8th IEEE International Conference on Cloud Computing Technology and Science conference proceedings Using Contextual Data for Smart Patent Analysis
The patent system is a valuable source of information. Millions of patents have been issued and data contained in them is not represented in any other form. However, the usage of these data is not optimal. We believe that contextual data can be very useful in understanding better and using more patent data. This paper reports on developed algorithms, methods and obtained the results in matching patent data with contextual data. Such analytics increases the efficiency of solving patent-related tasks. We process and analyze vast amount of data which contains experts’ opinions to accomplish this task.
In this article the concepts of analytical information system and economic efficiency are considered in application to the information systems. The model of an economic efficiency estimation of the analytical information systems, based on economic fundamental theoretical models, is proposed. A feature of the given approach is the thesis of the strong dependence which exists between the effectiveness of the information system and the economic result of business that is not typical for the transactional systems, but typical for the analytical information systems. The model allows estimating the economic efficiency of any analytical information system involved in any enterprise business process.
This volume contains the papers presented at the 6th International Conference on Similarity Search and Applications (SISAP 2013), held at A Coruna, Spain, during October 2–4, 2013. The International Conference on Similarity Search and Applications (SISAP) is an annual forum for researchers and application developers in the area of similarity data management. It aims at the technological problems shared by many application domains, such as data mining, information retrieval, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that need similarity searching as a necessary supporting service. Traditionally, SISAP conferences have put emphasis on the distance-based searching, but in general the conference concerns both the effectiveness and efficiency aspects of any similarity search approach.
In this paper, we present a modification of dynamic programming algorithms (DPA), which we denote as graphical algorithms (GrA). For some single machine scheduling problems, it is shown that the time complexity of the GrA is less than the time complexity of the standard DPA. Moreover, the average running time of the GrA is often essentially smaller. A GrA can also solve large-scale instances and instances, where the parameters are not integer. For some problems, GrA has a polynomial time complexity in contrast to a pseudo-polynomial complexity of a DPA.
Information systems have been developed in parallel with computer science, although information systems have roots in different disciplines including mathematics, engineering, and cybernetics. Research in information systems is by nature very interdisciplinary. As it is evidenced by the chapters in this book, dynamics of information systems has several diverse applications. The book presents the state-of-the-art work on theory and practice relevant to the dynamics of information systems. First, the book covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers. Also the book presents important problems arising in service-oriented systems, such as dynamic composition, analysis of modern service-oriented information systems, and estimation of customer service times on a rail network from GPS data. After that, the book addresses the complexity of the problems arising in stochastic and distributed systems. In addition, the book discusses modulating communication for improving multi-agent learning convergence. Network issues, in particular minimum risk maximum clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning are described in subsequent chapters. We thank all the authors and anonymous referees for their advice and expertise in providing valuable contributions, which improved the quality of this book. Furthermore, we want to thank Springer for helping us to produce this book.
In this paper we consider one approach to solving the problems of organizing an effective and "friendly" service that implements a web-environment analytical functionality of a multi-dimensional storage of macroeconomic indicators of the economy.
We revisit the problems of computing the maximal and the minimal non-empty suffixes of a substring of a longer text of length n, introduced by Babenko, Kolesnichenko and Starikovskaya [CPM’13]. For the minimal suffix problem we show that for any 1 ≤ τ ≤ logn there exists a linear-space data structure with(τ)query time and(nlogn/τ)preprocessing time. As a sample application, we show that this data structure can be used to compute the Lyndon decomposition of any substring of the text in(kτ)time, where k is the number of distinct factors in the decomposition. For the maximal suffix problem we give a linear-space structure with(1)query time and(n)preprocessing time, i.e., we manage to achieve both the optimal query and the optimal construction time simultaneously.
The article describes main problems with process management and BPMS technologies in the education system, the issues of integration between process management and business intelligence systems in educational IT infrastructure. The future potential of data-centric systems in educational institutions and modern approaches to increasing the value of information are considered.
In this paper an attempt is made to establish causal nexuses between innovation and international trade in Russia. The topicality of this issue is determined by the necessity of choosing policy instruments for economic modernization and transition to innovative development. The VAR model and Granger test are applied for the Russian monthly data from 2005 until the second quartile 2015. Both lagged import and export at national level cause innovation, the latter starts to stimulate foreign trade since the remote lag. In comparison to aggregate data, the results by patent’s categories are more diverse. Importing technologies from foreign countries stimulate patent activity, while innovations created in Russia are only Granger causality for import to Commonwealth of Independent States.
I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.