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ORCID23rd ISMIS 2017: Warsaw, Poland
- Marzena Kryszkiewicz, Annalisa Appice, Dominik Slezak
, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Ras:
Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings. Lecture Notes in Computer Science 10352, Springer 2017, ISBN 978-3-319-60437-4
Invited Paper
- Federico Chesani, Paola Mello, Marco Montali:
Abductive Reasoning on Compliance Monitoring - Balancing Flexibility and Regulation. 3-16
Bioinformatics and Health Informatics
- Ziad Al Bkhetan, Dariusz Plewczynski:
Multi-levels 3D Chromatin Interactions Prediction Using Epigenomic Profiles. 19-28 - Mamoun Al-Mardini, Zbigniew W. Ras:
A Supervised Model for Predicting the Risk of Mortality and Hospital Readmissions for Newly Admitted Patients. 29-36 - Stefano Ferilli, Anna Maria Ferilli, Floriana Esposito, Domenico Redavid, Sergio Angelastro:
An Expert System Approach to Eating Disorder Diagnosis. 37-46 - Adam Kurowski, Piotr Odya, Piotr Szczuko, Michal Lech, Pawel Spaleniak, Bozena Kostek, Andrzej Czyzewski:
Multimodal System for Diagnosis and Polysensory Stimulation of Subjects with Communication Disorders. 47-56 - Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama:
Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment. 57-63 - Przemyslaw Szurmak, Jan J. Mulawka:
New Method of Calculating ^SRCM Chirality Measure. 64-73
Data Mining Methods
- Asma Ammar, Zied Elouedi:
Selection of Initial Modes for Rough Possibilistic K-Modes Methods. 77-86 - Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama:
Accelerating Greedy K-Medoids Clustering Algorithm with L_1 Distance by Pivot Generation. 87-96 - Mieczyslaw A. Klopotek:
On the Existence of Kernel Function for Kernel-Trick of k-Means. 97-104 - Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy, Mikolaj Morzy:
Using Network Analysis to Improve Nearest Neighbor Classification of Non-network Data. 105-115 - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network. 116-126
Deep Learning
- Ali Batuhan Dayioglugil, Yusuf Sinan Akgul:
Continuous Embedding Spaces for Bank Transaction Data. 129-135 - Wojciech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk, Krzysztof Marasek, Przemyslaw Rokita:
Shallow Reading with Deep Learning: Predicting Popularity of Online Content Using only Its Title. 136-145 - Tomasz Trzcinski, Pawel Andruszkiewicz, Tomasz Bochenski, Przemyslaw Rokita:
Recurrent Neural Networks for Online Video Popularity Prediction. 146-153
Intelligent Information Systems
- Imen Ben Sassi, Sadok Ben Yahia, Sehl Mellouli:
User-Based Context Modeling for Music Recommender Systems. 157-167 - Chi-Cheng Cheng, Tsan-Chu Lu:
Uncalibrated Visual Servo for the Remotely Operated Vehicle. 168-174 - Jacek Grekow:
Comparative Analysis of Musical Performances by Using Emotion Tracking. 175-184 - Alfredo Milani, Rajdeep Niyogi:
Automated Web Services Composition with Iterated Services. 185-194 - Andrea Pazienza, Stefano Ferilli, Floriana Esposito:
On the Gradual Acceptability of Arguments in Bipolar Weighted Argumentation Frameworks with Degrees of Trust. 195-204 - Felix Richter, Oliver Hartkopp, Dirk C. Mattfeld:
Automatic Defect Detection by Classifying Aggregated Vehicular Behavior. 205-214 - Maciej Zembrzuski, Heesik Jeon, Joanna Marhula, Katarzyna Beksa, Szymon Sikorski, Tomasz Latkowski, Pawel Bujnowski:
Automatic Speech Recognition Adaptation to the IoT Domain Dialogue System. 215-226
Knowledge-Based Systems
- Lukasz Bialek, Barbara Dunin-Keplicz, Andrzej Szalas:
Rule-Based Reasoning with Belief Structures. 229-239 - Ángel Luís Garrido, Oscar Cardiel, Andrea Aleyxendri, Ruben Quilez:
Combining Machine Learning and Knowledge-Based Systems for Summarizing Interviews. 240-250 - Milko Krachunov, Peter Petrov, Maria Nisheva, Dimitar Vassilev:
Validity of Automated Inferences in Mapping of Anatomical Ontologies. 251-260 - Antoni Ligeza:
An Experiment in Causal Structure Discovery. A Constraint Programming Approach. 261-268
Machine Learning
- Jerzy Blaszczynski, Jerzy Stefanowski:
Actively Balanced Bagging for Imbalanced Data. 271-281 - Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse:
A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations. 282-291 - Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen:
Robust Learning in Expert Networks: A Comparative Analysis. 292-301 - Miron Bartosz Kursa:
Efficient All Relevant Feature Selection with Random Ferns. 302-311 - Mateusz Lango, Krystyna Napierala, Jerzy Stefanowski:
Evaluating Difficulty of Multi-class Imbalanced Data. 312-322 - Mark Pijnenburg, Wojtek Kowalczyk:
Extending Logistic Regression Models with Factorization Machines. 323-332 - Urszula Stanczyk:
Filtering Decision Rules with Continuous Attributes Governed by Discretisation. 333-343
Mining Temporal, Spatial and Spatio-Temporal Data
- Robert Bembenik, Jacek Szwaj, Grzegorz Protaziuk:
OptiLocator: Discovering Optimum Location for a Business Using Spatial Co-location Mining and Spatio-Temporal Data. 347-357 - Igor da Penha Natal, Rogerio de Avellar Campos Cordeiro, Ana Cristina Bicharra Garcia:
Activity Recognition Model Based on GPS Data, Points of Interest and User Profile. 358-367 - Stefano Ferilli, Floriana Esposito, Domenico Redavid, Sergio Angelastro:
Extended Process Models for Activity Prediction. 368-377 - Julia Hofmockel, Felix Richter, Eric Sax:
Automatic Defect Detection by One-Class Classification on Raw Vehicle Sensor Data. 378-384 - Yuki Yamagishi, Kazumi Saito:
Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites. 385-395 - Yongli Zhang, Sujing Wang, Amar Mani Aryal, Christoph F. Eick:
"Serial" versus "Parallel": A Comparison of Spatio-Temporal Clustering Approaches. 396-403 - Alicja Wieczorkowska, Elzbieta Kubera, Danijel Korzinek, Tomasz Slowik, Andrzej Kuranc:
Time-Frequency Representations for Speed Change Classification: A Pilot Study. 404-413
Text and Web Mining
- Esra Akbas:
Opinion Mining on Non-English Short Text. 417-423 - Troels Andreasen, Henrik Bulskov, Per Anker Jensen, Jørgen Fischer Nilsson:
Pathway Computation in Models Derived from Bio-Science Text Sources. 424-434 - Marek Kozlowski, Henryk Rybinski:
Semantic Enriched Short Text Clustering. 435-445 - Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci:
Exploiting Web Sites Structural and Content Features for Web Pages Clustering. 446-456 - Valentina Rho, Ruggero G. Pensa:
Concept-Enhanced Multi-view Co-clustering of Document Data. 457-467
Big Data Analytics and Stream Data Mining
- Anastasiia Hryhorzhevska, Marek S. Wiewiórka, Michal J. Okoniewski, Tomasz Gambin:
Scalable Framework for the Analysis of Population Structure Using the Next Generation Sequencing Data. 471-480 - Phuong T. Nguyen, Kai Eckert, Azzurra Ragone, Tommaso Di Noia:
Modification to K-Medoids and CLARA for Effective Document Clustering. 481-491 - Raquel Sebastião, José Maria Fernandes:
Supporting the Page-Hinkley Test with Empirical Mode Decomposition for Change Detection. 492-498 - Ricardo Teixeira Sousa, João Gama:
Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules. 499-508 - Patcharee Thongtra, Alla Sapronova:
Time-Series Data Analytics Using Spark and Machine Learning. 509-515
Granular and Soft Clustering for Data Science
- Agnieszka Chadzynska-Krasowska, Pawel Betlinski, Dominik Slezak:
Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection. 519-529 - Matthew Triff, Ilya Pavlovski, Zhixing Liu, Lori-Anne Morgan, Pawan Lingras:
Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns. 530-539 - Pingxin Wang, Xibei Yang, Yiyu Yao:
C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy. 540-549 - Yan Zhang, Jingtao Yao:
Multi-criteria Based Three-Way Classifications with Game-Theoretic Rough Sets. 550-559
Theoretical Aspects of Formal Concept Analysis
- Jaume Baixeries:
A Formal Context for Acyclic Join Dependencies. 563-572 - Dmitrii Egurnov, Dmitry I. Ignatov, Engelbert Mephu Nguifo:
On Containment of Triclusters Collections Generated by Quantified Box Operators. 573-579 - David W. Flater:
The Inescapable Relativity of Explicitly Represented Knowledge: An FCA Perspective. 580-586 - Christian Jäkel, Stefan E. Schmidt:
Blocks of the Direct Product of Tolerance Relations. 587-596 - Lars Lumpe, Stefan E. Schmidt:
Viewing Morphisms Between Pattern Structures via Their Concept Lattices and via Their Representations. 597-608
Formal Concept Analysis for Knowledge Discovery
- Alexandre Bazin, Jessie Carbonnel, Giacomo Kahn:
On-Demand Generation of AOC-Posets: Reducing the Complexity of Conceptual Navigation. 611-621 - Quentin Brabant, Miguel Couceiro, Amedeo Napoli, Justine Reynaud:
From Meaningful Orderings in the Web of Data to Multi-level Pattern Structures. 622-631 - Víctor Codocedo, My Thao Tang:
On Locality Sensitive Hashing for Sampling Extent Generators. 632-641 - Alain Gutierrez, Michel Chein, Marianne Huchard, Pierre Pompidor:
An Application of AOC-Posets: Indexing Large Corpuses for Text Generation Under Constraints. 642-652 - Sergei O. Kuznetsov, Nurtas Makhazhanov, Maxim Ushakov:
On Neural Network Architecture Based on Concept Lattices. 653-663 - Alexey Masyutin, Yury Kashnitsky:
Query-Based Versus Tree-Based Classification: Application to Banking Data. 664-673 - Pierre Monnin, Mario Lezoche, Amedeo Napoli, Adrien Coulet:
Using Formal Concept Analysis for Checking the Structure of an Ontology in LOD: The Example of DBpedia. 674-683 - Justine Reynaud, Mehwish Alam, Yannick Toussaint, Amedeo Napoli:
A Proposal for Classifying the Content of the Web of Data Based on FCA and Pattern Structures. 684-694
ISMIS 2017 Data Mining Competition on Trading Based on Recommendations
- Mathurin Aché, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski, Piotr Gawrysiak:
ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. 697-707 - Przemyslaw Buczkowski:
Predicting Stock Trends Based on Expert Recommendations Using GRU/LSTM Neural Networks. 708-717 - Ling Cen, Dymitr Ruta, Andrzej Ruta:
Using Recommendations for Trade Returns Prediction with Machine Learning. 718-727 - Michal Kozielski, Katarzyna Dusza, Józef Flakus, Krzysztof Kozlowski, Sebastian Musial, Bartlomiej Szwej:
Heterogeneous Ensemble of Specialised Models - A Case Study in Stock Market Recommendations. 728-734 - Andrzej Ruta, Dymitr Ruta, Ling Cen:
Algorithmic Daily Trading Based on Experts' Recommendations. 735-744
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