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
Development of an algorithm for obtaining a video depth map using the method of image division. Using web cameras to determine the object and calculate the distance to it. Development of software code for streaming video of the experimental setup.
статья, добавлен 13.07.2022Поняття інтелектуального аналізу даних (Data Mining), їх розвідка. Виникнення і розвиток Data Mining. Сутність та мета технології. Етапи розв'язування задачі класифікації та регресії. Пошук асоціативних правил. Особливості кластеризації об'єктів.
реферат, добавлен 09.07.2017Технологии извлечения знаний Data Mining. Сравнение формулировок задач при использовании методов OLAP и Data Mining. Выявление мошенничества с кредитными карточками. Подходы к определению понятия "информационная система", многообразие элементов системы.
контрольная работа, добавлен 19.08.2011Password authentication is one of essential services in our life for protecting data. In other words, we may loose a lot of money, sensitive data, if passwords leak out. We have to understand clearly what is important for creating or changing passwords.
статья, добавлен 23.06.2016Identify and select fragments of developed software products and applied technologies that contribute to the formation and development of professional competencies of professionals. Reviews software applications and fragments of their software code.
статья, добавлен 16.08.2023The issue of necessity of monitoring circumstance of software systems implemented through service-based principle in conditions of continuous development and enhancement. Pattern and antipattern detection. Metric calculation algorithms. Response time.
дипломная работа, добавлен 31.10.2016Методи аналізу даних за допомогою інформаційних систем. Консолідація та візуалізація даних в задачах інформаційного бізнесу. Задача асоціації в Data Mining. Кластеризація алгоритмів типу k-means та g-means. Прогнозуючі та класифікаційні моделі.
курсовая работа, добавлен 06.02.2012Определение термина Big Data, разработка соответствующих технологий и исследования в этой области, позиционирование в прошлом и настоящем. Социализация информационных технологий. Анализ использования Big Data в социальных сетях, проблемы и перспективы.
курсовая работа, добавлен 26.06.2022The problem of the development of mathematical support to automate the process of diagnostic and recognizing model construction by precedents. The software realizing proposed transformations and indicators characterizing their properties was developed.
статья, добавлен 29.07.2016Android operating system security. Analysis and processing of personal data. Ways to overcome security protection. Analysis of existing systems determines the level of danger. Encryption with a public-key. Structure, components of Android applications.
диссертация, добавлен 27.01.2015A computer based decision support system is proposed the basic tasks of which are adaptive model constructing of financial processes. The system is developed with the use of system analysis principles, forming alternatives for models and forecasts.
статья, добавлен 20.01.2017Analysis of the model of dynamic classification software applications included in the business critical systems for security access. Information technology, allowing to distinguish three basic classes of safety-critical access software applications.
статья, добавлен 22.12.2016- 113. Brute force
Consideration of the state of US policy in the area of private and public encryption of data. An analysis of the legality of the use by the state of private information about their citizens fininsah. The study of features the standard encryption.
книга, добавлен 08.03.2014 Особливості обробки великих масивів даних у сфері інтернет-маркетингу за допомогою Data Science. Аналіз застосування методів машинного навчання для оптимізації маркетингової стратегії компанії у цифровому середовищі. Оцінка важливості збору інформації.
статья, добавлен 16.06.2021Development of tools aimed at maximising the efficiency of the competition of Kaggle. Approbation of a new modified knn algorithm, which allows to obtain more accurate results for classification problems, to participants Of kaggle competitions.
дипломная работа, добавлен 01.12.2019Development of an algorithm for identifying potential clients of factoring services based on information from databases of Russian banks. Its implementation in the VBA programming language. Recommendations for improving the efficiency of sales staff.
дипломная работа, добавлен 01.12.2019Feature of writing wrapper libraries on top of libraries written in other programming languages or transpiled from other programming languages. Characteristics of the improvement of most of the standard indicators of the quality of the software code.
статья, добавлен 19.03.2024The detail parallelization a popular global search method, the PSO algorithm using MPJ Express. The parallel PSO algorithm’s robustness and efficiency are demonstrated by using four standard benchmark functions Alpine, Rosenbrock, Rastrigin and Schaffer.
статья, добавлен 23.02.2015Методы автоматизированного неразрушающего контроля в рамках задачи кластеризации данных по применению коротковолнового электромагнитного излучения при дефектоскопии. Методы исследования: самоорганизующиеся карты Кохонена в рамках Data Mining подхода.
статья, добавлен 11.11.2018A new model of the take-off weight of the aircraft determining process and the weight distribution of passengers’ law. A simulation of the operations in the preparation for departure process. The effect of weight on the passenger aircraft alignment.
статья, добавлен 27.06.2016The dimension reduction as a way to overcome the errors of the measurement when dealing with vector data in high-dimensional spaces and as a modelling tool of map. A techniques for dimension. The implementation of neural's networks for these techniques.
научная работа, добавлен 08.02.2013Сущность и определение понятия интеллектуального анализа данных. Технологии data mining как инструмент для решения сложных аналитических задач. Типы выявляемых закономерностей в системе. Области применения технологий интеллектуального анализа данных.
лекция, добавлен 26.08.2010The main types of noise and filters that remove them from the image and analyze the apparent differences in the distribution of the image (using the watershed algorithm). Choosing the best filter to use when working with the watershed algorithm.
статья, добавлен 14.01.2017The study of accidents and disasters involving a variety of critical infrastructures, assessment of the level of fault tolerance software management systems. The calculation method based optimization of software testing management system infrastructure.
статья, добавлен 28.02.2016Consideration of new forms of binary representations of Boolean functions. Analysis of single algebraic and non-inverting classic models of the Reed-Muller. Using technology "EDM - Extended Data Mining". Characteristics of main data mining algorithms.
статья, добавлен 14.07.2016