Foundations of Intelligent Systems : 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings
معرفی کتاب «Foundations of Intelligent Systems : 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings» نوشتهٔ Marzena Kryszkiewicz, Annalisa Appice, Dominik Ślęzak, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Raś (eds.)، منتشرشده توسط نشر Springer International Publishing : Imprint : Springer در سال 1035. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
This book constitutes the proceedings of the 23 rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular and Soft Clustering for Data Science, Special Session on Knowledge Discovery with Formal Concept Analysis and Related Formalisms, and Special Session devoted to ISMIS 2017 Data Mining Competition on Trading Based on Recommendations, which was launched as a part of the conference. Front Matter....Pages I-XXIX Front Matter....Pages 1-1 Abductive Reasoning on Compliance Monitoring....Pages 3-16 Front Matter....Pages 17-17 Multi-levels 3D Chromatin Interactions Prediction Using Epigenomic Profiles....Pages 19-28 A Supervised Model for Predicting the Risk of Mortality and Hospital Readmissions for Newly Admitted Patients....Pages 29-36 An Expert System Approach to Eating Disorder Diagnosis....Pages 37-46 Multimodal System for Diagnosis and Polysensory Stimulation of Subjects with Communication Disorders....Pages 47-56 Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment....Pages 57-63 Front Matter....Pages 64-73 Selection of Initial Modes for Rough Possibilistic K-Modes Methods....Pages 75-75 On the Existence of Kernel Function for Kernel-Trick of k-Means....Pages 77-86 Using Network Analysis to Improve Nearest Neighbor Classification of Non-network Data....Pages 87-96 An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network....Pages 97-104 Front Matter....Pages 105-115 Continuous Embedding Spaces for Bank Transaction Data....Pages 116-126 Shallow Reading with Deep Learning: Predicting Popularity of Online Content Using only Its Title....Pages 127-127 Recurrent Neural Networks for Online Video Popularity Prediction....Pages 129-135 Front Matter....Pages 136-145 User-Based Context Modeling for Music Recommender Systems....Pages 146-153 Uncalibrated Visual Servo for the Remotely Operated Vehicle....Pages 155-155 Comparative Analysis of Musical Performances by Using Emotion Tracking....Pages 157-167 Automated Web Services Composition with Iterated Services....Pages 168-174 On the Gradual Acceptability of Arguments in Bipolar Weighted Argumentation Frameworks with Degrees of Trust....Pages 175-184 Front Matter....Pages 185-194 Automatic Defect Detection by Classifying Aggregated Vehicular Behavior....Pages 195-204 Automatic Speech Recognition Adaptation to the IoT Domain Dialogue System....Pages 155-155 Front Matter....Pages 205-214 Rule-Based Reasoning with Belief Structures....Pages 215-226 Combining Machine Learning and Knowledge-Based Systems for Summarizing Interviews....Pages 227-227 Validity of Automated Inferences in Mapping of Anatomical Ontologies....Pages 229-239 An Experiment in Causal Structure Discovery. A Constraint Programming Approach....Pages 240-250 Front Matter....Pages 251-260 Actively Balanced Bagging for Imbalanced Data....Pages 261-268 A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations....Pages 269-269 Robust Learning in Expert Networks: A Comparative Analysis....Pages 271-281 Efficient All Relevant Feature Selection with Random Ferns....Pages 282-291 Evaluating Difficulty of Multi-class Imbalanced Data....Pages 292-301 Extending Logistic Regression Models with Factorization Machines....Pages 302-311 Filtering Decision Rules with Continuous Attributes Governed by Discretisation....Pages 312-322 Front Matter....Pages 323-332 OptiLocator: Discovering Optimum Location for a Business Using Spatial Co-location Mining and Spatio-Temporal Data....Pages 333-343 Activity Recognition Model Based on GPS Data, Points of Interest and User Profile....Pages 345-345 Extended Process Models for Activity Prediction....Pages 347-357 Automatic Defect Detection by One-Class Classification on Raw Vehicle Sensor Data....Pages 358-367 Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites....Pages 368-377 “Serial” versus “Parallel”: A Comparison of Spatio-Temporal Clustering Approaches....Pages 378-384 Time-Frequency Representations for Speed Change Classification: A Pilot Study....Pages 385-395 Front Matter....Pages 396-403 Opinion Mining on Non-English Short Text....Pages 404-413 Pathway Computation in Models Derived from Bio-Science Text Sources....Pages 415-415 Semantic Enriched Short Text Clustering....Pages 417-423 Exploiting Web Sites Structural and Content Features for Web Pages Clustering....Pages 424-434 Concept-Enhanced Multi-view Co-clustering of Document Data....Pages 435-445 Front Matter....Pages 446-456 Scalable Framework for the Analysis of Population Structure Using the Next Generation Sequencing Data....Pages 457-467 Modification to K-Medoids and CLARA for Effective Document Clustering....Pages 469-469 Supporting the Page-Hinkley Test with Empirical Mode Decomposition for Change Detection....Pages 471-480 Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules....Pages 481-491 Time-Series Data Analytics Using Spark and Machine Learning....Pages 492-498 Front Matter....Pages 499-508 Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection....Pages 509-515 Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns....Pages 517-517 C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy....Pages 519-529 Multi-criteria Based Three-Way Classifications with Game-Theoretic Rough Sets....Pages 530-539 Front Matter....Pages 540-549 A Formal Context for Acyclic Join Dependencies....Pages 550-559 On Containment of Triclusters Collections Generated by Quantified Box Operators....Pages 561-561 The Inescapable Relativity of Explicitly Represented Knowledge: An FCA Perspective....Pages 563-572 Blocks of the Direct Product of Tolerance Relations....Pages 573-579 Viewing Morphisms Between Pattern Structures via Their Concept Lattices and via Their Representations....Pages 580-586 Front Matter....Pages 587-596 On-Demand Generation of AOC-Posets: Reducing the Complexity of Conceptual Navigation....Pages 597-608 Front Matter....Pages 609-609 From Meaningful Orderings in the Web of Data to Multi-level Pattern Structures....Pages 611-621 On Locality Sensitive Hashing for Sampling Extent Generators....Pages 609-609 An Application of AOC-Posets: Indexing Large Corpuses for Text Generation Under Constraints....Pages 622-631 On Neural Network Architecture Based on Concept Lattices....Pages 632-641 Query-Based Versus Tree-Based Classification: Application to Banking Data....Pages 642-652 Using Formal Concept Analysis for Checking the Structure of an Ontology in LOD: The Example of DBpedia....Pages 653-663 A Proposal for Classifying the Content of the Web of Data Based on FCA and Pattern Structures....Pages 664-673 Front Matter....Pages 674-683 ISMIS 2017 Data Mining Competition: Trading Based on Recommendations....Pages 684-694 Predicting Stock Trends Based on Expert Recommendations Using GRU/LSTM Neural Networks....Pages 695-695 Using Recommendations for Trade Returns Prediction with Machine Learning....Pages 697-707 Heterogeneous Ensemble of Specialised Models - A Case Study in Stock Market Recommendations....Pages 708-717 Algorithmic Daily Trading Based on Experts’ Recommendations....Pages 718-727 Back Matter....Pages 728-734 ....Pages 735-744
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