Applied machine learning techniques for clusterisation of financial time series
On relevance of technical analysis. Pattern recognition. Technical indicators. Data processing. Feature extraction. Kolmogorov-Smirnov test. Algorithm and software. Model configuration. Clustering performance on simulated data, brutе force algorithm.
Подобные документы
The issue of many public key cryptosystems and application of embedded devices for this setup. Present an algorithm that also inherently thwarts differential side-channel attacks in finite abelian groups with only limited time and storage overhead.
статья, добавлен 15.09.2012Сравнение тематик (topics) и обзор специальных сессий двух конгрессов. Новое направление исследований – интеллектуальный анализ баз данных временных рядов (Data Mining for Time Series Data Base). Анализ основных работ по DM баз данных временных рядов.
статья, добавлен 09.09.2012A practical guide to using encryption technology to ensure confidentiality, security and integrity of your most valuable assets - its data. The analysis of the basic fundamentals of cryptography and its techniques for dealing with electronic security.
книга, добавлен 08.03.2014Characteristics of the model research cyber-physical systems in industrial production. Description of the hardware installation process and software environment. Consideration of modern approaches to modeling distributed software and semantic data.
статья, добавлен 23.02.2016Понятие термина Data Mining, его история возникновения. Понятие искусственного интеллекта. Сравнение статистики, машинного обучения и Data Mining. Развитие технологии баз данных начиная с 1960-х г. Data Mining как часть рынка информационных технологий.
реферат, добавлен 14.01.2015The possibilities of the MS Excel spreadsheet processing system for visualization of large data sets in an easy-to-understand form. Development of tools for practical implementation for visualization of large data arrays by selecting the required range.
статья, добавлен 29.09.2023The characteristics and features of the topic model in the form of stochastic matrices, their purpose and application. Creation and distinctive features of the new algorithm to build a Sub-hierarchy Galois, the specificity of the visualization tools.
курсовая работа, добавлен 21.06.2016- 58. Algorithms of selection of essential features of signals, which are invariant to move and rotation
Development of the mathematical model of invariant image processing in the visual system. The principles of constructing a functional that reaches a maximum when the values of the transformations are equal to the hidden transformations of the signal.
статья, добавлен 22.12.2016 The algorithm and program in MAPLE for the solution ordinary differential equations of IV order in the form of generalized power series. Some examples of the solution differential equations IV order. The singular regular points of differential equation.
статья, добавлен 01.02.2019Description of the developed energy saving algorithm for autonomous heating systems installed in heated premises. Determination of the moment of switching on for the transition to the specified nominal temperature after maintaining the set temperature.
статья, добавлен 03.12.2018Research and analysis of ways to solve the problem of reducing the expressions obtained in solving the naval system. Structure of Stokes equations. Development and analysis of an equivalent reduction algorithm based on the theory of chain fractions.
статья, добавлен 22.12.2016Short for Optical Character Recognition or Optical Character Reader is the process of taking an image of letters or typed text/ Main features of text recognition. Matrix matching and feature extraction. Matrix matching is the simpler and more common.
презентация, добавлен 06.06.2016- 63. Big Data
Определение термина "Big Data" и его применение в работе с информацией огромного объема и разнообразного состава. Определение основных источников получения компаниями информации. Методики анализа массивов данных и технологии Big Data в разных отраслях.
курсовая работа, добавлен 28.09.2015 Using C ++ Builder to create a binary file. The development of a dynamic array structure of the binary data using the individual functions, located in the library user. The general analysis of the data. Create screensaver with information about the task.
курсовая работа, добавлен 13.07.2014The description of the mechanisms of learning and assessment of the quality of the classifier of the developed system of the automated processing of large amounts of information. The classifier based on the LibSVM library and the support vector machine.
статья, добавлен 25.12.2016The complex of program models of technical system of ecological monitoring, its structure and components. Models based on the results of the studied biophysical effects of the influence of certain technical pollutants on the cells of living organisms.
статья, добавлен 22.12.2016In primary order to satisfy the users' requirements for the productivity and efficiency of tasks implementation the grid-system should implement the effective algorithm of tasks distribution between the computing resources accessible at the moment.
статья, добавлен 07.12.2016The methodological, technical approaches are considered to construct the agent-based model with built-in artificial neural networks. This model describes the user's behavior of electronic, distance learning in a virtual environment of one of universities.
статья, добавлен 23.06.2016Power BI is a business intelligence service created by Microsoft. It is a response to needs of users. Using a simple interface, it provides interactive visualisations and business intelligence opportunities, allowing you to create reports and dashboards.
статья, добавлен 16.06.2024The advantages of remote access to the information resources of the State treasury service of Ukraine with the aim of automating the process of executing budgets. The implementation of the software and technical complex "Treasury client - Treasury".
статья, добавлен 25.06.2024Задачи Data Mining: описательные и предсказательные, классификации и регрессии, поиска ассоциативных правил, кластеризации. Практическое применение Data Mining. Особенности нечеткой логики, виды физической неопределенности. Процесс обнаружения знаний.
презентация, добавлен 27.04.2023Історія формування Data Mining, її головні завдання. Порядок формулювань завдань при використанні методів OLAP і Data Mining. Рівні знань, видобутих з даних. Характеристика основних бізнес-додатків: роздрібна торгівля, телекомунікація, страхування.
реферат, добавлен 30.04.2014Мета технології Data Mining - знаходження в даних закономірностей, які не можуть бути знайдені традиційними методами. Види моделей (предиктивні та описові). Використання методів й алгоритмів Data Mining для побудови моделей. Класифікація стадій та фаз.
реферат, добавлен 22.07.2017A novel family of data-driven linear transformations, aimed at finding low dimensional embeddings of multivariate data, in a way that optimally preserves the structure of the data. The PCA and Fisher’s LDA are the special members in this transformation.
статья, добавлен 08.02.2013A test-bed for research cyber-physical production systems and the hardware setup and the software environment. A new approach for distributed software and semantic data modelling is introduced. System SEPIA - а semantic cyber-physical system approach.
статья, добавлен 23.02.2016