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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
Overall attention for this book and its chapters
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23 tweeters
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Title
Foundations of Intelligent Systems : 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-60438-1
ISBNs
978-3-31-960437-4, 978-3-31-960438-1
Editors

Marzena Kryszkiewicz, Annalisa Appice, Dominik Ślęzak, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Raś

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Bachelor 1 11%
Unknown 6 67%
Readers by discipline Count As %
Computer Science 2 22%
Engineering 1 11%
Unknown 6 67%