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Regular version of the site
Of all publications in the section: 16 219
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Book
Долгоруков А. М. М.: МГГУ им. М.А. Шолохова, 2010.
Added: Jun 28, 2010
Book
Edited by: A. A. Paramonov, A. Rossius, A. Smirnov. M.: Прогресс-Традиция, 2012.

The present catalogue contains abstracts for some 150 volumes, among which books, periodicals, miscellanies, published by the Institute of Philosophy of the Russian Academy of Sciences, the principal institute in Russia for academic research in all kinds of philosophical knowledge. These works, written by eminent Russian scholars, cover such fi elds as the history of Russian, Western and Oriental philosophy, ethics and aesthetics, synergetics and epistemology, social and political philosophy and concentrate on problems that have attained particular importance in the age of globalization and growth of national self-consciousness.

Added: Mar 28, 2013
Book
Sergueï Karp. Vol. I: 1764-1778. Ferney-Voltaire: Centre international d'étude du XVIIIe siècle, 2016.

La parution du premier tome de la correspondance de Catherine II et Friedrich Melchior Grimm vient couronner une entreprise de longue haleine dirigée par Sergueï Karp, l’édition critique des lettres échangées entre 1764 à 1796 par l’impératrice russe avec le directeur de la Correspondance littéraire. Les lettres contenues dans ce volume sont en effet précieuses pour éclairer les relations entre l’Impératrice et le milieu philosophique et artistique. Durant toute cette période, Grimm – auquel la souveraine s’adresse avec familiarité sur le mode de la conversation, en un français parfois truffé de remarques en allemand – circule une grande partie du temps entre la Russie, les Provinces- Unies, l’Italie, puis de nouveau la Russie, la Suède et le Danemark avant de revenir en France à la fin de l’année 1777. Il s’affirme de plus en plus comme « un intermédiaire essentiel dans les relations culturelles » de Catherine II avec l’Occident, particulièrement dans le domaine des arts, se chargeant de traiter avec les artistes, les intermédiaires et les marchands, à Paris et à Rome, pour le compte de la tsarine.

Added: Jul 18, 2016
Book
Polishchuk L., Firsov E. Y. M.: 2007.

Cause-related marketing is a business strategy where firms bundle their products and brands with contributions to designated charities. The double appeal of this strategy is that it responds to societal pressure for “corporate social responsibility” and at the same time could prove commercially profitable. The paper inquires into the origins and incidence of economic gains of cause-related marketing. It identifies two sources of its profitability – first, corporations utilize their advantages over households in covering transaction costs of philanthropy, and second, can exploit cause-related marketing as a price-discrimination tool. Cause-related marketing channels to charity significant resources that would not be available otherwise due to high transaction costs of individual donations. It thus contributes to social welfare and, at the same time, to the bottom-line of practicing firms. This explains the observed rapid proliferation of this strategy against the overall stagnation and even decline of corporate philanthropy.

Added: Jan 3, 2009
Book
Obydenkova A., Libman A. L.; NY: Routledge, 2015.

In recent decades, the regions of Russia have taken different paths of regime transition. Despite the consolidation of an autocratic regime at national level and the centralization steered by Vladimir Putin’s government, the variation across sub-national regimes persists. Using an innovative theoretical framework, this book explores both causes and consequences of democratization in the regions of Russia. It is the first study in the field to systematically integrate structural and agency approaches in order to account for economic, social, historical and international causes of democratization and to trace its consequences. By focusing on the challenging and under-studied topic of sub-national regimes, the book provides a unique perspective on regime transition and the new theoretical framework contributes to a better understanding of democratization world-wide. The book will be of key interest to scholars and students of democratization, sub-national regimes, East European politics, comparative politics, post-communism, and international relations.

Added: Oct 18, 2017
Book
Obydenkova A., Libman A. Routledge, 2015.

In recent decades, the regions of Russia have taken different paths of regime transition. Despite the consolidation of an autocratic regime at national level and the centralization steered by Vladimir Putin’s government, the variation across sub-national regimes persists. Using an innovative theoretical framework, this book explores both causes and consequences of democratization in the regions of Russia. It is the first study in the field to systematically integrate structural and agency approaches in order to account for economic, social, historical and international causes of democratization and to trace its consequences. By focusing on the challenging and under-studied topic of sub-national regimes, the book provides a unique perspective on regime transition and the new theoretical framework contributes to a better understanding of democratization world-wide. The book will be of key interest to scholars and students of democratization, sub-national regimes, East European politics, comparative politics, post-communism, and international relations.

Added: Oct 19, 2015
Book
Edited by: D. I. Ignatov, S. Kuznetsov, J. Poelmans. Iss. 757. M.: Higher School of Economics Publishing House, 2011.

Concept discovery is a Knowledge Discovery in Databases (KDD) research field that uses human-centered techniques such as Formal Concept Analysis (FCA), Biclustering, Triclustering, Conceptual Graphs etc. for gaining insight into the underlying conceptual structure of the data. Traditional machine learning techniques are mainly focusing on structured data whereas most data available resides in unstructured, often textual, form. Compared to traditional data mining techniques, human-centered instruments actively engage the domain expert in the discovery process. This volume contains the contributions to CDUD 2011, the International Workshop on Concept Discovery in Unstructured Data (CDUD) held in Moscow. The main goal of this workshop was to provide a forum for researchers and developers of data mining instruments working on issues with analyzing unstructured data. We are proud that we could welcome 13 valuable contributions to this volume. The majority of the accepted papers described innovative research on data discovery in unstructured texts. Authors worked on issues such as transforming unstructured into structured information by amongst others extracting keywords and opinion words from texts with Natural Language Processing methods. Multiple authors who participated in the workshop used methods from the conceptual structures field including Formal Concept Analysis and Conceptual Graphs. Applications include but are not limited to text mining police reports, sociological definitions, movie reviews, etc.

Added: Dec 3, 2012
Book
Edited by: S. Kuznetsov, D. I. Ignatov, J. Poelmans. Leuven: Katholieke Universiteit Leuven, 2012.
Concept discovery is a subarea of Knowledge Discovery in Databases (KDD) where concept models, such as Formal Concept Analysis (FCA), multimodal clustering, conceptual graphs and other, are used for gaining insight into the underlying conceptual structure of data. Traditional machine learning techniques are mainly focusing on structured data given by object-attribute tables, whereas most data available nowadays are given in unstructured, often textual, form. As compared to traditional data mining techniques, human-centered instruments of concept discovery actively engage domain experts in the discovery process. This volume contains the papers presented at the 2nd International Workshop on Concept Discovery in Unstructured Data (CDUD 2012) held on May 10, 2012 at the Katholieke Universiteit Leuven, Belgium. This workshop welcomes papers describing innovative research on data discovery in complex data. Moreover, this workshop provides a forum for researchers and developers of data mining instruments, working on issues associated with analyzing unstructured data. This year the committee decided to accept 11 papers for publication in the proceedings. Each submission was reviewed by on average 3 program committee members. A. Mestrovic presents an application of concept lattices to semantic matching in Croatian language. A. Chepovskiy et al. propose a method for automatic language identi cation for transliterated texts. X. Naidenova describes a novel neural network based data structure for inferring classi cation tests. A. Kravchenko et al. introduce an approach for expert search which is based on analyzing e-mail communication patterns. D. Ustalov et al. propose an ontologybased approach for text-to-picture synthesis. A. Skabin presents a computerized recognition system for hand-written historical manuscripts. A. Panchenko et al. extract semantic relations between concepts from Wikipedia using KNN algorithms. D. Fedyanin uses parameter identi cation methods for Markov models and applies them to influence analysis in social networks. S. Milyaev et al. discuss a new method for self-tuning semantic image segmentation. A. Vorobev proposes a probabilistic model for evaluating the quality level of projects, authors and experts in collaborative innovation platforms. D. Gnatyshak et al. present a novel pseudo-triclustering algorithm and applied it to online social network data. A. Bozhenyuk et al. discuss methods for maximum flow and minimum cost flow fi nding in fuzzy setting. We would like to express our gratitude to all contributing authors and reviewers. We also want to thank our sponsors Amsterdam-Amstelland police, IBM Belgium, Research Foundation Flanders, Vlerick Management School, OpenConnect Systems and Higher School of Economics (Moscow, Russia). Finally, we should thank the authors of the EasyChair system which helped us to manage the reviewing process.     May 10, 2012 Leuven Dmitry I. Ignatov Sergei O. Kuznetsov Jonas Poelmans  
Added: Mar 10, 2013
Book
CEUR Workshop Proceedings, 2016.

Concept discovery is a subdomain of Knowledge Discovery (KDD) that uses

human-centered techniques such as Formal Concept Analysis (FCA), Topic Mod-

eling, Visual Text Representations, Conceptual Graphs etc. for gaining insight

into the underlying conceptual structure of the data. Traditional machine learn-

ing techniques are mainly focusing on structured data whereas most data avail-

able resides in unstructured, often textual, form. Compared to traditional data

mining techniques, human-centered instruments actively engage the domain ex-

pert in the discovery process.

This volume contains the papers presented at the 3rd International Workshop

on Concept Discovery in Unstructured Data (CDUD 2016) held on July 18,

2018 at the National Research University Higher School of Economics, Moscow,

Russia. This workshop welcomes papers describing innovative research on data

discovery in complex data. It particular, it provides a forum for researchers and

developers of text mining instruments, whose research is related to the analysis

of linguistic and text data.

This year 15 papers had been submitted. Each submission has been reviewed,

at least, by 2 program committee members. Seven papers have been accepted

for regular publication in the proceedings, and three more submissions for pub-

lication as project proposals or abstracts.

Papers included in this volume cover a wide range of topics related to text

mining and structures for text representation: text navigation, statistical learning

models, automatic author or field identification in texts, among others.

An invited talk given by Natalia Loukachevitch from Moscow State Univer-

sity has opened the workshop program. She has surveyed modern tasks and

approaches in sentiment analysis of Twitter messages.

Our deep gratitude goes to all the authors of submitted papers, as well as

to the Program Committee members for their commitment. We also would like

to thank our invited speaker and our sponsors: National Research University

Higher School of Economics (Moscow, Russia), Russian Foundation for Basic

Research, and ExactPro. Finally, we would like to acknowledge the EasyChair

system which helped us to manage the reviewing process.

Added: Oct 5, 2017
Book
Davidson A. B. Pretoria: Book House, 2003.
Added: Sep 6, 2010
Book
Lagutaeva D., Grigoriev A., Tretyak O. Madrid: 2018.

The contemporary marketing practices methodology (CMP) attracts attention of a substantial number of researchers in the field of strategic marketing. In the past two decades there were more than fifty papers published in peer-reviewed outlets addressing the analytics of usage of contemporary marketing practices in a variety of countries and industries. In this note we discuss reliability of these studies with respect to the usage of specific analytic tools. First, we demonstrate that standard clustering analysis is relatively sensitive to small changes in the datasets with companies being assigned to different clusters at frequent rates. Second, the project national teams make use of different, often incompatible settings. Therefore, to make possible comparisons between the countries and across industries, the researchers must agree on a generic setup and procedures. We conclude the note sketching the basics of these common grounds. 

Added: Sep 16, 2018
Book
Edited by: N. Aseeva, E. Babkin, O. Kozyrev. Vol. 963: Emerging Topics in Business Informatics Research 2012. Nizhny Novgorod: Higher School of Economics in Nizhny Novgorod, 2012.

This book constitutes a collection of selected contributions from the 11th International Conference on Perspectives in Business Informatics Research, BIR 2012, held in Nizhny Novgorod, Russia, in September 2012. 

The 15 papers presented in this volume were carefully reviewed and selected from 36 submissions. They have been organized in topical sections on: knowledge management and the Semantic Web; business and information systems development; business, people, and systems interoperability; and business intelligence.

Added: Nov 18, 2013
Book
Vol. 2135 : Third Conference on Software Engineering and Information Management (SEIM-2018) (full papers). 2018.

The Third Conference on Software Engineering and Information Management (SEIM-2018) opens its doors to young researchers and practitioners in different areas of computer science and software engineering, providing an opportunity to present their research, discuss state-of-the-art technology and engage in useful networking. We consider SEIM-2018 to mainly focus on researchers who are just starting out their scientific careers, and hope to ease their introduction to the conference process. On the other hand, SEIM might also be of interest to more experienced researchers, who are aimed at sharing their research with a wider scientific community.

These proceedings include the SEIM-2018 papers, which were selected by the Program Committee for publication in CEUR-WS.org. These papers passed not only the original review procedure, but also an additional round of post-review with the conference feedback. The additional information about the SEIM conference series can be found on the conference website at: http://2018.seim-conf.org/

Added: Feb 13, 2019
Book
Edited by: R. Missaoui, S. Kuznetsov, S. Obiedkov. Iss. 1534: SNAFCA 2015 Social Network Analysis using Formal Concept Analysis. Malaga: CEUR Workshop Proceedings, 2015.

Social network analysis (SNA) is a multidisciplinary research area that has attracted many researchers from different disciplines such as Physics, Mathematics, Sociology, Biology and Computer Science, and has been studied according to different approaches and techniques. A social network is a dynamic structure (generally represented as a graph) of a set of entities/actors (nodes) together with links (edges) between them. The explosive growth of online social media has provided users with the opportunity to create and share digital content on a range hardly imaginable a few years ago. Indeed, massive participation has transformed online social networks into cores of social activity and a critical information vehicle. This is reflected by the number of news, opinions, and reviews that are constantly posted and discussed on these networks. The size and diversity of user generated content create an opportunity for identifying central and influential players, behavioral trends and user communities.

Added: Oct 19, 2015
Book
Edited by: A. Althonayan, T. Belkina, V. Mkhitaryan et al. Vol. 2018. Aachen: CEUR-WS, 2017.
Added: Dec 13, 2017
Book
Edited by: T. A. Belkina, S. Islyaev, V. Mkhitarian et al. Vol. 1726. Aachen: CEUR-WS, 2016.

This volume contains the papers presented at CMDM 2016: The Workshop on Computer Modelling in Decision Making held on November 10{11, 2016 in Sara- tov. The CMDM 2016 workshop brings together researchers, postgraduate stu- dents and academics interested in computer and mathematical modelling in de- cision making in di erent areas. The CMDM 2016 workshop's main topic is computer and mathematical modelling in decision making in nance, insurance, banking, economic forecasting, investment and nancial analysis. The workshop takes place in Saratov State University (Saratov, Russia) on the 10th and 11th of November 2016 and is co-organized with the Central Bank of the Russian Fed- eration and the Department of Statistics and Data Analysis of Higher School of Economics (Moscow, Russia). The workshop is co-located with the V International Youth Research and Practice Conference on Mathematical and Computer Modelling in Economics, Insurance and Risk Management, Saratov, Russia, November 10{11, 2016. Fifteen papers were submitted and ten papers were accepted for presentation at the workshop after a careful peer reviewing process with discussions among reviewers and members of the program committee. Each paper was reviewed by at least two reviewers or members of the program committee. We would like to thank all reviewers for their helpful e orts. The CMDM 2016 workshop has been nancially supported by the Russian Fund for Basic Research (grant 16-31-10296). The EasyChair system has been used to manage the submissions, reviewing, and proceedings production and we would like to express our gratitude to the sta of EasyChair system for support.

Added: Feb 22, 2017