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Foundations of Intelligent Systems : 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings

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Cover of 'Foundations of Intelligent Systems : 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Abductive Reasoning on Compliance Monitoring
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    Chapter 2 Multi-levels 3D Chromatin Interactions Prediction Using Epigenomic Profiles
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    Chapter 3 A Supervised Model for Predicting the Risk of Mortality and Hospital Readmissions for Newly Admitted Patients
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    Chapter 4 An Expert System Approach to Eating Disorder Diagnosis
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    Chapter 5 Multimodal System for Diagnosis and Polysensory Stimulation of Subjects with Communication Disorders
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    Chapter 6 Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment
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    Chapter 7 New Method of Calculating $$^{SR}CM$$ Chirality Measure
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    Chapter 8 Selection of Initial Modes for Rough Possibilistic K-Modes Methods
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    Chapter 9 Accelerating Greedy K-Medoids Clustering Algorithm with $$L_1$$ Distance by Pivot Generation
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    Chapter 10 On the Existence of Kernel Function for Kernel-Trick of k-Means
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    Chapter 11 Using Network Analysis to Improve Nearest Neighbor Classification of Non-network Data
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    Chapter 12 An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network
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    Chapter 13 Continuous Embedding Spaces for Bank Transaction Data
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    Chapter 14 Shallow Reading with Deep Learning: Predicting Popularity of Online Content Using only Its Title
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    Chapter 15 Recurrent Neural Networks for Online Video Popularity Prediction
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    Chapter 16 User-Based Context Modeling for Music Recommender Systems
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    Chapter 17 Uncalibrated Visual Servo for the Remotely Operated Vehicle
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    Chapter 18 Comparative Analysis of Musical Performances by Using Emotion Tracking
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    Chapter 19 Automated Web Services Composition with Iterated Services
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    Chapter 20 On the Gradual Acceptability of Arguments in Bipolar Weighted Argumentation Frameworks with Degrees of Trust
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    Chapter 21 Automatic Defect Detection by Classifying Aggregated Vehicular Behavior
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    Chapter 22 Automatic Speech Recognition Adaptation to the IoT Domain Dialogue System
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    Chapter 23 Rule-Based Reasoning with Belief Structures
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    Chapter 24 Combining Machine Learning and Knowledge-Based Systems for Summarizing Interviews
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    Chapter 25 Validity of Automated Inferences in Mapping of Anatomical Ontologies
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    Chapter 26 An Experiment in Causal Structure Discovery. A Constraint Programming Approach
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    Chapter 27 Actively Balanced Bagging for Imbalanced Data
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    Chapter 28 A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations
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    Chapter 29 Robust Learning in Expert Networks: A Comparative Analysis
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    Chapter 30 Efficient All Relevant Feature Selection with Random Ferns
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    Chapter 31 Evaluating Difficulty of Multi-class Imbalanced Data
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    Chapter 32 Extending Logistic Regression Models with Factorization Machines
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    Chapter 33 Filtering Decision Rules with Continuous Attributes Governed by Discretisation
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    Chapter 34 OptiLocator: Discovering Optimum Location for a Business Using Spatial Co-location Mining and Spatio-Temporal Data
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    Chapter 35 Activity Recognition Model Based on GPS Data, Points of Interest and User Profile
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    Chapter 36 Extended Process Models for Activity Prediction
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    Chapter 37 Automatic Defect Detection by One-Class Classification on Raw Vehicle Sensor Data
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    Chapter 38 Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites
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    Chapter 39 “Serial” versus “Parallel”: A Comparison of Spatio-Temporal Clustering Approaches
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    Chapter 40 Time-Frequency Representations for Speed Change Classification: A Pilot Study
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    Chapter 41 Opinion Mining on Non-English Short Text
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    Chapter 42 Pathway Computation in Models Derived from Bio-Science Text Sources
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    Chapter 43 Semantic Enriched Short Text Clustering
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    Chapter 44 Exploiting Web Sites Structural and Content Features for Web Pages Clustering
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    Chapter 45 Concept-Enhanced Multi-view Co-clustering of Document Data
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    Chapter 46 Scalable Framework for the Analysis of Population Structure Using the Next Generation Sequencing Data
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    Chapter 47 Modification to K-Medoids and CLARA for Effective Document Clustering
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    Chapter 48 Supporting the Page-Hinkley Test with Empirical Mode Decomposition for Change Detection
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    Chapter 49 Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules
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    Chapter 50 Time-Series Data Analytics Using Spark and Machine Learning
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    Chapter 51 Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection
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    Chapter 52 Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns
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    Chapter 53 C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy
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    Chapter 54 Multi-criteria Based Three-Way Classifications with Game-Theoretic Rough Sets
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    Chapter 55 A Formal Context for Acyclic Join Dependencies
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    Chapter 56 On Containment of Triclusters Collections Generated by Quantified Box Operators
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    Chapter 57 The Inescapable Relativity of Explicitly Represented Knowledge: An FCA Perspective
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    Chapter 58 Blocks of the Direct Product of Tolerance Relations
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    Chapter 59 Viewing Morphisms Between Pattern Structures via Their Concept Lattices and via Their Representations
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    Chapter 60 On-Demand Generation of AOC-Posets: Reducing the Complexity of Conceptual Navigation
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    Chapter 61 From Meaningful Orderings in the Web of Data to Multi-level Pattern Structures
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    Chapter 62 On Locality Sensitive Hashing for Sampling Extent Generators
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    Chapter 63 An Application of AOC-Posets: Indexing Large Corpuses for Text Generation Under Constraints
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    Chapter 64 On Neural Network Architecture Based on Concept Lattices
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    Chapter 65 Query-Based Versus Tree-Based Classification: Application to Banking Data
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    Chapter 66 Using Formal Concept Analysis for Checking the Structure of an Ontology in LOD: The Example of DBpedia
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    Chapter 67 A Proposal for Classifying the Content of the Web of Data Based on FCA and Pattern Structures
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    Chapter 68 ISMIS 2017 Data Mining Competition: Trading Based on Recommendations
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    Chapter 69 Predicting Stock Trends Based on Expert Recommendations Using GRU/LSTM Neural Networks
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    Chapter 70 Using Recommendations for Trade Returns Prediction with Machine Learning
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    Chapter 71 Heterogeneous Ensemble of Specialised Models - A Case Study in Stock Market Recommendations
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    Chapter 72 Algorithmic Daily Trading Based on Experts’ Recommendations
Attention for Chapter 56: On Containment of Triclusters Collections Generated by Quantified Box Operators
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Chapter title
On Containment of Triclusters Collections Generated by Quantified Box Operators
Chapter number 56
Book title
Foundations of Intelligent Systems
Published by
Springer, Cham, June 2017
DOI 10.1007/978-3-319-60438-1_56
Book ISBNs
978-3-31-960437-4, 978-3-31-960438-1
Authors

Dmitrii Egurnov, Dmitry I. Ignatov, Engelbert Mephu Nguifo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Computer Science 3 100%