Unified External Data Access Implementation in Formal Concept Analysis Research Toolbox
The proposed training manual is designed to prepare undergraduate students in "Computer Science" and in "Computers, complexes, systems and networks." The manual is designed to prepare students principles of computer networks and technologies used in local area networks. The principles of the construction of computer networks and telecommunications systems interconnection model systems used for networks, data bases, organization channels of analog and digital communication lines via wired and wireless environments principles transmission control information, coding and data compression technology of modern local organizations networks (Ethernet, Token Ring, FDDI, Fast Ethernet, Gigabit Ethernet, 100VG-AnyLAN), network equipment LANs. The manual can be used by students to prepare for the performance of laboratory and practical work on the course "Computer Networks and Telecommunications", "Networking" and "Administering Network Systems".
Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classication, introduced and detailed in the book of Bernhard Ganter and Rudolf Wille, \Formal Concept Analysis", Springer 1999. The area came into being in the early 1980s and has since then spawned over 10000 scientic publications and a variety of practically deployed tools. FCA allows one to build from a data table with objects in rows and attributes in columns a taxonomic data structure called concept lattice, which can be used for many purposes, especially for Knowledge Discovery and Information Retrieval. The \Formal Concept Analysis Meets Information Retrieval" (FCAIR) workshop collocated with the 35th European Conference on Information Retrieval (ECIR 2013) was intended, on the one hand, to attract researchers from FCA community to a broad discussion of FCA-based research on information retrieval, and, on the other hand, to promote ideas, models, and methods of FCA in the community of Information Retrieval. This volume contains 11 contributions to FCAIR workshop (including 3 abstracts for invited talks and tutorial) held in Moscow, on March 24, 2013. All submissions were assessed by at least two reviewers from the program committee of the workshop to which we express our gratitude. We would also like to thank the co-organizers and sponsors of the FCAIR workshop: Russian Foundation for Basic Research, National Research University Higher School of Economics, and Yandex.
A general description is given of software products designed for econometric studies. Software packages Microsoft Excel, Stadium, SPSS, and MATLAB are considered in detail.
Creature questions of the mathematical, informational and programming support for the practice network community control are considered. Community mathematical model is proposed. This model utilization as basis for realization of the control system principal functions in the context of the participant interaction improvement and object community regions forming is considered.
A scalable method for mining graph patterns stable under subsampling is proposed. The existing subsample stability and robustness measures are not antimonotonic according to definitions known so far. We study a broader notion of antimonotonicity for graph patterns, so that measures of subsample stability become antimonotonic. Then we propose gSOFIA for mining the most subsample-stable graph patterns. The experiments on numerous graph datasets show that gSOFIA is very efficient for discovering subsample-stable graph patterns.
Relevance of development of the power effective server equipment optimized for solution of standard problems of datasenter locates in article. The main characteristics of the unified multiprocessor hardware-software server complex developed by staff of National research university "Higher School of Economics" are described
This article is an expanded version of the report submitted by the author on V scientific and practical conference dedicated to the memory of the first Dean of the Faculty of Sociology HSE Alexander O. Kryshtanovskiy "Sociological research methods in modern practice". The article is based on a study of the quantative data obtained in the course of one of the stages of the study "New social movements of youth" by Center of Youth Studies HSE - SaintPetersburg. At this stage, youth community mapping was conducted and analysis of the data using SNA tools was organised. The issue of this work is related to the specific application of network theory and network analysis methods in the process of discovering relations between various informal organisations on the example of youth communities.