Systemological Bases of Business Intelligence

Sustainable development support, balanced scorecard development and business process modeling are viewed from the position of systemology. Extensional, intentional and potential properties of a system are considered as necessary to satisfy functional requirements of a meta-system. The correspondence between extensional, intentional and potential properties of a system and sustainable, unsustainable, crisis and catastrophic states of a system is determined. The inaccessibility cause of the system mission is uncovered. The correspondence between extensional, intentional and potential properties of a system and balanced scorecard perspectives is showed. The IDEF0 function modeling method is checked against balanced scorecard perspectives. The correspondence between balanced scorecard perspectives and IDEF0 notations is considered.

Improving the Lexicon of Positive/Negative Words and Bigrams for Sentiment Analysis

Report published in the Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013

Моделирование Многомерных Данных в Системе METAS BI-Platform

Представлено формальное описание многомерной модели данных, реализованной в программном комплексе METAS BI-Platform. В статью включено описание объектов многомерной модели (измерений и множеств измерений и т.д.), их свойств и организации, а также операций, выполняемых над ними. Описаны методы агрегации многомерных данных, позволяющие эффективно агрегировать массивы числовых показателей. Программный комплекс METAS BI-Platform предназначен для многомерного анализа данных, получаемых из гетерогенных источников, и позволяет упростить разработку BI-приложений. Программный комплекс представляет собой многоуровневое приложение с архитектурой «Клиент-сервер». Каждый уровень комплекса соответствует степени абстракции данных. На самом низком уровне расположены драйверы доступа к специфическим физическим источникам данных. Следующий уровень – уровень виртуальной СУБД, позволяющей осуществлять унифицированный доступ к данным, что избавляет от необходимости учитывать специфику конкретных СУБД при разработке BI-приложений. Реализован программный интерфейс комплекса (API). В распоряжение разработчиков предоставляется набор готовых компонентов, которые могут быть использованы при создании BI-приложений. Это позволяет разрабатывать на основе комплекса BI-приложения, отвечающие современным требованиям, предъявляемым к подобным системам.

Encyclopaedia Slavica Sanctorum: Activity, Users, Statistics

Encyclopaedia slavica sanctorum (eslavsanct.net) is designed as a complex heterogenous multimedia product. It is part of the project Encyclopaedia Slavica Sanctorum: Saints and Holy Places in Bulgaria (in electronic and Guthenberg versions). Until 2013, its web-based platform for online management and presentation of structured digital content has been prepared and numerous materials have been input. The platform is developed using the server technologies PHP, MySQL and HTML, JavaScript, CSS on the client side. The search in the e-ESS can be made by different parameters (12, or combinations of parameters), such as saints’ or feasts’ names, type of sainthood, types of texts dedicated to the saints, dates of saints’ commemorations, and several others. Both guests and registered users can search in the e-ESS but the latter have access to much more information including the publications of original sources. The e-platform allows for making statistics of what have been searched and read. The software used for content and access analysis is BI tool QlikView. As an analysis services provider, it is connected to the e-ESS objects repository and tracking services by a preliminary created data warehouse. The data warehouse is updated automatically, achieving real time analytics solution. The paper discusses some of the statistics results of the use of the e-ESS: the activities of the editors, users, and guests, the types of searches, the most often viewed object, such as the date of January 1 and the article on St. Basil the Great which is one of the richest encyclopaedia articles and includes both matadata and original sources published, both from medieval Slavonic manuscripts and popular culture records.

Analysis and Data Mining of Lead-Zinc Ore Data

This paper presents the results of our data mining study of Pb-Zn (lead-zinc) ore assay records from a mine enterprise in Bulgaria. We examined the dataset, cleaned outliers, visualized the data, and created dataset statistics. A Pb-Zn cluster data mining model was created for segmentation and prediction of Pb-Zn ore assay data. The Pb-Zn cluster data model consists of five clusters and DMX queries. We analyzed the Pb-Zn cluster content, size, structure, and characteristics. The set of the DMX queries allows for browsing and managing the clusters, as well as predicting ore assay records. A testing and validation of the Pb-Zn cluster data mining model was developed in order to show its reasonable accuracy before beingused in a production environment. The Pb-Zn cluster data mining model can be used for changes of the mine grinding and floatation processing parameters in almost real-time, which is important for the efficiency of the Pb-Zn ore beneficiation process. ACM Computing Classification System (1998): H.2.8, H.3.3.

Extreme Situations Prediction by MultidimenSional Heterogeneous Time Series Using Logical Decision Functions

* The work is supported by RFBR, grant 04-01-00858-a