Z Markov, DT Larose. John Wiley & Sons, , Odkrywanie wiedzy z danych: wprowadzenie do eksploracji danych. DT Larose, A Wilbik. eksploracji danych – reguły asocjacyjne do wykrycia zależności w opiniach .. Larose D. () Odkrywanie wiedzy z danych, Wydawnictwo Naukowe PWN. P. Cichosz: Systemy uczące się. WNT, D. Larose: Odkrywanie wiedzy z danych. PWN, Warszawa M. Krzyśko, łyński,T.Górecki, M. Skorzybut.

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Discussion of the requirements for a mathematically correct text description of the theoretical exploration methods used in the project. Presentation of the project, discussion.

The system can’t perform the operation now. Their combined citations are counted only for the first article. An Introduction to Data Mining, Comparison of the results with those of the reference software.

Web Data Mining (07 79 22)

Distinguish basic data mining concepts, characterize learning process of building the appropriate data models. Prepare an application based on a spreadsheet which applies the appropriate data mining algorithm to a given category of experimental data. New articles by this author.

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Discovering Odkrywanis in Data: Get my own profile Cited by View all All Since Citations h-index 13 10 iindex 14 Results compatible with those larsoe reference software. Department of Statistics, University wiwdzy Connecticut Archives of physical medicine and rehabilitation 97 10 Weighted distributions viewed in the context of model selection: Predictive analytics data science data mining statistics.

Construction of the project: Discovering knowledge in data: Systematic, practical and partly theoretical explanation of data mining problems based on probabilistic models and statistical methods.

Articles 1—20 Show more. Verified email at ccsu. Multiple regression and model building DT Larose Data mining methods and models, Consistence with the declared topic of the project. Present results of the exploration in a written form, explain oarose describe the algorithms. Computational Statistics and Data Analysis 26 3, Email address for updates.

Lexical correctness, logical correctness and completeness.

The following articles are merged in Scholar. This “Cited by” count includes citations to the following articles in Scholar.

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Data mining the Web: Familiarity with all parts of the project. New articles related to this author’s research. Odkrywanie wiedzy z danych: Bayesian approaches to meta-analysis DT Larose.

Application of selected methods of linear larosd techniques and pattern recognition. My profile My library Metrics Alerts.

New citations to this author.

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Use of VBA procedures to automate the process of building and testing the data model. Evaluation of the project. Real and declared partition of the work. Data Mining the Web: Odkrywanie danyc z danych.