"This paper deals with the description and comparison of successful prediction and robustness of data mining algorithms implemented in SQL Server 2008 R2. This study contains a summary of expertise gained in the study of predictive algorithms and during verification of their functionality. The work is based on the findings published in the MCTS Self-Paced Training Kit (Exam 70-448): Microsoft \u00AE SQL Server \u00AE 2008 - Business Intelligence Development and Maintenance and deals with the Microsoft Decision Trees Algorithm, Microsoft Naive Bayes Algorithm, Microsoft and Microsoft Clustering Algorithm Neural Network Algorithm. The main aim of this work was to verify published results and offer a comprehensive view of the prediction principles."@en . . . . . . "Popis a srovn\u00E1n\u00ED prediktivn\u00EDch Data Miningov\u00FDch algoritm\u016F SQL Serveru 2008 R2 \u2013 sumarizace odborn\u00FDch poznatk\u016F" . . . "159647" . "http://trilobit.fai.utb.cz/popis-a-srovnani-prediktivnich-data-miningovych-algoritmu-sql-serveru-2008-r2-sumarizace-odbornych-poznatku" . "Popis a srovn\u00E1n\u00ED prediktivn\u00EDch Data Miningov\u00FDch algoritm\u016F SQL Serveru 2008 R2 \u2013 sumarizace odborn\u00FDch poznatk\u016F"@cs . "S" . "[2CABC820AB85]" . "P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 popisem a srovn\u00E1n\u00EDm \u00FAsp\u011B\u0161nosti predikce a robustnosti Data Miningov\u00FDch algoritm\u016F implementovan\u00FDch vSQL Serveru 2008 R2. Tato pr\u00E1ce obsahuje sumarizaci odborn\u00FDch poznatk\u016F z\u00EDskan\u00FDch p\u0159i studiu prediktivn\u00EDch algoritm\u016F a ov\u011B\u0159en\u00ED jejich funk\u010Dnosti. Pr\u00E1ce vych\u00E1z\u00ED zpoznatk\u016F publikovan\u00FDch v MCTS Self-Paced Training Kit (Exam 70-448): Microsoft\u00AE SQL Server\u00AE 2008 - Business Intelligence Development and Maintenance a zab\u00FDv\u00E1 se Microsoft Decision Trees Algorithm, Microsoft Naive Bayes Algorithm, Microsoft Clustering Algorithm a Microsoft Neural Network Algorithm. C\u00EDlem pr\u00E1ce bylo ov\u011B\u0159it publikovan\u00E9 v\u00FDsledky a nab\u00EDdnout ucelen\u00FD pohled na principy predikce." . . . . "Popis a srovn\u00E1n\u00ED prediktivn\u00EDch Data Miningov\u00FDch algoritm\u016F SQL Serveru 2008 R2 \u2013 sumarizace odborn\u00FDch poznatk\u016F" . "P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 popisem a srovn\u00E1n\u00EDm \u00FAsp\u011B\u0161nosti predikce a robustnosti Data Miningov\u00FDch algoritm\u016F implementovan\u00FDch vSQL Serveru 2008 R2. Tato pr\u00E1ce obsahuje sumarizaci odborn\u00FDch poznatk\u016F z\u00EDskan\u00FDch p\u0159i studiu prediktivn\u00EDch algoritm\u016F a ov\u011B\u0159en\u00ED jejich funk\u010Dnosti. Pr\u00E1ce vych\u00E1z\u00ED zpoznatk\u016F publikovan\u00FDch v MCTS Self-Paced Training Kit (Exam 70-448): Microsoft\u00AE SQL Server\u00AE 2008 - Business Intelligence Development and Maintenance a zab\u00FDv\u00E1 se Microsoft Decision Trees Algorithm, Microsoft Naive Bayes Algorithm, Microsoft Clustering Algorithm a Microsoft Neural Network Algorithm. C\u00EDlem pr\u00E1ce bylo ov\u011B\u0159it publikovan\u00E9 v\u00FDsledky a nab\u00EDdnout ucelen\u00FD pohled na principy predikce."@cs . "Popis a srovn\u00E1n\u00ED prediktivn\u00EDch Data Miningov\u00FDch algoritm\u016F SQL Serveru 2008 R2 \u2013 sumarizace odborn\u00FDch poznatk\u016F"@cs . "1"^^ . "Data Mining, Predictive Algorithm, Business Intelligence, DBMS"@en . "RIV/70883521:28140/12:43868939" . "Description and comparison of predictive data mining algorithms, SQL Server 2008 R2 - summarization of expertise"@en . "Description and comparison of predictive data mining algorithms, SQL Server 2008 R2 - summarization of expertise"@en . . "RIV/70883521:28140/12:43868939!RIV13-MSM-28140___" . "\u017Dou\u017Eelkov\u00E1, Iveta" . . . . "28140" . . "1"^^ . .