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Early Performance Evaluation of Supervised Graph Anomaly Detection Problem Implemented in Apache Spark
P. 84-91.
Mazeev A., Semenov A., Dmitry D., Timur Y.
Apache Spark is one of the most popular Big Data frameworks. Performance evaluation of Big Data frameworks is a topic of interest due to the increasing number and importance of data analytics applications within the context of HPC and Big Data convergence. In the paper we present early performance evaluation of a typical supervised graph anomaly detection problem implemented using GraphX and MLlib libraries in Apache Spark on a cluster.
In book
Vol. 1990: Proceedings of the 3rd Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists. , CEUR Workshop Proceedings, 2017
Semenov A., Mazeev A., Dmitry D. et al., Lobachevskii Journal of Mathematics 2018 Vol. 39 No. 9 P. 1262-1269
The graph anomaly detection problem occurs in many application areas and can be solved by spotting outliers in unstructured collections of multi-dimensional data points, which can be obtained by graph analysis algorithms. We implement the algorithm for the small community analysis and the approximate LOF algorithm based on Locality-Sensitive Hashing, apply the algorithms to a ...
Added: June 10, 2019
Kuznetsov V. O., Логистика и управление цепями поставок 2018 № 4 (87) С. 27-33
One of the options for a more flexible approach to analyzing the reliability of supply chains is the principal component analysis (PCA). With a large number of variables describing supply chain, it is a difficult task to analyze the structure of variables in two-dimensional space. Within the analysis of the variables dependencies PCA allows to ...
Added: November 29, 2018
CEUR Workshop Proceedings, 2019
Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning
at the National Research Univeristy Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7) ...
Added: October 23, 2019
Buzmakov A. V., В кн. : МАШИННОЕ ОБУЧЕНИЕ В ИССЛЕДОВАНИЯХ МЕДИКО-БИОЛОГИЧЕСКИХ И СОЦИАЛЬНО-ЭКОНОМИЧЕСКИХ ДАННЫХ. : СПб. : Федеральное государственное автономное образовательное учреждение высшего образования "Санкт-Петербургский политехнический университет Петра Великого", 2020. С. 284-333.
In many practical tasks it is needed to estimate an effect of treatment on individual level. For example, in medicine it is essential to determine the patients that would benefit from a certain medicament. In marketing, knowing the persons that are likely to buy a new product would reduce the amount of spam. In this ...
Added: December 7, 2021
Anton Khritankov, , in : Software Quality: Future Perspectives on Software Engineering Quality: 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021, Proceedings. : Springer, 2021. P. 54-65.
In this concept paper, we explore some of the aspects of quality of continuous learning artificial intelligence systems as they interact with and influence their environment. We study an important problem of implicit feedback loops that occurs in recommendation systems, web bulletins and price estimation systems. We demonstrate how feedback loops intervene with user behavior ...
Added: September 23, 2021
Lukashina N., Kartysheva E., Spjuth O. et al., Journal of Cheminformatics 2022 Vol. 14 Article 49
Polypharmacy refers to the administration of multiple drugs on a daily basis. It has demonstrated effectiveness in treating many complex diseases , but it has a higher risk of adverse drug reactions. Hence, the prediction of polypharmacy side effects is an essential step in drug testing, especially for new drugs. This paper shows that the ...
Added: October 11, 2022
Natalia Sizykh, Said Dandamaev, Dmitry Sizykh, , in : 16th International Conference Management of large-scale system development (MLSD). : IEEE, 2023. P. 1-5.
Forecasting data and research on cryptocurrency price forecasting methods are increasing in importance. So far, methods based on LSTM deep learning architecture have shown the best results in forecasting cryptocurrency prices. In order to improve the accuracy of forecasting data, this paper investigates the application of a multivariate multistep forecasting method based on the LSTM ...
Added: December 22, 2023
Dordrecht, L., Heidelberg, NY : Springer, 2014
This book constitutes the thoroughly refereed proceedings of the Third International Conference on Belief Functions, BELIEF 2014, held in Oxford, UK, in September 2014. The 47 revised full papers presented in this book were carefully selected and reviewed from 56 submissions. The papers are organized in topical sections on belief combination; machine learning; applications; theory; ...
Added: October 1, 2014
Tikhonova M., Elina Telesheva, Mirzoev S. et al., , in : 2021 International Conference Engineering and Telecommunication (En&T). : IEEE, 2022. P. 1-6.
Style transfer is an important and a rapidly developing of Natural Language Processing. This days more and more methods and models are proposed which allow us to generate text in predefined style. In this paper we propose a framework for style transfer of “Friends” TV series. The trained models are able to mimic one of ...
Added: May 21, 2022
PMLR, 2022
Added: July 27, 2022
Gothenburg : Association for Computational Linguistics, 2023
Current deep learning systems require large amounts of data in order to yield optimal results. Despite ever-increasing model and data size, these systems have achieved remarkable success across a wide range of tasks in NLP, and AI in general. However, these systems possess a number of limitations. Firstly, the models require a significant amount of ...
Added: December 5, 2023
Kitzmann H., Strimovskaya A., Serova E., , in : Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023 Nagpur, India, December 15–16, 2023 Proceedings, Part II. Vol. 698.: Springer, 2024. P. 132-143.
Highly evolving economic environment requires from logistics companies
fast response and agile solutions. Recently development of digital technologies
gives significant advantages to logistics business. Hence many optimized
processes belong to operational management level. At the same time the importance
of digital technologies adoption to strategic management level should not be
underestimated, as it allows gaining competitive advantages alongside the supply
chain. ...
Added: January 12, 2024
Springer, 2014
This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. A large variety of topics are covered, such as algorithm configuration; multiobjective ...
Added: September 15, 2014
Prague : CEUR Workshop Proceedings, 2014
The first and the second edition of the FCA4AI Workshop showed that many researchers working in Artificial Intelligence are indeed interested by a well-founded method for classi- fication and mining such as Formal Concept Analysis (see http://www.fca4ai.hse.ru/). The first edition of FCA4AI was co-located with ECAI 2012 in Montpellier and published as http://ceur-ws.org/Vol-939/ while the ...
Added: September 12, 2014
Сендерович М. А., В кн. : Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского. : М. : МИЭМ НИУ ВШЭ, 2019. С. 223-224.
Данная работа посвящена актуальной теме автоматизации в машинном обучении на примере создания универсальной рекомендательной системы. В работе исследуются различные типы рекомендательных систем, акцент делается на подходы коллаборативной фильтрации. Изучаются методы автоматизации машинного обучения, на основе которых будет разработана данная рекомендательная система. ...
Added: October 31, 2020
Suvorova A., Смирнова К. Р., Будин Е. А. et al., Компьютерные инструменты в образовании 2018 № 3 С. 49-64
The article describes a student research project on predicting the class of a post on a social network based on its textual content. The features of the project are discussed as an integral part of the trajectory of teaching data analysis methods, including text analysis methods and tools that are often not included in machine ...
Added: January 28, 2019
Association for Computing Machinery (ACM), 2020
On behalf of the conference chairs, we welcome you to the 10th International Conference on Web Intelligence, Mining and Semantics (WIMS'20) hosted by LIUPPA Lab of the University de Pau & Pays de l'Adour, Biarritz-France. The 1st WIMS conference was organized in Sogndal Norway. Since then, it has always been published by ACM. After 10 ...
Added: August 28, 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Кузнецов А. С., Shvechikov P., Grishin A. et al., , in : International Conference on Machine Learning (ICML 2020). Vol. 119.: PMLR, 2020. P. 5556-5566.
Added: October 17, 2020
Springer, 2021
This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021.
The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length.
The research part ...
Added: July 10, 2021
Belov A. V., Ekaterina A. Melekhova, Vorontsova T., , in : 2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS). : St. Petersburg : IEEE, 2022. P. 219-223.
The paper deals with the problem of improving the quality of metal products. Nowadays destructive methods of quality control of the steel billets prevail at metallurgical enterprises. This approach to assessing the quality of the steel billets is wasteful, which increases its cost. One of the ways to reduce the cost of production of metal ...
Added: January 28, 2023
[б.и.], 2018
Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018) ...
Added: October 29, 2018
Bankov D., Khorov E., Lyakhov A., , in : 2020 IEEE Symposium on Computers and Communications (ISCC). : IEEE, 2020. P. 1-6.
LoRaWAN is a popular low power wide area network technology widely used in many scenarios, such as environmental monitoring and smart cities. Different applications demand various quality of service (QoS), and their service within a single network requires special solutions for QoS provision. We consider the problem of QoS provision in heterogeneous LoRaWAN networks that ...
Added: October 17, 2020
Makarova V. A., Управление финансовыми рисками 2015 № 04(44) С. 270-287
Methods of companies’ risk management are non-transparent, so the fact of it risk management system often does not increase business attractiveness. The main purpose of this study is to identify the key factors for the effectiveness of the risk management of the company whose management is able to increase its investment attractiveness. This article presents ...
Added: December 7, 2015