New Trends in Classification and Data Mining

دسته بندی: سایبرنتیک: هوش مصنوعی
ویرایش:  
نویسندگان: Markov K.,  Ryazanov V.,  Velychko V.,  Aslanyan L.  
سری:  
 
ناشر:  
سال نشر:  
تعداد صفحات: 203 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 4 مگابایت 

قیمت کتاب (تومان) : 77,000

ITHEA ® Материалы конференции, частично рус. яз.
Sofia, Bulgaria, 2010
ISBN 978-954-16-0042-9 This book maintains articles on actual problems of classification, data mining and forecasting as well as natural language processing:
- new approaches, models, algorithms and methods for classification, forecasting and clusterisation. Classification of non complete and noise data;
- discrete optimization in logic recognition algorithms construction, complexity, asymptotically optimal algorithms, mixed-integer problem of minimization of empirical risk, multi-objective linear integer programming problems;
- questions of complexity of some discrete optimization tasks and corresponding tasks of data analysis and pattern recognition;
- the algebraic approach for pattern recognition — problems of correct classification algorithms construction, logical correctors and resolvability of challenges of classification, construction of optimum algebraic correctors over sets of algorithms of computation of
estimations, conditions of correct algorithms existence;
- regressions, restoring of dependences according to training sampling, parametrical approach for piecewise linear dependences restoration, and nonparametric regressions based on collective solution on set of tasks of recognition;
- multi-agent systems in knowledge discovery, collective evolutionary systems, advantages and disadvantages of synthetic data mining methods, intelligent search agent model realizing information extraction on ontological model of data mining methods;
- methods of search of logic regularities sets of classes and extraction of optimal subsets, construction of convex combination of associated predictors that minimizes mean error;
- algorithmic constructions in a model of recognizing the nearest neighbors in binary data sets, discrete isoperimetry problem solutions, logic-combinatorial scheme in high-throughput gene expression data;
- researches in area of neural network classifiers, and applications in finance field;
- text mining, automatic classification of scientific papers, information extraction from natural language texts, semantic text analysis, natural language processing.

It is represented that book articles will be interesting as experts in the field of classifying, data mining and forecasting, and to practical users from medicine, sociology, economy, chemistry, biology, and other areas. TABLE OF CONTENT
Preface
Table of Content
Index of Authors Minimization of Empirical Risk in Linear Classifier Problem
Yurii I. Zhuravlev, Yury Laptin, Alexander Vinogradov Restoring of Dependences on Samplings of Precedents with Usage of Models of
Recognition
V.V. Ryazanov, Ju.I. Tkachev Composite Block Optimized Classification Data Structures
Levon Aslanyan, Hasmik Sahakyan Synthesis of Corrector Family with High Recogniti Methods for Evaluating of Regularities Systems Structure
Kostomarova Irina, Kuznetsova Anna, Malygina Natalia, Senko Oleg Growing Support Set Systems in Analysis of High‐Throughput Gene Expression Data
Arsen Arakelyan, Anna Boyajian, Hasmik Sahakyan, Levon Aslanyan, Krassimira Ivanova, Iliya Mitov On the Complexity of Search for Conjunctive Rules in Recognition Problems
Elena Djukova, Vladimir Nefedov Optimal Forecasting Based on Convexcorrecting Procedures
Oleg Senko, Alexander Dokukin Reference‐Neighbourhood Scalarization for Multiobjective Integer Linear Programming
Problems
Krassimira Genova, Mariana Vassileva Multiagent Applications in Security Systems: New Proposals and Perspectives
Vladimir Jotsov Numeric‐Lingual Distinguishing Features of Scientific Documents
Vladimir Lovitskii, Ina Markova, Krassimir Markov, Ilia Mitov

Data and Metadata Exchange Repository Using Agents Implementation
Tetyana Shatovska, Iryna Kamenieva LSPL‐Patterns as a Tool for Information Extraction From Natural Language Texts
Elena Bolshakova, Natalia Efremova, Alexey Noskov Computer Support of Semantic Text Analysis of a Technical Specification on Designing
Software
Alla V. Zaboleeva‐Zotova, Yulia A. Orlova Linguistics Research and Analysis of the Bulgarian Folklore. Experimental Implementation
of Linguistic Components in Bulgarian Folklore Digital Library
Konstantin Rangochev, Maxim Goynov, Desislava Paneva‐Marinova, Detelin Luchev

Natural Interface to Election Data
Elena Long, Vladimir Lovitskii, Michael Thrasher Analysis of Natural Language Objects
Oleksii Vasylenko Базовые структуры евклидовых пространств: конструктивные методы описания и
использования
Владимир Донченко, Юрий Кривонос, Виктория Омардибирова Нейросетевая архитектура на частичных обучениях
Николай Мурга Разработка автоматизированной процедуры совмещения изображений
произведений живописи в видимом и рентгеновском спектральных диапазонах
Дмитрий Мурашов Распознавание обектов с неполной информацией и искаженных преобразованиями
из заданной группы в рамках логико‐предметной распознающей системы
Татьяна Косовская