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ITRIA 2015. Computational Methods in Data Analysis
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1. 

ITRIA 2015. Computational Methods in Data Analysis, Spis treści

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2. 

Łącka, Hanna, On the Use of BOWA Operators in Cluster Analysis for Collaborative Filtering.

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3. 

Pawłowski, Michał, Modelling Spot Prices on the Polish Power Exchange.

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4. 

Ładyżyński, Paweł P., Modeling Vague Preferences in Recommender Systems.

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5. 

Sołtys, Michał, Boosting Techniques for Uplift Modelling.

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6. 

Jaroszewicz, Szymon, Geometric Approach to Stepwise Regression.

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7. 

Zaniewicz, Łukasz, Uplift Modelling Using Kernel Support Vector Machines.

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8. 

Kopka, Piotr, Approximate Bayesian Computation Methods in theLocalization of Atmospheric Contamination Sources in anUrban Area.

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9. 

Lorenc, Kamil, Modified Concentric Rings Trajectory (cCR) in Hyperpolarized 13C Magnetic Resonance Spectroscopy Imaging.

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10. 

Szymanowski, Hubert, Selection Consistency of GIC for Small-n-Large-p Sparse Logistic Regression Model.

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11. 

Tatjewski, Marcin, Distributional Proteomics: Modelling Amino Acid Relationships by Measuring Their Patterns of Statistical Occurrence Across Proteins.

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12. 

Pstraś, Leszek, Personalised Simulation of Haemodynamic Response to the Valsalva Manoeuvre.

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13. 

Zubek, Julian, Evaluating Multi-level Machine Learning Prediction of Protein-protein Interactions.

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14. 

Charzyńska, Agata, Review on Sensitivity Analysis in Biochemical Models.

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15. 

Cena, Anna, Clustering and Aggregation of Informetric Data Sets.

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