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Association Rules Mining over Data Warehouses
Hlavička, Ladislav ; Chmelař, Petr (referee) ; Stryka, Lukáš (advisor)
This thesis deals with association rules mining over data warehouses. In the first part the reader will be familiarized with terms like knowledge discovery in databases and data mining. The following part of the work deals with data warehouses. Further the association analysis, the association rules, their types and mining possibilities are described. The architecture of Microsoft SQL Server and its tools for working with data warehouses are presented. The rest of the thesis includes description and analysis of the Star-miner algorithm, design, implementation and testing of the application.
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Mining Multiple Level Association Rules
Nachtnebl, Viktor ; Stryka, Lukáš (referee) ; Bartík, Vladimír (advisor)
Knowledge discovery from data scope is quite a young concept but is becoming more and more popular. This bachelor's thesis is engaged in mining multiple level association rules. There are four different methods of investigation discussed. These offer an insight into the problem of concept and implementation of application. At the end we have confronted and reviewed the results of these four algorithms.
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Web Page Classification
Kolář, Roman ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This paper presents problem of automatic webpages classification using association rules based classifier. Classification problem is presented, as a one of datamining technique, in context of mining knowledges from text data. There are many text document classification methods presented with highlighting benefits of classification methods using association rules. The main goal of work is adjusting selected classification method for relation data and design draft of webpages classifier, which classifies pages with the aid of visual properties - independent section layout on the web page, not (only) by textual data. There is also ARC-BC classification method presented as a selected method and as one of intriguing classificators, that derives accuracy and understandableness benefits of all other methods.
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Data Mining in K2 Information System
Figura, Petr ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This project was originated by K2 atmitec Brno s.r.o. company. The result is data mining module in K2 information system environment. Engineered data module implements association analysis over the data of K2 information system data warehouse. Analyzed data contains information about sales filed in K2 information system. Module is implementing consumer basket analysis.
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Web Page Classification
Kolář, Roman ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This paper presents problem of automatic webpages classification using association rules based classifier. Classification problem is presented, as a one of datamining technique, in context of mining knowledges from text data. There are many text document classification methods presented with highlighting benefits of classification methods using association rules. The main goal of work is adjusting selected classification method for relation data and design draft of webpages classifier, which classifies pages with the aid of visual properties - independent section layout on the web page, not (only) by textual data. There is also ARC-BC classification method presented as a selected method and as one of intriguing classificators, that derives accuracy and understandableness benefits of all other methods.
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Mining Multiple Level Association Rules
Nachtnebl, Viktor ; Stryka, Lukáš (referee) ; Bartík, Vladimír (advisor)
Knowledge discovery from data scope is quite a young concept but is becoming more and more popular. This bachelor's thesis is engaged in mining multiple level association rules. There are four different methods of investigation discussed. These offer an insight into the problem of concept and implementation of application. At the end we have confronted and reviewed the results of these four algorithms.
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Association Rules Mining over Data Warehouses
Hlavička, Ladislav ; Chmelař, Petr (referee) ; Stryka, Lukáš (advisor)
This thesis deals with association rules mining over data warehouses. In the first part the reader will be familiarized with terms like knowledge discovery in databases and data mining. The following part of the work deals with data warehouses. Further the association analysis, the association rules, their types and mining possibilities are described. The architecture of Microsoft SQL Server and its tools for working with data warehouses are presented. The rest of the thesis includes description and analysis of the Star-miner algorithm, design, implementation and testing of the application.
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Association rule visualization in web environment
Škrabal, Radek ; Hazucha, Andrej (advisor) ; Kuchař, Jaroslav (referee)
The aim of this thesis is to implement a web interface for the LISp-Miner academic system which provides association rule mining capability. There is a new trend these days for knowledge discovery in databases applications which are being transformed from desktop applications to web applications and this arises both new opportunities and issues. This thesis describes new interactive approach for association rule mining in which the user is an essential part of the algorithm and can alter the task setting. Users can also collaborate by creating domain knowledge repository which helps finding new interesting information out of the data.
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Creation of interface for creating apriori association rules
Balhar, Jakub ; Kliegr, Tomáš (advisor) ; Hazucha, Andrej (referee)
This work aims at finding or creating web application, which allows user to easily create and edit constructs similar to association rules. I summarized and compared existing solutions in the first part and decided that none of these solutions meets the requirements of SEWEBAR project. In the second part I focus on the formats, used for communication with world outside the application and for communication betweeen parts of the applications. This is followed by definition of the web application, which I created and in the end of this part I explain in deep the architecture of the application. The resulting application is part of the SEWEBAR project, but it is written in the way, which makes it easy to deploy it to any other web projects, which needs to create or edit constructs similar to association rules. In the work I also cover possible configurations for this deployment.
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