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Table of Contents
Preface; Organization; Conference Chairs; Conference Vice-Chair; International Program Committee; Organizing Committee Chair; Local Organizing Committee; Sponsoring Institutions; Contents; Part I Invited Papers; Cognitive Reasoning Framework: Possibilities, Problems, Prospects; 1 Introduction; 2 Cognizing Agent: General Scheme; 3 Modification Calculi and Modification Theories; 3.1 Syntax; 3.2 Semantics; 3.3 Calculus; 3.4 Modification Calculus; 4 Open Problems and Promising Areas of Research; References; A Survey of Current Challenges in Manufacturing Industry and Preparation for Industry 4.0.
1 Introduction2 Industry 4.0 and Future Manufacturing; 3 Research Methodology; 4 Current Challenges; 4.1 Data Integration; 4.2 Process Flexibility; 4.3 Security; 5 Future Scenarios and Initial Results; 5.1 Process Integration Within and Across Enterprise Boundaries; 5.2 Real-Time Information Access on Hand-Held Devices; 5.3 Predictive Maintenance; 6 Discussion and Suggestions; 7 Summary and Outlook; References; A Comparison of Stochastic and Fuzzy Orderings; 1 Introduction; 2 Stochastic and Fuzzy Orderings; 2.1 Stochastic Orderings; 2.2 Fuzzy Orderings.
3 A Comparison of Histograms by the Method of the Minimum Transformations4 Summary and Conclusion; References; Part II Data Mining and Knowledge Discovery in Intelligent Information and Control Systems; 4 Time Series Forecasting Using Combination of Exponential Models and Fuzzy Techniques; Abstract; 1 Introduction; 2 Overview of Time Series Modeling Methods; 2.1 Exponential Smoothing; 2.2 Integration of Fuzzy Modeling and Exponential Smoothing; 2.3 Reinhard Viertl Fuzzy Modeling; 2.4 Fuzzy Models Implementation (DSA); 2.5 Combinations and Collectives of Models; 3 Classification of Models.
4 Experiment Results5 Conclusion; References; 5 Time Series Knowledge Mining Based on Temporal Network Model; Abstract; 1 Introduction; 2 Problem Statement; 3 Temporal Network Model; 4 Example of Temporal Network; 5 Temporal Network Optimization; 6 Fuzzy Interpretation of Temporal Network; 7 Conclusions and Future Work; References; 6 Methods and Algorithms of Anomaly Searching in Collections of Time Series; Abstract; 1 Introduction; 2 The Problems of Processing Time Series; 3 Anomaly Detection Problem; 3.1 Problem Statement; 3.2 The Representation of Time Series.
3.3 The Algorithm of Anomaly Detection in Sets of Time Series4 Experimental Results for Anomaly Detection in Time Series; 5 Conclusion; References; 7 Web-Based System for Enterprise Performance Analysis on the Basis of Time Series Data Mining; Abstract; 1 Introduction; 2 Enterprise Performance Assessment; 3 Time Series Analysis by the F-Transform; 4 Time Series Decomposition; 5 Fuzzy Tendencies Forecasting; 6 Structure of Internet Service for Enterprise Performance Assessment; 7 Conclusion; References; 8 Feature Selection Using Semi Discrete Decomposition and Singular Value Decompositions.
1 Introduction2 Industry 4.0 and Future Manufacturing; 3 Research Methodology; 4 Current Challenges; 4.1 Data Integration; 4.2 Process Flexibility; 4.3 Security; 5 Future Scenarios and Initial Results; 5.1 Process Integration Within and Across Enterprise Boundaries; 5.2 Real-Time Information Access on Hand-Held Devices; 5.3 Predictive Maintenance; 6 Discussion and Suggestions; 7 Summary and Outlook; References; A Comparison of Stochastic and Fuzzy Orderings; 1 Introduction; 2 Stochastic and Fuzzy Orderings; 2.1 Stochastic Orderings; 2.2 Fuzzy Orderings.
3 A Comparison of Histograms by the Method of the Minimum Transformations4 Summary and Conclusion; References; Part II Data Mining and Knowledge Discovery in Intelligent Information and Control Systems; 4 Time Series Forecasting Using Combination of Exponential Models and Fuzzy Techniques; Abstract; 1 Introduction; 2 Overview of Time Series Modeling Methods; 2.1 Exponential Smoothing; 2.2 Integration of Fuzzy Modeling and Exponential Smoothing; 2.3 Reinhard Viertl Fuzzy Modeling; 2.4 Fuzzy Models Implementation (DSA); 2.5 Combinations and Collectives of Models; 3 Classification of Models.
4 Experiment Results5 Conclusion; References; 5 Time Series Knowledge Mining Based on Temporal Network Model; Abstract; 1 Introduction; 2 Problem Statement; 3 Temporal Network Model; 4 Example of Temporal Network; 5 Temporal Network Optimization; 6 Fuzzy Interpretation of Temporal Network; 7 Conclusions and Future Work; References; 6 Methods and Algorithms of Anomaly Searching in Collections of Time Series; Abstract; 1 Introduction; 2 The Problems of Processing Time Series; 3 Anomaly Detection Problem; 3.1 Problem Statement; 3.2 The Representation of Time Series.
3.3 The Algorithm of Anomaly Detection in Sets of Time Series4 Experimental Results for Anomaly Detection in Time Series; 5 Conclusion; References; 7 Web-Based System for Enterprise Performance Analysis on the Basis of Time Series Data Mining; Abstract; 1 Introduction; 2 Enterprise Performance Assessment; 3 Time Series Analysis by the F-Transform; 4 Time Series Decomposition; 5 Fuzzy Tendencies Forecasting; 6 Structure of Internet Service for Enterprise Performance Assessment; 7 Conclusion; References; 8 Feature Selection Using Semi Discrete Decomposition and Singular Value Decompositions.