnessed in systematic review methodological quality evaluation, DistillerSR is harnessed in producing accurate and transparent evidence-based research through literature review stage automation, MMAT appraises and describes study checklist across systematic mixed studies reviews in terms of content validity and methodological quality predictors, Rayyan is a responsive and intuitive knowledge synthesis tool and cloud-based architecture for article inclusion and exclusion suggestions, and ROBIS appraises systematic review bias risk in relation to relevance and concerns. As a reporting quality assessment tool, the PRISMA checklist and flow diagram, generated by a Shiny App, was used. As bibliometric visualization and construction tools for large datasets and networks, Dimensions and VOSviewer were leveraged. Search terms were “fintech” + “artificial intelligence”, “big data management algorithms”, and “Internet of Things”, search period was June 2023, published research inspected was 2023, and selected sources were 35 out of 188. Findings & value added: The growing volume of financial products and optimized operational performance of financial industries generated by fintech can provide firms with multifarious financing options quickly. Big data-driven fintech innovations are pivotal in banking and capital markets in relation to financial institution operational efficiency. Through data-driven technological and process innovation capabilities, AI system-based businesses can further automated services.
Źródło:
Oeconomia Copernicana; 2023, 14, 3; 769-793
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorytmy sterowania i zarządzania budynkami mieszkalnymi
Control and management algorithms for housingbuildings
Autorzy:
Długosz, M.
Piątek, P.
Baranowski, J.
Skruch, P.
Powiązania:
https://bibliotekanauki.pl/articles/274633.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
automatyka
sterowanie
inteligenty budynek
optymalizacja
sieci bezprzewodowe
optimal control
intelligent building
optimalisation
wireless networks
Opis:
Lokal mieszkalny jest bardzo złożonym obiektem do sterowania. Wzajemnie wykluczające się wskaźniki jakości np. komfort użytkowników i poziom zużycia energii powoduje, że niezwykle trudno znaleźć odpowiednie kompromisowe rozwiązanie. Właściwości fizyczne obiektu sterowania (np. rozkład temperatury w pomieszczeniach), a także występowanie pewnych niedeterministycznych zdarzeń (np. temperatura zewnętrzna, przebywanie w lokalu pewnej grupy osób) powodują, że do sterowania należy użyć kilku algorytmów, które mogą ze sobą współpracować (np. wymiana danych). Z jeden strony układy sterowania, np. temperaturą w pomieszczeniach, powinny zapewnić odpowiedni komfort osób w nim przebywających, z drugiej strony dąży się do tego, aby minimalizować koszty takiego sterowania. Optymalizując koszt energii grzewczej, należy uwzględniać fakt, czy w lokalu przebywają jakieś osoby albo czy też np. któreś z okien jest otwarte. Można określić także szereg innych zadań sterowania które podnoszą bezpieczeństwo i komfort mieszkańców, np. alarmy, symulacja obecności domowników, wykrywanie zalania lokalu lub pożaru. W ramach niniejszej pracy przedstawione są zagadnienia badane w ramach projektu "Algorytmy sterowania i zarządzania budynkami mieszkalnymi". W artykule omawiane są wstępne zagadnienia związane z modelowaniem, problematykę sieci bezprzewodowych w automatyce budynkowej oraz zagadnienia testowania systemów. Pracę kończy podsumowanie i literatura.
Housing unit is a very complex control process. Mutualy exclusive performance indices such as users comfort and energy minimisatian causes difficulities in finding a compromise solution. Object physical properties (e.g. temperature distribution in rooms) and presence of certain non doterministic factors (e.g. outside temperature, presence of group of people) cause, that control system needs to constitute of a number of cooperating algorithms (for example for data exchange). From one side temperature control systems should provide comfort for the users, on the other hand it is desired to minimise the costs of control. Optimisation of heating energy needs to consider the presence of people, whether for example a window is open. Also many different control tasks can be formulated which will improve the safety and comfort of users for example alarms, presence simulation, flooding or fire detection. This paper presents the areas investigated in the research project "Control and management algorithms for housing buildings". Initial issues of modelling, wireles home automation networks and system testing problems are considered. Paper ends with conclusions and references.
Źródło:
Pomiary Automatyka Robotyka; 2011, 15, 12; 77-85
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
GPU - Accelerated fluid flow approximation of the Active Queues Management algorithms
Aproksymacja płynna algorytmów AQM - wspomagana przez GPU
Autorzy:
Domański, A.
Domańska, J.
Czachórski, T.
Powiązania:
https://bibliotekanauki.pl/articles/375722.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
computer networks
active queue management
CUDA environment
Opis:
In the article we study a model of TCP connection with Active Queue Management in an intermediate IP router. We use the fluid flow approximation technique to model the interactions between the set of TCP flows and AQM algoithms. Computations for fluid flow approximation model are performed in the CUDA environment.
Artykuł opisuje zastosowanie aproksymacji płynnej do modelowania interakcji pomiędzy zbiorem strumieni TCP, a mechanizmami aktywnego zarządzania buforami (AQM). Obliczenia zostały przeprowadzone w środowisku GPU. Wyniki przedstawione w artykule potwierdzają przewagę algorytmu CHOKe nad standardowym algorytmem AQM: mechanizmem RED.
Źródło:
Theoretical and Applied Informatics; 2013, 25, 2; 93-104
1896-5334
Pojawia się w:
Theoretical and Applied Informatics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Software for Information and Technical System of Operational Monitoring of Agrobiological State of Agricultural Land of Oleksandr Brovarets Construction
Autorzy:
Brovarets, O.
Powiązania:
https://bibliotekanauki.pl/articles/972983.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
information and technical system
local operational monitoring
soil
samples
variability
size
research
functional structure
software
program code
management algorithms
Opis:
Modern agriculture involves the implementation of a particular technological operation, according to the appropriate map-task, which is developed pre-based on diverse information. Knowledge of a certain structure of soil cover variability, obtained using information and technical systems of local operational monitoring of the agrobiological state of agricultural lands, allows us to adopt effective operational decisions for efficient management of agrobiological potential of agricultural lands. Obviously, under such conditions, there is a need for fundamentally new approaches to agricultural production, which is to ensure the proper quality of technological operations. The quality of the implementation of technological operations is an integral indicator of the efficiency of production of agricultural products within the agrobiological field. The necessary quality of implementation of the basic technological processes in plant growing is provided by the integrated information and technical systems of operational monitoring of the agrobiological state of agricultural lands. In connection with this, the task is to use a fundamentally new class of information and technical systems of local operational monitoring of the agrobiological state of agricultural lands. The task is achieved by using the information and technical system of operational monitoring of the soil environment of the structure to determine the conductive characteristics of the soil environment. The purpose of this research is to develop and substantiate the functional structure, software, writing code and algorithms for managing the executive bodies of the information and technical system of operational monitoring of the agrobiological state of the soil environment of agricultural lands.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2019, 8, 4; 28-41
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Randomized algorithms supporting management of an intelligent internal transport system
Autorzy:
Topolski, M.
Powiązania:
https://bibliotekanauki.pl/articles/393183.pdf
Data publikacji:
2017
Wydawca:
Polskie Stowarzyszenie Telematyki Transportu
Tematy:
intelligent transport systems
recognition Bayes
inteligentny system transportowy
Opis:
This paper presents a probabilistic model in managing intelligent internal transport based on decision making risk. The term reliability of an internal transport denotes failure-free operating time of internal transport as compared to the entire time particular transport is supposed to operate correctly. This paper illustrates a model of risk evaluation in internal transport operation based on probability that the system will reliably function within particular time, in a particular environment for specific purposes. Building probabilistic models used to calculate the risk of production planning is based on a reliable analysis of all possible aspects of producing a particular economic good. Modelling evaluates strengths and weaknesses of an enterprise which would like to complete a transport task, plans a transport processes based on the most important goals originating from the transport process.
Źródło:
Archives of Transport System Telematics; 2017, 10, 3; 46-50
1899-8208
Pojawia się w:
Archives of Transport System Telematics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorytmy wspomagające proces zarządzania drogowymi obiektami inżynierskimi
Algorithms supporting the management process of road engineering objects
Autorzy:
Janas, L.
Kaszyński, A.
Miller, B.
Powiązania:
https://bibliotekanauki.pl/articles/143952.pdf
Data publikacji:
2017
Wydawca:
Stowarzyszenie Inżynierów i Techników Komunikacji Rzeczpospolitej Polskiej
Tematy:
obiekty mostowe
zarządzanie
remonty
sieci neuronowe
bridges
management system
repairs
neural networks
Opis:
W wielu krajach proces zarządzania obiektami mostowymi jest wspomagany zaawansowanymi algorytmami obliczeniowymi. W niniejszym artykule omówiono algorytmy wspomagające ustalanie kolejności remontów obiektów mostowych, opracowane dla Generalnej Dyrekcji Dróg Krajowych i Autostrad. Algorytmy te są oparte na bazie danych ewidencyjnych, bazie ocen uszkodzeń oraz bazie ocen przydatności do użytkowania. Jeden z algorytmów, wykorzystujący sieci neuronowe, jest stosowany w GDDKiA do wspomagania tworzenia listy rankingowej obiektów inżynierskich (w tym mostowych), które wymagają remontów w pierwszej kolejności.
The number of bridges on the Polish national roads and motorways exceeds 4 thousand. The objective assessment which objects should be repaired at first creates many difficulties. The administrator of national roads General Directorate for National Roads and Motorways (GDDKiA) sought the tool which, based on existing databases, will form the list with order of repairs of bridges. In the article there are discussed parameters which should be taken into consideration at the settlement of the order of repair. A novel approach is presented herein, namely the computational algorithm based on neural networks, enabling the creation of stand-ings and the settlement of the optimum-order of repair. This algorithm is currently used in GDDKiA.
Źródło:
Drogownictwo; 2017, 9; 285-289
0012-6357
Pojawia się w:
Drogownictwo
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying ad hoc algorithms for highway traffic management
Autorzy:
Kabarowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/393250.pdf
Data publikacji:
2010
Wydawca:
Polskie Stowarzyszenie Telematyki Transportu
Tematy:
telematyka transportu
wybory lidera
wielkość zbliżenia
transport telematics
leader election
single hop network
size approximation
Opis:
The number of cars participating in highway traffic is still growing as well as the necessity of quick and fluent transport between different locations. Therefore, ensuring the fluency and safety in highway traffic is becoming an essential problem in recent times. If only the driver knew about a danger waiting behind the bend, he would slow down; if someone got the information about a traffic jam 10 km earlier, he would probably take a different road or stop. This paper aims at providing transport telematics solutions which ensure simple, fast and efficient means for highway traffic management. The ad hoc algorithms presented concern broadcasting within highway traffic and assume the collisions detection and a single hop network. Installing a simple transmitter and receiver on every car is considered. Energy efficient size approximation algorithms and a leader selection procedure are presented and discussed, including simulations.
Źródło:
Archives of Transport System Telematics; 2010, 3, 2; 13-17
1899-8208
Pojawia się w:
Archives of Transport System Telematics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorithmic Human Resources Management – Perspectives and Challenges
Autorzy:
Sienkiewicz, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/2166151.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
human resources management
HR analytics
algorithms
HRM ethics
Opis:
Theoretical background: Technology – most notably processes of digitalisation, the use of artificial in telligence, machine learning, big data and prevalence of remote work due to pandemic – changes the way organizations manage human resources. One of the increasing trends is the use of so-called “algorithmic management”. It is notably different than previous e-HRM or HRIS (human resources information systems) applications, as it automates HR-related duties. Algorithms, being autonomous computational formulae, are considered objective and mathematically correct decision-making mechanisms. Limiting human in volvement and oversight of the labour process might lead to serious ethical and managerial challenges. Many areas – previously being sole responsibility of managers (including HR managers), like employment relations, hiring, performance management, remuneration – are increasingly affected, or even taken over, by algorithmic management.Purpose of the article: The purpose of this article is to review the development, perspectives and challenges (including possible biases and ethical considerations) of algorithmic human resources management. This novel approach is fuelled by the speeding processes of digitalisation, the use of artificial intelligence, big data and increased analytical capabilities and applications used by contemporary companies. Algorithms are formulas that autonomously make decisions based on statistical models or decision rules without human intervention. Therefore, the use of algorithmic HRM automates decision-making processes and duties of human resources managers, thereby limiting human involvement and oversight, which can have negative consequences for the organization.Research methods: The article provides a critical literature review of theoretical sources and empirical evidence on the application of algorithmic human resources management practices. Scientific journals in the field of human resources management and technology applications have been reviewed, as well as research reports from academic institutions and renowned international organizations.Main findings: Applications of algorithmic human resources management are an emerging field of study that is currently not extensively researched. Little is known about the scale of use as well as consequences of this more automated approach to manage human work. Scarce evidence suggests possible negative con sequences, including ethical concerns, biases leading to discriminatory decisions and adverse employees’ reactions to decisions based on algorithms. After the review of possible future developments and challenges connected to algorithmic HRM, this article proposed actions aimed at re-humanisation of the approach to managerial decision-making with the support of algorithms, ensuring transparency of the algorithms construction and functionalities, and increasing reliability and reduction of possible biases.
Źródło:
Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia; 2021, 55, 2; 95-105
0459-9586
2449-8513
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control law algorithms for aircraft engines and thrust management systems
Algorytmy sterowania do silników lotniczych
Autorzy:
Wiklik, K.
Powiązania:
https://bibliotekanauki.pl/articles/213026.pdf
Data publikacji:
2007
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Lotnictwa
Tematy:
algorytmy sterowania
silniki lotnicze
układy zarządzania ciągiem
control law algorithms
aircraft engines
Opis:
The paper shows the control law algorithms for turbojet engines and thrust management systems and presents the simulation design method to find its settings, in order to fulfil the required performance criteria. The obtained results confirm that the simulation design approach has much to offer in the design of controls for next-generation engines and aircraft.
W pracy podano algorytmy praw sterowania do turbinowych silników odrzutowych i układów zarządzania ciągiem. Przedstawiono metody symulacyjne umożliwiające określenie nastaw, które zapewniają spełnienie wymaganych kryteriów jakości sterowania. Otrzymane wyniki potwierdzają skuteczność metod symulacyjnych przy projektowaniu układów sterowania do silników i samolotów przyszłych generacji.
Źródło:
Prace Instytutu Lotnictwa; 2007, 3 (190); 1-58
0509-6669
2300-5408
Pojawia się w:
Prace Instytutu Lotnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stakeholder-accountability model for artificial intelligence projects
Autorzy:
Miller, Glorja J.
Powiązania:
https://bibliotekanauki.pl/articles/2163225.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
accountability
artificial intelligence
algorithms
project management
ethics
Opis:
Aim/purpose – This research presents a conceptual stakeholder accountability model for mapping the project actors to the conduct for which they should be held accountable in artificial intelligence (AI) projects. AI projects differ from other projects in important ways, including in their capacity to inflict harm and impact human and civil rights on a global scale. The in-project decisions are high stakes, and it is critical who decides the system’s features. Even well-designed AI systems can be deployed in ways that harm individuals, local communities, and society. Design/methodology/approach – The present study uses a systematic literature review, accountability theory, and AI success factors to elaborate on the relationships between AI project actors and stakeholders. The literature review follows the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement process. Bovens’ accountability model and AI success factors are employed as a basis for the coding framework in the thematic analysis. The study uses a web-based survey to collect data from respondents in the United States and Germany employing statistical analysis to assess public opinion on AI fairness, sustainability, and accountability. Findings – The AI stakeholder accountability model specifies the complex relationships between 16 actors and 22 stakeholder forums using 78 AI success factors to define the conduct and the obligations and consequences that characterize those relationships. The survey analysis suggests that more than 80% of the public thinks AI development should be fair and sustainable, and it sees the government and development organizations as most accountable in this regard. There are some differences between the United States and Germany regarding fairness, sustainability, and accountability. Research implications/limitations – The results should benefit project managers and project sponsors in stakeholder identification and resource assignment. The definitions offer policy advisors insights for updating AI governance practices. The model presented here is conceptual and has not been validated using real-world projects. Originality/value/contribution – The study adds context-specific information on AI to the project management literature. It defines project actors as moral agents and provides a model for mapping the accountability of project actors to stakeholder expectations and system impacts.
Źródło:
Journal of Economics and Management; 2022, 44; 446-494
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cost-efficient project management based on critical chain method with partial availability of resources
Autorzy:
Pawiński, G.
Sapiecha, K.
Powiązania:
https://bibliotekanauki.pl/articles/205579.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
project management and scheduling
resource allocation
resource constraints
metaheuristic algorithms
parallel processing
Opis:
Cost-efficient project management based on Critical Chain Method (CCPM) is investigated in this paper. This is a variant of the resource-constrained project scheduling problem (RCPSP) when resources are only partially available and a deadline is given, but the cost of the project should be minimized. RCPSP is a well- known NP hard problem but originally it does not take into consideration the initial resource workload. A metaheuristic algorithm driven by a metric of a gain was adapted to solve the problem when applied to CCPM. Refinement methods enhancing the quality of the results are developed. The improvement expands the search space by inserting the task in place of an already allocated task, if a better allocation can be found for it. The increase of computation time is reduced by distributed calculations. The computational experiments showed significant efficiency of the approach, in comparison with the greedy methods and with genetic algorithm, as well as high reduction of time needed to obtain the results.
Źródło:
Control and Cybernetics; 2014, 43, 1; 95-109
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ICS System Supporting the Water Networks Management by Means of Mathematical Modelling and Optimization Algorithms
Autorzy:
Studzinski, J.
Powiązania:
https://bibliotekanauki.pl/articles/385196.pdf
Data publikacji:
2015
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
drink water distribution system
water net hydraulic model
hydraulic optimization
water net management
Opis:
In the/this paper a concept of an integrated information system for complex management of water networks is presented. The ICT system is under development at the Systems Research Institute (IBS PAN) in Warsaw for a couple of years and it is gradually tested in some Polish communal waterworks of differentiated size. Several waterworks management tasks requiring mathematical modelling, optimization and approximation algorithms can be solved using this system. Static optimization and multi-criteria algorithms are used for solving more complicated tasks like calibration of the water net hydraulic model, water net optimization and planning, control of pumps in the water net pump stations etc. [4] But some of the management tasks are simpler and can be performed by means of repetitive simulation runs of the water net hydraulic model. The water net simulation, planning of the SCADA system, calculation of water age and chlorine concentration in the water net, localization of hidden water leaks occurring in the network and planning of water net revitalization works are the examples of such tasks executed by the ICT system. They are described in this paper.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 4; 48-54
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management
Autorzy:
Lăzăroiu, George
Bogdan, Mădălina
Geamănu, Marinela
Hurloiu, Lăcrămioara
Luminița, Luminița
Ștefănescu, Roxana
Powiązania:
https://bibliotekanauki.pl/articles/19901187.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
artificial intelligence algorithms
cloud computing
blockchain
fintech
green and sustainable finance
banking
Opis:
Research background: Fintech development shapes corporate investment efficiency and economic growth with innovative tools, and can decrease financing constraints of enterprises, enabling direct and indirect financing and furthering inter-bank competition. Crowdfunding- and blockchain-based fintech operations harness deep and maching learning algorithms, augmented and virtual reality technologies, and big data analytics in mobile payment transactions. Purpose of the article: We show that fintechs have reconfigured financial service delivery by harnessing AI-based data-driven algorithms and cloud and blockchain technologies. Fintech optimizes financial organization and services, economic structures and growth, data analysis, and digital banking performance.  Machine learning algorithms can streamline payment operation capabilities and process promptness, ensuring smooth operational flows, assessing risks, and detecting frauds and money laundering by historical data and customer behavior analysis across instant payment networks and infrastructures. Methods: Quality tools: AXIS, Eppi-Reviewer, PICO Portal, and SRDR. Search period: July 2023. Search terms: “fintech” + “artificial intelligence algorithms”, “cloud computing technologies”, and “blockchain technologies”. Selected sources: 40 out of 195. Published research inspected: 2023. Data visualization tools: Dimensions and VOSviewer. Reporting quality assessment tool: PRISMA. Findings & value added: Fintech development enables organizational innovation by mitigating information asymmetry and financing limitations while providing financial assistance and tax incentives in relation to products and services. The fintech growth has influenced the dynamic intermediary function of financial institutions in terms of sustainability and economic development. Fintech and natural resources negatively influence, while green innovations and financial development further, environmental sustainability.
Źródło:
Oeconomia Copernicana; 2023, 14, 3; 707-730
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An efficient approach for view selection for data warehouse using tree mining and evolutionary computation
Autorzy:
Thakare, A.
Deshpande, P.
Powiązania:
https://bibliotekanauki.pl/articles/305413.pdf
Data publikacji:
2018
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
database management systems
data warehousing and data mining
query optimization
graph mining
algorithms for parallel computing
evolutionary computations
genetic algorithms
Opis:
The selection of a proper set of views to materialize plays an important role in database performance. There are many methods of view selection that use different techniques and frameworks to select an efficient set of views for materialization. In this paper, we present a new efficient scalable method for view selection under the given storage constraints using a tree mining approach and evolutionary optimization. The tree mining algorithm is designed to determine the exact frequency of (sub)queries in the historical SQL dataset. The Query Cost model achieves the objective of maximizing the performance benefits from the final view set that is derived from the frequent view set given by the tree mining algorithm. The performance benefit of a query is defined as a function of query frequency, query creation cost, and query maintenance cost. The experimental results show that the proposed method is successful in recommending a solution that is fairly close to an optimal solution.
Źródło:
Computer Science; 2018, 19 (4); 431-455
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Generic algorithms for predictive refillment scheduling in SCM-systems of large retail companies
Autorzy:
TSEPELEV, D.
SALEH, HADI
Powiązania:
https://bibliotekanauki.pl/articles/457302.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Rzeszowski
Tematy:
supply chain management
refillment planning
predictive refillment scheduling algorithm
Opis:
The article contains a description of generic predictive refillment scheduling algorithm.
Źródło:
Edukacja-Technika-Informatyka; 2016, 7, 2; 245-248
2080-9069
Pojawia się w:
Edukacja-Technika-Informatyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 42

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