Data Mining 2.1

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Data Mining 2.1

Company:	NeoNeuro
Country:	Russian Federation, Tulskaya, Plavsk
ASP member:	No
Company Web site:	http://neoneuro.com/en/data-mining
Site of program:	http://neoneuro.com/en/data-mining
Application info:	http://neoneuro.com/en/data-mining

Author:	Evgeny Chuzhakin

Sales email:	info@neoneuro.com
Support email:	info@neoneuro.com

License type:	Freeware
Class:	Education::Science
Specific:
Categories:	Education :: Mathematics
Platform:	Windows
OS:	Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, WinServer, WinOther, WinVista, WinVista x64
System requirements:	Windows
Language:	English
Limitations:	No limitations

English Russian

Keywords: Data Mining, machine learning, artificial intelligence, neural nets

Learn data mining with easy-to-use examples. Teach computer to add, subtract, Boolean operations, Fishers Iris task and even chess moves with convenient application NeoNeuro Data Mining!
You will be amazed how Data Mining learns chess step by step, like a child.
Unlike neural nets NeoNeuro Data Mining works fast, can answer 'I do not know' to some questions and manages with multidimensional tasks.
Features:
Clearness,
High speed,
Working with missed values,
Common algorithm solves different types of tasks.
The program can give a single-value answer, several variants or reply 'I do not know'.
NeoNeuro Data Mining takes into consideration the interconnection between different parameters: in chess it is possible to connect coordinates (vertical for move FROM and vertical for move TO), in financial analysis it is possible to connect data about money to distinguish them from non-money parameters. For instance, salary and monthly credit fee both are the same dimension money, but place of employment and age are the dimensions (attributes) of other types. The problem of neural nets is that they perceive salary, monthly fee and place of employment as three different notions. This is a great restriction which is fixed in Data Mining.
Learning of NeoNeuro Data Mining is similar to childs learning. The application makes the same human mistakes which can be seen in chess learning.
NeoNeuro Data Mining is recommended not only for the purpose of students teaching but also for solving difficult data mining tasks in science research.
NeoNeuro Data Mining is convenient for helping students in understanding the following courses: artificial intelligence, machine learning, neural nets and numerical methods of data mining.
Due to its strong logic and geometry learning skills, NeoNeuro Data Mining is designed for solving tasks in robotics. It is also recommended for analysis of non-structured data in medicine, finance, biology, etc.

Keywords: Data Mining, machine learning, искусственный интеллект, машинное обучение, нейронные сети

Изучайте Data Mining с лёгкими для понимания примерами. Обучите компьютер самостоятельно: сложению, вычитанию, булевым операциям, задаче с ирисами Фишера и даже шахматным ходам при помощи удобной программы NeoNeuro Data Mining!
Вы будете поражены тому, как Data Mining учится шахматам постепенно, как ребёнок.
В отличие от нейронных сетей, NeoNeuro Data Mining работает быстро, может отвечать 'не знаю' на некоторые вопросы, и обрабатывает многомерные задачи.
Достоинства программы:
наглядность,
высокая скорость,
ответ программы может быть: однозначный, несколько вариантов, 'не знаю',
общий алгоритм решает разные типы задач.
В NeoNeuro Data Mining реализован учёт взаимосвязей параметров: в шахматах можно объединять данные с координатами (вертикаль, откуда пошли и вертикаль, куда пошли), в финансовом анализе можно объединять данные, где фигурируют деньги, чтобы отличать их от неденежных параметров. Например, зарплата и ежемесячный платёж по кредиту – это одно изменение, «деньги», а место работы и возраст – совершенно другие измерения. Проблема нейронных сетей в том, что зарплата и ежемесячный платёж являются для них понятиями совершенно разного типа, также как и место работы, что их серьёзно ограничивает.
Обучение NeoNeuro Data Mining похоже на обучение ребёнка. Программа делает схожие 'человеческие' ошибки, что хорошо видно при постепенном обучении программы шахматам.
NeoNeuro Data Mining рекомендуется как для целей обучения, так и для решения сложных задач обработки данных в исследовательских целях.
NeoNeuro Data Mining удобен для обучения студентов по курсам искусственного интеллекта (artificial intelligence) , машинного обучения (machine learning), нейронных сетей (neural nets), численных методов глубокой обработки данных (data mining).
На практике NeoNeuro Data Mining предназначен для решения задач робототехники, благодаря сильной логике и обучения геометрии, а также для анализа неструктурированных данных на темы: медицина, финансы, биология и др.

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Date	Version	Status	Release history
10 Dec 2015	2.1	New Release	Confusion Matrix for Statistics Examples: Adults, Abalone, Credit, etc.

Distribution permissions: Free NeoNeuro Data Mining software can be freely distrubted over the internet in an unchanged form.

NeoNeuro Data Mining Software License Agreement.

This is a legal agreement between you and NeoNeuro Data Mining Software (Evgeny Chuzhakin) covering your use of NeoNeuro Data Mining (the 'Software').

1) NeoNeuro Data Mining is provided as freeware, but only for private, non-commercial use (that means at home).

1a) NeoNeuro Data Mining is free for educational use (schools, universities, museums and libraries) and for use in charity or humanitarian organisations.

1b) If you intend to use NeoNeuro Data Mining at your place of business or for commercial purposes, please register and purchase it.
Commercial users: please contact me by E-Mail for prices, discounts and payment methods.

1c) If you buy NeoNeuro Data Mining license(s), NeoNeuro Data Mining hereby grants to you a perpetual, worldwide, fully paid-up, non-exclusive license to use the Software solely for your internal business purposes.

2) NeoNeuro Data Mining Software is owned by Evgeny Chuzhakin and is protected by copyright laws
and international treaty provisions. Therefore, you must treat the Software like any other
copyrighted material.

3) You may not distribute, rent, sub-license or otherwise make available to others the Software
or documentation or copies thereof, except as expressly permitted in this License without prior
written consent from NeoNeuro Data Mining (Evgeny Chuzhakin). In the case of an authorized transfer, the
transferee must agree to be bound by the terms and conditions of this License Agreement.

4) You may not remove any proprietary notices, labels, trademarks on the Software or
documentation. You may not modify, de-compile, disassemble or reverse engineer the Software.

5) Limited warranty: NeoNeuro Data Mining and documentation are 'as is' without any
warranty as to their performance, merchantability or fitness for any particular purpose.
The licensee assumes the entire risk as to the quality and performance of the software.
In no event shall NeoNeuro Data Mining or anyone else who has been involved in the creation, development,
production, or delivery of this software be liable for any direct, incidental or consequential
damages, such as, but not limited to, loss of anticipated profits, benefits, use, or data resulting
from the use of this software, or arising out of any breach of warranty.

Copyright (C) 2015 by Evgeny Chuzhakin, Plavsk, Russia.

Internet: http://neoneuro.com/en/data-mining
Email: info@neoneuro.com

All rights reserved.

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