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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Automated contract classification for portal HlidacSmluv.cz
 Maroušek, Jakub ; Nečaský, Martin (advisor) ; Holub, Martin (referee)
The Contracts Register is a public database containing contracts concluded by public institutions. Due to the number of documents in the database, data analysis is proble- matic. The objective of this thesis is to find a machine learning approach for sorting the contracts into categories by their area of interest (real estate services, construction, etc.) and implement the approach for usage on the web portal Hlídač státu. A large number of categories and a lack of a tagged dataset of contracts complicate the solution. 1
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Efficient kNN classification of malware from HTTPS data
 Maroušek, Jakub ; Lokoč, Jakub (advisor) ; Galamboš, Leo (referee)
An important task of Network Intrusion Detection Systems (NIDS) is to detect malign com- munication in a computer network traffic. The traditional detection approaches which analyze the content of network packets, are becoming insufficient with an increased usage of encrypted HTTPS protocol. The previous research shows, however, that the high-level properties of HTTPS commu- nication such as the duration of a request or the number of bytes sent/received from the client to the server may be successfully used to detect behavioral patterns of malware activity. We study approximate k-NN similarity joins as one of the methods to build a classifier recognizing malign communication. Three MapReduce-based and one centralized approximate k-NN join methods are reimplemented in order to support large volumes of high-dimensional data. Finally, we thoroughly evaluate all methods on different datasets containing vectors up to 1000 dimensions and compare multiple aspects concerning scalability, approximation precision and classification precision of each approach.
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See also: similar author names
4 MAROUŠEK, Jan
5 MAROUŠEK, Josef
4 Maroušek, Jan
5 Maroušek, Josef
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