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Vol. 439. Berlin: Springer, 2014.

This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and tutorials. The papers deal with topics such as analysis of images and videos; natural language processing and computational linguistics; social network analysis; machine learning and data mining; recommender systems and collaborative technologies; semantic web, ontologies and their applications; analysis of socio-economic data.          


Added: Nov 13, 2014
Korotayev A. Oxford: Oxford University Press, 1995.

The main research subject of this book is the phenomenon of the "positive deviation" in Sabaic epigraphy, i.e. the use of the plural in the places where one would expect the singular or dual. The quantitative analysis of this phenomenon undertaken in this book leads me to the supposition that its main causes are social and not purely linguistic, though the linguistic trend towards the supplanting of the dual by the plural observed in Middle Sabaic epigraphy can partly (but only partly) explain the positive deviation from the dual. Hence, the study of this phenomenon leads me to the following suppositions with respect to the social history of ancient Yemen: (1.) Clan organization seems to have played an important role in the social life of Middle Sabaean society (= the Middle Sabaean cultural-political area = the Northern part of the area of the Middle Sabaic epigraphy, the 1st century BC - the 4th century AD): (1.a.) All the main types of immovable property (fields, vineyards, houses, irrigation structures, wells &c) were considered as a rule almost without exceptions to be the property of clan groups, but not of the individuals. (1.b.) Clan groups (not individuals) were considered to be chiefs of the tribes.

1.c. Clan groups were often considered to be both objects of the client dependence, and the patrons of the clients ('dm).

1.d. Tribes were often considered to consist of clan groups (not of individuals).

2. In the Ancient Sabaean cultural-political area (the 1st millennium BC) the role of the clan organization was remarkably less important.

2.a. It is impossible to say that almost all kinds of immovable property were considered here to be in the possession of clans. In the majority of the cases individual (not clan) possessions are mentioned in the Ancient Sabaean inscriptions. Though private ownership might not have become completely universal in the Ancient Period, it is quite evident that the process of the formation and proliferation of this form of ownership went quite far in this Period.

2.b. In the Ancient Period the individual forms of cliental dependence seem to have played a much more important role than the clan ones. In the majority of the cases individual persons (not clients) were considered to be both "patrons" and "clients".

2.c. Individual persons (not clans) were usually considered to be leaders of tribes and communities in the Ancient Period.

2.d. Tribes were always considered to consist of individuals (not clans) in this period.

3. One may suppose that the process of the formation of the state and civilization in the Lowlands went far enough in the Ancient Period to cause a considerable decline of the clan organization and the ejecting of it to the periphery (both in the spatial and social senses of this word) of the social system.

4. Hence, it is possible to suppose that with the transition from the Ancient to Middle Period the clan organisation in the "North" significantly consolidated, its social importance considerably grew.

5. The "archaization" of the social life in the Southern (Himyarite-Radmanite) part of the area of the Middle Sabaic epigraphy (most of which was a part of the Qatabanian cultural-political area in the Ancient Period) was less strong than in the Northern ("Sabaean") part. The Ancient "individualized" tradition survived in the South to some extent, and the positions of the clan organization were not so solid here as they were in the North.

6.The above-mentioned social changes fit quite well in the general picture of the Pre-Islamic Yemeni history.

6.a. Several factors described in Chapter 4 caused a significant decline of the Sabaean state and civilization by the end of the 1st millennium BC. The weakening state organization seems to have become incapable of providing guarantees of life and property to individuals, and it was the clan organization that took on these functions to a considerable extent. As a result we can see by the Middle Period the consolidation of the clan organization which acted as a partial substitute for the weak state. This process can be also considered as quite an adequate social adaptation to the new situation which appeared in the Sabaean cultural-political area by the end of the 1st millennium BC with the relative decline of the Sabaean Lowlands (caused by the above-mentioned factors) and the rise of the importance of the "Sabaean" Highlands. Indeed, the Middle "Sabaean" political system, which was much less like a regular state than the Ancient one which included strong clan and tribal structures as its integral elements, turned out to be a really effective form of socio-political organization for a complex society in the Northern Highlands. Most political entities which appeared in this region from that time till the present have showen evident similarities to the Middle "Sabaean" socio-political organization.

6.b. The Middle Sabaean political system may be also characterized as consisting of a weak state in its centre and strong chiefdoms on its periphery. However, there is no doubt that this was a real system, i.e. it had some integrative properties which could not be reduced to the characteristics of its elements. It should be also taken into consideration that the state and chiefdoms were not the only elements of this political system. It included as well e.g. a sub-system of temple centres and the civil community of M_rib, as well as some true tribes (not chiefdoms) in the area of the Sabaean Lowlands, primarily the tribes of the Amirite confederation. With the transition from the Ancient to Middle Period the Sabaean political system was essentially transformed, becoming as a whole very different from the "state", but remaining, however, on basically the same level of political complexity. Without losing any political complexity and sophistication, the Middle "Sabaeans" managed to solve in quite different ways the problems which in complex societies are normally solved by states, such as the mobilization of resources for the functioning of the governing sub-system, the territorial organization of a vast space and the provision of guarantees of life and property. The Middle "Sabaean" experience seems to demonstrate that a large, complex, highly developed (in comparison with for example an average chiefdom) and integrated territorial entity need not necessarily be organized politically as a state. This appears to show that for the "early state" the transition to the "mature state" or complete "degeneration" into "tribes" and "chiefdoms" were not the only ways of possible evolution. One of the possible alternatives was its transformation into a "political system of the Middle Sabaean type". The real processes of political evolution seem to have been actually much less "unilinear" than is sometimes supposed. A significant transformation appears to have occurred in the area in the Early Islamic Period, and by the late Middle Ages the political system of the former "Sabaean" region seems to have consisted mainly of a stronger state in its centre and true tribes (not chiefdoms) on its periphery, whereas regular state structures persisted in the Southern (former Himyarite) cultural-political area.

6.c. The decline of the Ancient Qatabanian state took place significantly later than that of the Ancient Sabaean one. As a result the social continuity between the Ancient and the Middle Period in the Qatabanian cultural-political area was stronger, and the social transformation in the "South" turned out to be less dramatic. As a result in the Middle Period the state organization in the "South" appears considerably stronger than in the "North"; whereas the clan organization seems to have been much weaker. Quite an impressive feature of Yemeni history is that we find a more or less similar picture in 20th century Yemen: very strong clan-tribal structures and very weak state ones in the Yemeni Uplands to the north of Naq_l Yili (in the "Sabaean Highlands") and relatively weak clan-tribal structures and relatively strong state ones to the south of it, in the "Himyarite Highlands". Thus the above described picture appears as almost invariable in Yemeni history since the first centuries AD. This fact leads one to the supposition that there must be some fundamental basis for such a stable difference between the "North" and the "South". Its main objective factor is evident: the significant difference in the geographical conditions. It is really remarkable to find that the Highland territories of the two Middle Period cultural-political areas are practically identical  with  two main ecological zones of the Yemeni uplands.

7. The clan organization was not universal, even in the Middle Sabaean cultural-political area. The dense network of the clan relations was considerably weaker near the king and, perhaps, the most important temple centres, as they stood outside the clan organization and above it. In spatial dimensions, the zone of the weaker clan relations could be localized in the area of Marib and, perhaps, Nashq, Nashshan and San'a'.

Added: Mar 8, 2013
Netherlands: Springer, 2016.

This book aims to identify promising future developmental opportunities and applications for Tech Mining. Specifically, the enclosed contributions will pursue three converging themes:

The increasing availability of electronic text data resources relating to Science, Technology & Innovation (ST&I) The multiple methods that are able to treat this data effectively and incorporate means to tap into human expertise and interests Translating those analyses to provide useful intelligence on likely future developments of particular emerging S&T targets.

Tech Mining can be defined as text analyses of ST&I information resources to generate Competitive Technical Intelligence (CTI). It combines bibliometrics and advanced text analytic, drawing on specialized knowledge pertaining to ST&I. Tech Mining may also be viewed as a special form of “Big Data” analytics because it searches on a target emerging technology (or key organization) of interest in global databases. One then downloads, typically, thousands of field-structured text records (usually abstracts), and analyses those for useful CTI.  Forecasting Innovation Pathways (FIP) is a methodology drawing on Tech Mining plus additional steps to elicit stakeholder and expert knowledge to link recent ST&I activity to likely future development.  A decade ago, we demeaned Management of Technology (MOT) as somewhat selfsatisfied and ignorant.  Most technology managers relied overwhelmingly on casual human judgment, largely oblivious of the potential of empirical analyses to inform R&D management and science policy.  CTI, Tech Mining, and FIP are changing that.

Added: Jun 20, 2016
Edited by: W. van der Aalst, E. Best. Vol. 10258: Lecture Notes in Computer Science. Switzerland: Springer, 2017.

This book constitutes the proceedings of the 38th International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2017, held in Zaragoza, Spain, in June 2017. Petri Nets 2017 is co-located with the Application of Concurrency to System Design Conference, ACSD 2017.

The 16 papers, 9 theory papers, 4 application papers, and 3 tool papers, with 1 short abstract and 3 extended abstracts of invited talks presented together in this volume were carefully reviewed and selected from 33 submissions. The focus of the conference is on following topics: Simulation of Colored Petri Nets, Petri Net Tools.- Model Checking,  Liveness and Opacity,  Stochastic Petri Nets,  Specific Net Classes, and  Petri Nets for Pathways.

Added: May 6, 2017
Rutskiy V. Vol. 229. Springer, 2021.

This book constitutes the refereed proceedings of the artificial intelligence in intelligent systems section of the 10th Computer Science Online Conference 2021 (CSOC 2021), held online in April 2021. Artificial intelligence in intelligent systems topics are presented in this book. Modern hybrid and bio-inspired algorithms and their application are discussed in selected papers.

Added: Oct 9, 2021
Edited by: G. Agre, P. Hitzler, A. A. Krisnadhi et al. Vol. 8722. Cham; Heidelberg; NY; Dordrecht; L.: Springer, 2014.

This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2014, held in Varna, Bulgaria in September 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 53 submissions. The range of topics is almost equally broad, from traditional areas such as computer vision and natural language processing to emerging areas such as mining the behavior of Web-based communities.  

Added: Oct 20, 2014
Edited by: B. Mirkin, I. Muchnik, L. Rozonoer. Heidelberg: Springer Publishing Company, 2018.

This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman (1931-1977), a pioneer in developing the machine learning theory. The 12 revised full papers and 4 short papers included in this volume were presented at the conference "Braverman Readings in Machine Learning: Key Ideas from Inception to Current State" held in Boston, MA, USA, in April 2017, commemorating the 40th anniversary of Emmanuil Braverman's decease. The papers present an overview of some of Braverman's ideas and approaches. The collection is divided in three parts. The first part bridges the past and the present. Its main contents relate to the concept of kernel function and its application to signal and image analysis as well as clustering. The second part presents a set of extensions of Braverman's work to issues of current interest both in theory and applications of machine learning. The third part includes short essays by a friend, a student, and a colleague.

Added: Sep 11, 2018
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
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

In this paper, a statistical game was defined and solved. Its solution is: the optimal randomized decision rule, the probability of a correct decision on this rule, and the worst a priori distribution of the test subjects knowledge levels. We have developed a method for assessment the accuracy and reliability of decision making by on test results. The proposed program allows you to assessment the reliability of the solution for a test containing 10 items with different levels of difficulty, and 11 different levels of knowledge level.

Added: Apr 18, 2021
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
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
Edited by: R. Belohlavek, S. Kuznetsov. Olomouc: Palacky University, 2008.

The present volume contains regular papers from CLA 2008, the Sixth International Conference on Concept Lattices and Their Applications. CLA 2008 was held in Olomouc, Czech Republic, from October 21 to October 23, 2008, and was jointly organized by the Palack´y University, Olomouc, and the State University of New York at Binghamton. The areas of interest for CLA include various topics related to formal concept analysis, such as foundational aspects, concept lattices and related structures, data mining, attribute implications and data dependencies, algorithms, visualization, data preprocessing, redundancy and dimensionality reduction, information retrieval, classification, clustering, ontologies, and applications in various domains.

The conference received 29 initial submissions from which 19 were accepted as regular papers (acceptance rate for regular papers is 0.66). Contributions to CLA 2008 were refereed by at least two reviewers (2.88 reviews per paper on average) on the basis of their originality, quality, significance, and presentation. When one of the program chairs was involved in a paper, the reviewing process of this paper was managed independently by the other chair. The program of CLA 2008 consisted of presentations of regular papers and posters, and four invited talks, namely by Bernhard Ganter (TU Dresden, Germany), Petr H´ajek (Academy of Sciences of the Czech Republic), George Karypis (University of Minnesota, USA), and Dominik Slezak (Infobright Inc., Canada).

Added: Dec 9, 2012
Vol. 1624. M.: Higher School of Economics, National Research University, 2016.

The 13th International Conference on “Concept Lattices and Applications (CLA 2016)” was held at National Research University Higher School of Economics, Moscow, Russia from July 18 until July 22, 2016. The CLA conference, organized since 2002, aims to provide to everyone interested in Formal Concept Analysis and more generally in Concept Lattices or Galois Lattices, an advanced view on some of the last research trends and applications in this field. It also aims to bring together students, professors, researchers and engineers, involved in all aspects of the study of concept lattices, from theory to implementations and practical applications. As the diversity of the selected papers shows, there is a wide range of research directions, around data and knowledge processing, including data mining, knowledge discovery, knowledge representation, reasoning, pattern recognition, together with logic, algebra and lattice theory. The program of the conference includes four keynote talks given by the following distinguished researchers: Lev D. Beklemishev (Mathematical Institute of Russian Academy of Science, Moscow), J´erˆome Euzenat (INRIA Grenoble Rhˆone-Alpes), Bernhard Ganter (TU-Dresden), Boris G. Mirkin (National Research University Higher School of Economics, Moscow). This volume includes the selected papers and the abstracts of the invited talks. This year, 46 papers were submitted, from which 28 papers were accepted as regular papers. We would like to thank here the contributing authors for their valuable work, the members of the program committee and the external reviewers who analyzed the papers with care. All of them participated to the continuing quality and importance of CLA, highlighting its key role in the field. Then we would also like to thank the steering committee of CLA for giving us the occasion of leading this edition of CLA, the conference participants for their participation and support, and people in charge of the organization, especially Larisa I. Antropova, Ekaterina L. Chernyak, Dmitry I. Ignatov, Olga V. Maksimenkova, whose help was very precious in many occasions and that contributed to the success of the event. We would like to thank our sponsors, namely National Research University Higher School of Economics, ExactPro company, Russian Foundation for Basic Research. Finally, we also do not forget that the conference was managed (quite easily) with the Easychair system, for many tasks including paper submission, selection, and reviewing.

Added: Oct 6, 2016
Kitaev A. Y., Shen A. H., Vyalyi M. AMS, 2002.

This book is an introduction to a new rapidly developing theory of quantum computing. It begins with the basics of classical theory of computation: Turing machines, Boolean circuits, parallel algorithms, probabilistic computation, NP-complete problems, and the idea of complexity of an algorithm. The second part of the book provides an exposition of quantum computation theory. It starts with the introduction of general quantum formalism (pure states, density matrices, and superoperators), universal gate sets and approximation theorems. Then the authors study various quantum computation algorithms: Grover's algorithm, Shor's factoring algorithm, and the Abelian hidden subgroup problem. In concluding sections, several related topics are discussed (parallel quantum computation, a quantum analog of NP-completeness, and quantum error-correcting codes).

Rapid development of quantum computing started in 1994 with a stunning suggestion by Peter Shor to use quantum computation for factoring large numbers--an extremely difficult and time-consuming problem when using a conventional computer. Shor's result spawned a burst of activity in designing new algorithms and in attempting to actually build quantum computers. Currently, the progress is much more significant in the former: A sound theoretical basis of quantum computing is under development and many algorithms have been suggested.

In this concise text, the authors provide solid foundations to the theory -- in particular, a careful analysis of the quantum circuit model -- and cover selected topics in depth. Included are a complete proof of the Solovay-Kitaev theorem with accurate algorithm complexity bounds, approximation of unitary operators by circuits of doubly logarithmic depth. Among other interesting topics are toric codes and their relation to the anyon approach to quantum computing.

Added: Oct 17, 2014
Edited by: E. Artemova, D. Ilvovsky, D. Skorinkin et al. Vol. 1886. Aachen: CEUR Workshop Proceedings, 2017.

As the number of digital texts increases rapidly, there is a pressing need for more advanced and diverse tools of natural language processing. While purely statistical approaches proved powerful and efficient for many NLP tasks, there are many applications that would benefit from the formal models and approaches traditional language science has to offer. With hopes to facilitate this interaction between theory and practical implementation, we are pleased to announce the workshop on Computational Linguistics and Language Science to be held in Moscow, Russia on April 25, 2016 (11 AM to 6 PM).

Added: Jun 25, 2017
Mirkin B. L.: CRC Press, 2012.

One of the goals of the first edition of this book back in 2005 was to present a coherent theory for K-Means partitioning and Ward hierarchical clustering. This theory leads to effective data pre-processing options, clustering algorithms and interpretation aids, as well as to firm relations to other areas of data analysis. The goal of this second edition is to consolidate, strengthen and extend this island of understanding in the light of recent developments. Moreover, the material on validation and interpretation of clusters is updated with a system better reflecting the current state of the art and with our recent ``lifting in taxonomies'' approach. The structure of the book has been streamlined by adding two Chapters: ``Similarity Clustering'' and ``Validation and Interpretation'', while removing two chapters: ``Different Clustering Approaches'' and ``General Issues.'' The Chapter on Mathematics of the data recovery approach, in a much extended version, almost doubled in size, now concludes the book. Parts of the removed chapters are integrated within the new structure. The change has added a hundred pages and a couple of dozen examples to the text and, in fact, transformed it into a different species of a book. In the first edition, the book had a Russian doll structure, with a core and a couple of nested shells around. Now it is a linear structure presentation of the data recovery clustering.

Added: Jan 31, 2013