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[null,null,"Titolo",null,"Artificial Intelligence and Soft Computing [[electronic resource] ] : 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-59060-X"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIV, 742 p. 247 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 10246"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Optical data processing"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Logic design"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Special purpose computers"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Algorithm Analysis and Problem Complexity"]
[{"$nulls":4},"Logic Design"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Special Purpose and Application-Based Systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Data Mining -- Computer Based Stylometric Analysis of Texts in Polish Language -- 1 Introduction -- 2 Features Used in Stylometry -- 3 Performed Stylometric Analysis -- 3.1 Data Sets and Classes -- 3.2 Feature Generation Methods -- 3.3 Classification -- 4 Results -- 4.1 Stylometric Features -- 4.2 Training Set Size -- 4.3 Classifiers Accuracy -- 4.4 Statistical Features Importance -- 4.5 Grammatical Classes Importance -- 5 Summary -- References -- Integration Base Classifiers Based on Their Decision Boundary -- 1 Introduction -- 2 Basic Concept -- 3 Proposed Method -- 4 Experimental Studies -- 5 "]
[{"$nulls":4},"Conclusion -- References -- Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm -- 1 Introduction -- 2 Incomplete Data Sets -- 3 Probabilistic Approximations -- 4 Rule Induction -- 4.1 True MLEM2 -- 4.2 Emulated MLEM2 -- 5 Experiments -- 6 Conclusions -- References -- Spark-Based Cluster Implementation of a Bug Report Assignment Recommender System -- 1 Introduction -- 2 Related Work -- 3 The Recommender System -- 3.1 Datasets -- 3.2 Cleansing -- 3.3 Preprocessing and Feature Reduction -- 3.4 Training the Recommender -- 3.5 Implementation -- 4 Results and Discussion -- 4.1 Results of Dimensionality Reduction Techniques -- 4.2 Choice of SVM Kernel -- 4.3 Comparison with Previous Approaches and Scalability -- 5 Conclusion -- References -- The Bag-of-Words Method with Dictionary Analysis by Evolutionary Algorithm -- 1 Introduction -- 2 Description of Proposed Methods -- 3 Experimental Research -- 4 Conclusions -- References -- The Novel Method of the Estimation of the Fourier Transform Based on Noisy Measurements -- 1 Introduction -- 2 Orthogonal Series Estimation of Regression Function and Its Spectrum."]
[{"$nulls":4},"3 Nonparametric Orthogonal Series Estimation of Fourier Transform -- 4 Simulation Example -- 5 Remarks and Extensions -- References -- A Complete Efficient FFT-Based Algorithm for Nonparametric Kernel Density Estimation -- 1 Introduction -- 2 Problem Demonstration -- 3 The Improved FFT-Based Algorithm for Density Estimation -- 4 Binning -- 5 Experiments -- 6 Conclusions -- References -- A Framework for Business Failure Prediction -- 1 Introduction -- 2 Related Work -- 3 The Dataset and the Proposed Framework -- 3.1 Details of Dataset -- 3.2 Proposed Framework -- 4 Performance Evaluation Results -- 5 Conclusions -- References -- Fuzzy Clustering with -Hyperballs and Its Application to Data Classification -- 1 Introduction -- 2 Fuzzy Clustering with -Hyperballs -- 3 FCH Based Classification -- 4 Results and Discussion -- 5 Conclusions -- References -- Two Modifications of Yinyang K-means Algorithm -- 1 Introduction -- 2 Yinyang K-means -- 3 Modifications of the Algorithm -- 3.1 Regrouping of Centroids -- 3.2 Initial Grouping and Regrouping Using Same-Size K-means -- 4 Experimental Results -- 5 Conclusions -- References -- Detection of the Innovative Logotypes on the Web Pages -- 1 Introduction -- 2 Related Works vs. Proposed Approach -- 3 Problem Description -- 4 System for Detection of Innovative Logotypes -- 4.1 System Overview -- 4.2 Learning Phase -- 5 Evaluation -- 5.1 Experiments and Their Results -- 6 Conclusion -- References -- Extraction and Interpretation of Textual Data from Czech Insolvency Proceedings -- 1 Introduction -- 2 Related Works -- 2.1 Document Classification -- 2.2 Clustering of Text Documents -- 2.3 Cluster Validity and Semantics Assignment -- 3 Document Pre-processing -- 4 Supporting Experiments -- 4.1 The First Set of Experiments - Inference of Creditors' Names -- 4.2 The Second Set of Experiments - Debt Structure and Origin."]
[{"$nulls":4},"5 Conclusions -- References -- Spectral Clustering for Cell Formation with Minimum Dissimilarities Distance -- Abstract -- 1 Introduction -- 2 Spectral Clustering and Cell Formation -- 2.1 Spectral Clustering -- 2.2 Cell Formation -- 2.3 A p-Median Problem -- 3 The Proposed Algorithm -- 4 Experimental Results -- 5 Conclusions -- References -- Exercise Recognition Using Averaged Hidden Markov Models -- 1 Introduction -- 2 HMM - Based Activity Models -- 3 Child Models -- 3.1 Sequences Concatenation Algorithm -- 3.2 Model Creation -- 4 Averaged HMM Activity Models -- 5 Action Recognition -- 6 Experiments and Results -- 7 Conclusions and Future Work -- References -- A Study of Cluster Validity Indices for Real-Life Data -- 1 Introduction -- 2 A New Cluster Validity Index -- 3 Experiments -- 3.1 "]
[{"$nulls":4},"Real-Life Data Sets -- 3.2 Comparison of Validity Indices -- 4 Conclusions -- References -- Improvement of the Validity Index for Determination of an Appropriate Data Partitioning -- 1 Introduction -- 2 Improvement of the Silhouette Index -- 2.1 The Detail Description of the Silhouette Index -- 2.2 Modification of the Silhouette Index -- 2.3 Remarks -- 3 Experimental Results -- 3.1 Data Sets -- 4 Conclusions -- References -- Stylometric Features for Authorship Attribution of Polish Texts -- 1 Introduction -- 2 Related Works -- 3 Datasets -- 4 Features -- 4.1 Part of Speech Tags -- 4.2 POS Bigrams -- 4.3 Function Words -- 5 Experiments -- 5.1 Comparison of Classifier Performance -- 5.2 Feature Selection: Sets of Attributes -- 5.3 Feature Selection: Individual Attributes -- 6 Conclusions -- References -- Handwriting Recognition with Extraction of Letter Fragments -- 1 Introduction -- 2 Preprocessing -- 3 Strokes Extraction -- 4 Strokes Classification -- 5 Pattern Search -- 6 Construction of Text Variants -- 7 Experimental Results -- 8 Conclusion -- References."]
[{"$nulls":4},"Multidimensional Signal Transformation Based on Distributed Classification Grid and Principal Component Analysis -- 1 Introduction -- 2 Description of the Algorithm -- 3 Spectral Analysis and Estimation Method -- 4 Time-Frequency Analysis -- 5 Results -- 5.1 Procedure Description -- 5.2 Classification Results -- 5.3 Testable Classification Grid - Network Efficiency -- 5.4 Graphs of Results -- 6 Conclusions -- References -- Artificial Intelligence in Modeling, Simulation and Control -- The Concept on Nonlinear Modelling of Dynamic Objects Based on State Transition Algorithm and Genetic Programming -- 1 Introduction -- 2 State Transition Algorithm -- 3 Nonlinear Modelling with State Transition Algorithm and Genetic Programming -- 3.1 Nonlinear Modelling with the State Transition Algorithm -- 3.2 Simplifying Model with the Genetic Programming Paradigm -- 4 Simulation Results -- 5 Conclusions -- References -- A Method for Non-linear Modelling Based on the Capabilities of PSO and GA Algorithms -- 1 Introduction -- 2 Approximate Modeling of the Nonlinear Dynamic Object -- 3 Fuzzy Modeling of the Identified Parameters -- 4 Online Identification of the Operating Point -- 5 The Permanent Magnet Synchronous Motor -- 6 Experimental Results -- 7 Conclusions -- References -- Linguistic Habit Graphs Used for Text Representation and Correction -- 1 Introduction -- 2 Linguistic Habit Graphs -- 3 Associative Text Correction Methods -- 3.1 Checking Punctuation in Sentences -- 3.2 Semi--automatic Text Correction Methods -- 3.3 Comparison of the Text Correction Methods -- 4 Summary and Conclusion -- References -- Dynamic Epistemic Preferential Logic of Action -- 1 Introduction -- 1.1 Paper Motivation -- 1.2 The Paper Objectives and Paper Organization -- 2 Preliminaries -- 2.1 Traveling Salesman Problem as a Motivating Problem -- 3 Multi-Valued Preferential Logic (MVPL)."]
[{"$nulls":4},"3.1 Interval-Based Semantics for MVPL -- 4 Dynamic Epistemic Logic for Actions -- 4.1 Syntax and Semantics of DELA -- 5 DEPLA for Actions and Preferences -- 5.1 Fibring Interval-Based Semantics for DEPLA -- 6 Fibring Semantics in Use -- 7 Concluding Remarks and Possible Research Areas -- References -- Proposal of a Multi-agent System for a Smart Outdoor Lighting Environment -- 1 Introduction -- 2 Smart Lighting Scenarios -- 3 Multi-agent System for Outdoor Lighting -- 4 Simulation Environment -- 5 Conclusions -- References -- Understanding Human Behavior in Intelligent Environments: A Context-Aware System Supporting Mountain Rescuers -- 1 Introduction -- 2 Preliminaries -- 2.1 Babia Góra -- 2.2 Basic Nomenclature -- 2.3 Towards Context Reasoning -- 3 System Description -- 3.1 Uses Cases for the System -- 3.2 Algorithms and Activities for the System -- 3.3 Reasoning -- 4 Conclusion -- "]
[{"$nulls":4},"References -- TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports -- 1 Introduction -- 2 Problem Definition -- 3 Model Description -- 4 Experiments -- 4.1 NBA Dataset -- 4.2 Training of Our Model -- 4.3 Evaluation Metrics -- 4.4 Comparing to Other Predictive Models -- 4.5 Benefits of Getting Winning Probability -- 5 Conclusion and Future Work -- References -- Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction -- 1 Introduction -- 2 PID Controllers, Fuzzy Systems and Filters -- 2.1 PID Controllers -- 2.2 Fuzzy Systems -- 2.3 Filters -- 3 Description of Proposed Controller Structure -- 3.1 Filtration Layer -- 3.2 PID Layer -- 3.3 Normalization Layer -- 3.4 Inference Layer -- 4 Description of Designing Method of Proposed Controller -- 4.1 Encoding of the Individuals -- 4.2 Processing of the Individuals -- 5 Simulations -- 5.1 Simulation Problem -- 5.2 Simulation Parameters."]
[{"$nulls":4},"5.3 Simulation Results."]
[null,null,null,"Sommario/riassunto","The two-volume set LNAI 10245 and LNAI 10246 constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017, held in Zakopane, Poland in June 2017. The 133 revised full papers presented were carefully reviewed and selected from 274 submissions. The papers included in the second volume are organized in the following five parts: data mining; artificial intelligence in modeling, simulation and control; various problems of artificial intelligence; special session: advances in single-objective continuous parameter optimization with nature-inspired algorithms; special session: stream data mining."]