1. THEORETICAL FUNDAMENTALS OF INDUCTIVE MODELLING
   1. Optimal complexity of inductive models, regularization, selection criteria
   • Elena Revunova Study Error Components for Solving the Inverse Problem Using Random Projections
   • Yuriy Dzyadyk Some Features of Akaike’s FPE Criterion
   2. Enhanced and optimized GMDH algorithms
   • Mingzhu Zhang, Changzheng He, Panos Liatsis A Two-Stage Combinatorial GMDH Algorithm for Forecasting
   • Volodymyr Stepashko, Oleksandra Bulgakova, Viacheslav Zosimov Modified Multilayered GMDH Algorithm with Combinatorial Optimization of Partial Descriptions Complexity
   • Sergey Zhyliaev Increasing Accuracy and Domain of Applicability for Statistical MULTI GDMH Algorithm
   3. Inductive algorithms for classification, clusterization, recognition
   • Alexey Polovinkin, Vladimir Martyanov, Victor Eruhimov Multiple Instance Learning With Gradient Boosting Trees
   • Alexander Sarychev, Lyudmyla Sarycheva GMDH-Based Criterion for Optimal Set Features Determination in Nonlinear Discriminant Analysis
   • Irina Borisova Calculation of FRiS-function over Mixed Dataset in the Task of Generalized Classification
   • Iurii Prokopchuk Model of Multilevel Pattern Sketches
   • Bekir Karlik, Vepa Atamuradov Principal Component Analysis (PCA) Based Face Recognition by Bayesian Classifier


2. NEW APPROACHES IN INDUCTIVE MODELLING
   1. Hybrid GMDH-type algorithms and neural networks
   • A. Kuleshov, A. Bernstein, E. Burnaev Adaptive Models of Complex Systems Based on Data Handling
   • Konstantin Petrov Identification of a Model of Individual Multifactor Estimation Using GMDH Element
   • Pavel Kordik, Jan Cerny Advanced Ensemble Strategies for Polynomial Models
   • Lytvynenko V.I., Bidjuk P.I., Rogalsky A.F., Fefelov A.A., Fedchuk V.A. Structural and Parametric Synthesis of Predictive RBF Neural Networks Using Artificial Immune Systems
   2. Fuzzy and interval approaches in inductive modeling
   • Yevgeniy Bodyanskiy , Olena Vynokurova , Jaroslav Sokolowskyy , Oleksandr Petryanych Adaptive Real Time Neo-Fuzzy Model of Non-Stationary Plant and Intelligent Controller Based on it
   • Nataliya Teslenko Signal Restoration under Uncertainty Conditions Based On Evolving F-Transform
   • Artem Dolotov, Iryna Pliss Spiking Neural Model for New Clusters Detection in Sequential Mode
   • Dmytro V. Stefanyshyn, Yulija D. Stefanyshyna A Method of Generating Fuzzy Sets from Homogeneous and Monotonous Time Series


3. REAL-WORLD APPLICATIONS OF INDUCTIVE MODELING
   1. Knowledge discovery workflow automation, automated data preprocessing
   • Galina Digo, Natalya Digo Approximation of Attainability Domain of Controllable Systems on the Basis of Inductive Approach
   • Alexander Borisov, Eugene Tuv Decision Tree Ensembles for Supervised Anomaly Detection
   • Miroslav Cepek, Pavel Kordik, Miroslav Snorek The Effect of Modelling Method to the Inductive Preprocessing Algorithm
   2. Time series analysis and prediction by means of inductive models
   • Nina Kondrashova, Andriy Pavlov Modified Algorithm with Orthogonalized Factors and its Application for Solving the Task of Space Weather Short-Term Forecast
   • Volodymyr Stepashko, Serhiy Yefimenko, Roman Voloschuk Investment Activity Prediction with the Use of Multiple Autoregression Models
   • Ievgeniia Savchenko, Gregory Ivakhnenko, Liudmyla Somina Forecasting Model Accuracy Enhancement Using Trend Extraction
   3. Real-world applications
   • Natalia Kussul, Yarema Zyelyk Disaster Risk Assessment Based on Geospatial Data
   • Ales Pilny, Pavel Kordik, Miroslav Snorek, Miroslav Cepek, Radka Kubelkova Application of Feature Selection Methods in Age Prediction
   • Viktor Artemenko Forecasting Indicators of Socio-Economic Development of a Region on the Basis of Neural Networks
   • Lytvynenko V.I, Bidjuk P.I., Bardachov J.N., Didyk A.A., Rogalsky F.B., Fefelov A.A., Shkurdoda S.V. Application of Clonal Algorithm for Synthesis of Collective Wavelet-Neural Networks to Solve the Problem of Mass Spectra Classifying
   • Nataliya Shcherbakova On the Analysis and Modelling Tools in Prospective Business Intelligence Systems