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Business rule learning using data mining of GUHA association rules
Vojíř, Stanislav ; Strossa, Petr (advisor) ; Pour, Jan (referee) ; Kouba, Zdeněk (referee) ; Gregor, Jiří (referee)
In the currently highly competitive environment, the information systems of the businesses should not only effectively support the existing business processes, but also have to be dynamically adaptable to the changes in the environment. There are increasing efforts at separation of the application and the business logic in the information system. One of the appropriate instruments for this separation is the business rule approach. Business rules are simple, understandable rules. They can be used for the knowledge externalization and sharing also as for the active control and decisions within the business processes. Although the business rule approach is used for almost 20 years, the various specifications and practical applications of business rules are still a goal of the active research. The disadvantage of the business rule approach is great demands on obtaining of the rules. There has to be a domain expert, who is able to manually write them. One of the problems addressed by the current research is the possibility of (semi)automatic acquisition of business rules from the different resources - unstructured documents, historical data etc. This dissertation thesis addresses the problem of acquisition (learning) of business rules from the historical data of the company. The main objective of this thesis is to design and validate a method for (semi)automatic learning of business rules using the data mining of association rules. Association rule are a known data mining method for discovering of interesting relations hidden in the data. Association rules are comprehensible and explainable. The comprehensibility of association rules is suitable for the use of them for learning of business rules. For this purpose the user can use not only simple rules discovered using the algorithm Apriori or FP-Growth, but also more complex association rules discovered using the GUHA method. Within this thesis is used the procedure 4ft-Miner implemented in the data mining system LISp Miner. The first part of this thesis contains the description of the relevant topics from the research of business rules and association rules. Business rules is not a name of one specification of standard but rather a label of the approach to modelling of business logic. As part of the work there is defined a process of selection of the most appropriate specification of business rules for the selected practical use. Consequently, the author proposed three models of involving of data mining of association rules into business rule sets. These models contain also the definition of a model for the transformation of GUHA association rules in the business rules for the system JBoss Drools. For the possibility of learning of business rules using the data mining results from more than one data set, the author proposed a knowledge base. The knowledge base is suitable for the interconnection of business rules and data mining of association rules. From the perspective of business rules the knowledge base is a term dictionary. From the perspective of data mining the knowledge base contains some background knowledge for data preprocessing and preparation of classification models. The proposed models have been validated using practical implementations in the systems EasyMiner (in conjunction with JBoss Drools) and Erian. The thesis contains also a description of two model use cases based on real data from the field of marketing and the field of health insurance.
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Internet Tools for Lifelong Learning in the IT Sector
Janková, Martina ; Jašek, Roman (referee) ; Roudný, Radim (referee) ; Slabý, Antonín (referee) ; Rais, Karel (advisor)
In the presented dissertation, there is, based on a given topic “Internet tools for lifelong learning in the IT sector”, expressed an appropriate coverage of created partial research tasks with an active solution of them at the Faculty of Business and Management, Brno University of Technology for branch Company Management and Economics, and that in accordance with the defined areas of research and publication activities. For systemic approach to the whole dissertation, it was defined area of theoretical perspectives and expressed methodology for addressing systemic models of education on Internet means and for that practical research work was chosen adaptable (“learning”) Company 1 as a reference (for solving individual practical research tasks) and a methodology of modern approach to modelling was created (“for modern management and information communication between systems”) and also modelling of a required adaptable (“directly also improving with modelling”) Internet (and intranet) environment of companies and its use in the process of lifelong learning of knowledge workers (“teachers”) of Company 1 and possible additional (“knowledge workers and users”) Company 2, 3, ..., m i.e. “businesses as other customers” and all that to actively create an adaptable and new space with the possible use of an evolutionary (“new and also modern and intelligent and self-learning”) means of information and communication technologies (ICT) both from the world and from the Czech Republic and especially new (and evolutionary perspective) Internet tools and resources for business management, lifelong learning in IT sector and necessary monitoring of demanded company's competitiveness operating in dynamically developing IT. By systemically solved modelling on computers, there is expressed an issue of appropriately selected internet tools in a competitive environment of companies, and also there is addressed by computer modelling a new approach to modelling leading to an anticipated modernization of modern electronic lifelong learning forms built on tools and resources of the Internet. The work also includes a creation of models on PCs allowing comparison of expected changes in competitiveness of companies reacting to the benefits of created methodology and that leads to an anticipated improvement in the quality of management and economics of companies in terms of relative improvement of their competitiveness. Solving of these modern issues is conducted based on an appropriate analysis of selected enterprises, corresponding to the solved topic and solved objectives of the work and also obtained information from publications in world information sources on the Internet and from virtual libraries of the world, publishing, seminars, proceedings and conferences. The results of system analytical approach to solving tasks and activities of the research work have been regularly published in articles of professional and peer-reviewed journals and also in conference contributions. In these research results, there is systematically expressed a new essence of solving interface of social and IT technical system with selected resources of internet tools for lifelong learning companies working in IT sector as a possible contribution into modern creation of self-learning organizations.
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Proposal of The Knowledge Base Information System
Vavák, Lukáš ; Neuwirth, Bernard (referee) ; Dydowicz, Petr (advisor)
Bachelor’s thesis is focused to proposal of the knowledge base information system. It describes the methodics of information system proposal, define information requirements and its purpose in business communication. The results of own analysis brings the foundation for information system proposal which is based on user`s requirements and removes the main deficiency of current solution.
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Entity Knowledge Base Creation from Czech Wikipedia
Sychra, Martin ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to propose and implement a system for an automatic extraction of named entities from Czech Wikipedia, to create a knowledge base consisting of these entities and to evaluate results of the created system. The first part explains basic notions of this field and discusses related work. The main part proposes several methods of extraction and details their implementation. The following types of entities are extracted: people, places, events and organizations. The final part of the thesis presents results, i.e., the success of the individual methods for each entity type and statistics on extraction of the individual entities in the whole Czech Wikipedia context.
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Specifications Database of Security Protocols
Papež, Zdeněk ; Trchalík, Roman (referee) ; Očenášek, Pavel (advisor)
This bachelor's thesis is about the security protocols which are necessary for safe communication in the Internet. There are various kinds of security protocols in use but this work covers only selection of most important of them. I have tried to gather all available information and work them out into uniform database which can be used for further processing. In my opinion, main aid of this work is precise description of knowledge baseand prediction base of each protocol. Also all possible conditions and states are described. The end of part of this work sums up all concerned protocols into a user-friendly table which is used in web-side database accessible from the Internet.
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Diagnostic expert system
Mertlík, Tomáš ; Nagy, Ľuboš (referee) ; Karásek, Jan (advisor)
This paper refers to expert systems. Expert system is a computer program dedicated to giving an expert advice, decisions or recommending the best solution in a particular situation. This paper mentions four types of expert system which are commonly used in practice. Basic, additional and complementary components of expert systems are described. The practical part of this paper refers to the diagnostic problem of computer start based on expert system implemented in JAVA programming language and ECLIPSE IDE.
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Intelligent Fighting Units
Kužela, Martin ; Janeček, Petr (referee) ; Drahanský, Martin (advisor)
The field training of army units includes high financial, material and human resource investments. From this reason, an emphasis on the simulator training of these units arised recently. But the training in simulator needs to have the simulated units as intelligent as a human beings are, so the field training with real human opponents can be successfully replaced with the simulator training. This work deals with the design of fighting unit's intelligent behaviour, that will be applicable in the E-COM simulator environment. Work covers the description of intelligent agents and ways how to achieve their rational and autonomous behaviour. The proposal and the analysis of intelligent fighting unit's implementation and unit's communication with surrounding environment, basic implementation of this proposal and experiments with created implementation are also described in this work.
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Knowledge Management Support in the ALVAO System
Pramuka, Tomáš ; Rychlý, Marek (referee) ; Bartík, Vladimír (advisor)
This thesis is focused on knowledge management as seen in ITIL library. It includes analysis of knowledge management solutions: knowledge base in the Service Now system and actual solution of knowledge base in the ALVAO system. Furthermore, there is a design and implementation of an extension from knowledge base to knowledge management in the ALVAO system described. It has also been designed and implemented integration with the Microsoft SharePoint .
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