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Algorithm for Product Recommendation
Bodeček, Miroslav ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
The goal of this project is to explore the problem of product recommendations in the area of e-commerce and to evaluate known techniques, design product recommendation system for an existing e-commerce site, implement it and test it. This report introduces the problem, briefly examines current state of affairs in this area and defines requirements for a product recommendation module. The concept of data mining in general is introduced. The report proceeds to present detailed design corresponding to defined requirements and summarizes data gathered during testing phase. It concludes with evaluation and with discussion of the remaining goals for this thesis.
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Knowledge Discovery from Web Logs
Valaštín, Samuel ; Rychlý, Marek (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with the problem of knowledge discovery from web logs. The data source in the form of web access logs allows, after appropriate preprocessing, the use of a number of techniques that are designed to deal with knowledge discovery. By applying these techniques to preprocessed data, it is possible to classify user behavior into groups, to discover interesting associations in user behavior, or to discover previously unknown sequences in common user behavior.
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Multi-Level Association Rules Module of a Data Mining System
Pospíšil, Jan ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
This thesis focuses on the problematics of implementing a multilevel association rules mining module, for existing data mining project. There are two main algorithms explained, Apriori and MLT2L1. The thesis continues with the datamining module implementation, as well as the DMSL elements design. In the final chapters deal with an example dataminig task and its result comparison as well as the whole thesis achievement description.
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Data Mining on Oracle Database Server and MS SQL Server
Opršal, Martin ; Chmelař, Petr (referee) ; Stryka, Lukáš (advisor)
This bachelor's thesis deals with issue of knowledge discovery in databases. This document is focused in getting rules from relation databases based on Microsoft SQL server or Oracle Data mining server. The practical part of this document is about design applications that run on both servers. These applications are programmed in asp.NET, C# for Microsoft SQL server and Java for Oracle server.
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Knowledge Discovery from Web Logs
Vlk, Vladimír ; Očenášek, Pavel (referee) ; Bartík, Vladimír (advisor)
This master's thesis deals with creating of an application, goal of which is to perform data preprocessing of web logs and finding association rules in them. The first part deals with the concept of Web mining. The second part is devoted to Web usage mining and notions related to it. The third part deals with design of the application. The forth section is devoted to describing the implementation of the application. The last section deals with experimentation with the application and results interpretation.
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Information System of Paints Seller
Křenek, Tomáš ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
The aim of the thesis was to create a design and to implement an information system for paint surface treatment sellers. Implementation is carried out in the form of a web application in PHP using the Laravel framework. Simplicity and user-friendly design were emphasized due the system being used in a corporate environment. The main function of the system is order management, adding products to respective orders and selecting product packaging. Employees have the ability to view order dates in their Google Calendar client. The system also includes reporting sales statistics. Customers are advised goods based on processing of association rules.
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Association Rules Mining
Dvořák, Michal ; Chmelař, Petr (referee) ; Stryka, Lukáš (advisor)
The main goal of this bachelor's thesis is design and implementation of the application that provides a comparison of the performance and time consumption of given algorithms for mining of the frequent itemsets and the association rules. For demonstration, the mining algorithms Apriori, AprioriTIDList, AprioriItemSet and the method using FP-tree were chosen. The tests were executed over various amounts of data and with different minimum support and confidence values as well. The application was implemented in the object oriented language C# and the relational database provided by MS SQL Server 2008 is used as the data source.
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Methods for Mining Sequential Patterns
Fekete, Martin ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
Sequential pattern mining is a field of data mining with wide applications. Currently, there are a number of algorithms and approaches to the problem of sequential pattern mining. The aim of this work is to design and implement an application designed for sequential pattern mining and use it to experimentally compare the chosen algorithms. Experiments are performed with both synthetic and real databases. The output of the work is a summary of the advantages and disadvantages of each algorithm for different kinds of input databases and an application implementing the selected algorithms of the SPMF library.
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Methods for Mining Association Rules from Data
Uhlíř, Martin ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
The aim of this thesis is to implement Multipass-Apriori method for mining association rules from text data. After the introduction to the field of knowledge discovery, the specific aspects of text mining are mentioned. In the mining process, preprocessing is a very important problem, use of stemming and stop words dictionary is necessary in this case. Next part of thesis deals with meaning, usage and generating of association rules. The main part is focused on the description of Multipass-Apriori method, which was implemented. On the ground of executed tests the most optimal way of dividing partitions was set and also the best way of sorting the itemsets. As a part of testing, Multipass-Apriori method was compared with Apriori method.
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Opensource Solution of Electronic Sales Records with Warehousing and Portal for Customers
Švestka, Jakub ; Zendulka, Jaroslav (referee) ; Bartík, Vladimír (advisor)
The aim of this term project is to study web technologies for developing information systems, requirements analysis, a system design for selling goods which supports sales recording to electronic records of sales and stock recording. It also offers the customer portal for bills handover and customer support by a ticket system. The system design is based on already developed cash register and in comparison with it will be a more advanced and far more universal solution. The application is built on commonly available and free technologies, such as PHP 7.1 with Nette framework, CSS framework Bootstrap and jQuery. Very useful function of cash is the product suggester which is based on the Apriori algorithm. The suggester suggests products based on items from the actual opened bill and analysed receipts with previously purchased items. The complete solution will then be released to the public as an opensource, which does not exist yet.
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