Hybrid swarm negative selection algorithm for DNA-microarray data classification
The classification method, based on Combined Swarm Negative Selection Algorithm, which was originally designed for binary classification problems. The accuracy of developed algorithm was tested in an experimental way with the use of microarray data sets.
Подобные документы
Types of knowledge-based systems. Logic, rules and representation. The use of registered names, trademarks in engineering. Expert systems, neural networks, genetic algorithms, case-based reasoning systems and methodologies of intelligent agents.
книга, добавлен 04.10.2014Задачи 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 27.04.2023The possibility of forming an algorithm that allows reconstructing the lost works of easel painting by outstanding masters of the Ancient world is being investigated. The study used methods of computer modeling and analysis, which increased accuracy.
статья, добавлен 04.09.2022A bird's-eye view of modern cryptography. Preliminaries and Defining security in cryptography. Elementary number theory and algebra background. Approximations using partial Greatest common divisors computations. Birthday-based algorithms for functions.
книга, добавлен 08.03.2014Історія 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 08.02.2013Data warehouse base theory. The description of Extract Transform Load processes. Introduction into OpenStreetMap, base knowledge. Extract Transform Load process planning. Extracting and transformation data. Analysis of the developed data warehouse.
практическая работа, добавлен 13.02.2016Study of method of the adaptive shaping of flows of network traffic and method of tuning of the control systems with an indirect feedback. Analysis of algorithm of multivariable adaptation of shaper to changing the set of parameters of input traffic.
статья, добавлен 27.12.2016- 85. Memory Basics
Memory Definitions. Memory Block Diagram. Memory Organization Example. Basic Memory Operations. Timing of signal changes and data observation. RAM Integrated Circuits. Cell Arrays and Coincident Selection. Storage of information on different capacitors.
презентация, добавлен 03.06.2012 Analysis of information technology monitoring and correction of the functional state of students in the process learning created based on developed models, complex criteria classification of constituent states models, algorithms normalized estimates.
статья, добавлен 23.06.2016The article is intended to analyse the development of the institute of personal data protection in the world identify ways to adapt the national legislation of Ukraine to the current personal data protection standards of the EU. To carry out the research.
статья, добавлен 19.09.2024Find the ratio of root-mean-square deviations of pixel distortions and rotations in the learning process to avoid classification errors. Simulation, training and testing of a two-layer perceptron with 250 neurons in its hidden layer for training traingda.
статья, добавлен 27.09.2016Analysis 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 22.12.2016The opportunities of the GeoGebra dynamic geometry environment. Capabilities of the system for creating drawings, tables of experimental data and their application in conducting research work. The examples of solving some elementary geometry problems.
статья, добавлен 25.05.2017The choice of technologies for application development as an stage. The importance of the correct selection of a combination of technologies in ensuring comfortable work in the future at all stages of the program's existence. Scalable technology stack.
статья, добавлен 11.07.2022Применение методов классификации, моделирования и прогнозирования, основанных на применении деревьев решений, искусственных нейронных сетей, генетических алгоритмов, эволюционного программирования. Задачи и возможности Data Miner в Statistica 8.
реферат, добавлен 19.12.2014Search for numerical encoding methods for lossless binary message. Consideration of methods for compressing digital data using binomial coefficients. Using the decomposition of the Bernoulli information source and calculating the maximum value of entropy.
статья, добавлен 02.10.2024Пошук шляхів досягнення конкурентних переваг та стабільності компаній на ринку. Визначення етапів впровадження та проблем використання Big Data в сучасному бізнесі. Забезпечення конфіденційності при зберіганні, обробці й аналізі великих обсягів даних.
статья, добавлен 18.06.2024Analysis of the need for sensors to detect the working environment and collect the necessary information to perform specific tasks in industrial robotics. Object detection algorithm using background subtraction methods for the operation of a robotic arm.
статья, добавлен 01.02.2019Значение понятия "скрытые знания". Определение сути методов Data mining. Язык запросов к базам данных. Выявление возможностей для создания, изменения и извлечения хранимых данных. Data mining и искусственный интеллект. Задачи кластеризации и ассоциации.
контрольная работа, добавлен 14.04.2014Огляд досвіду впровадження технології Big Data в електронній дистрибуції та бізнес-аналітиці. Означення перспективних проєктів в книжковій індустрії, що базуються на цій технології. Спрощення процесів управління галуззю при упровадженні Big Data.
статья, добавлен 15.04.2024Protection from disclosure to unauthorised persons integrity. Maintaining data consistency. Assurance of identity of person or originator of data non-repudiation. Conventional encryption: uses a shared key. Digital Signatures and especially their use.
учебное пособие, добавлен 08.03.2014Digital technologies in the field of personnel selection - the use of automated systems, various web resources and information systems for the digitalization of personnel selection processes. ATS (Applicant Tracking System) - applicant tracking system.
статья, добавлен 21.03.2024The article provides guidance on choosing cloud-based ML and data science solutions that meet operational strategies and crisis management needs. Further research is encouraged to examine the long-term effects on business innovation and market dynamics.
статья, добавлен 20.07.2024