ISMIS 2017 Program
ISMIS 2017 Conference ProgramMonday, 26.06.2017
| 8:30-9:10 | Registration | |
| 9:10-9:30 | 133ISMIS 2017 Opening | |
| 9:30-10:30 | 133
Plenary talk 1 (Chair: Annalisa Appice) Professor Paola Mello Abductive Reasoning on Compliance: a balance between flexibility and regulation |
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| 10:30-11:30 | 133
Plenary talk 2 (Chair: Marzena Kryszkiewicz) Professor Osmar R. Zaïane Classification by Association |
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| 11:30-11:50 | Coffee break | |
| 11:50-13:10 | 133Machine Learning I Chair: Andrzej Skowron |
118Big Data Analytics and Stream Data Mining Chair: Martin Atzmueller |
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| Actively Balanced Bagging for Imbalanced Data, Jerzy Błaszczynski and Jerzy Stefanowski |
Scalable framework for the analysis of population structure using the next generation sequencing data, Anastasiia Hryhorzhevska, Marek Wiewiórka, Michał Okoniewski and Tomasz Gambin |
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| A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations, Patrick G. Clark, Cheng Gao and Jerzy W. Grzymala-Busse |
Modification to K-Medoids and CLARA for Effective Document Clustering, Phuong T. Nguyen, Kai Eckert, Azzurra Ragone and Tommaso Di Noia |
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| Robust Learning in Expert Networks: A Comparative Analysis, Ashiqur Khudabukhsh, Jaime Carbonell and Peter Jansen |
Co-training semi-supervised learning for single-target regression in data streams using AMRules, Ricardo Sousa and João Gama |
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| Efficient all relevant feature selection with Random Fern, Miron B. Kursa |
Time-series Data Analytics Using Spark and Machine Learning, Patcharee Thongtra and Alla Sapronova |
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| 13:10-14:40 | Lunch | |
| 14:40-16:00 | 133Knowledge-Based Systems Chair: Henryk Rybinski |
118Granular and Soft Clustering for Data Science Chair: Pawan Lingras |
| Rule-based Reasoning with Belief Structures, Lukasz Bialek, Barbara Dunin-Keplicz and Andrzej Szałas |
Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection, Agnieszka Chadzynska-Krasowska, Paweł Betlinski and Dominik Slezak |
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| Combining Machine Learning and Knowledge-Based Systems for Summarizing Interviews, Angel Luis Garrido, Oscar Cardiel, Andrea Aleyxendri and Ruben Quilez |
Clustering ensemble for prioritized sampling based on average and rough patterns, Matt Triff, Ilya Pavlovski, Zhixing Liu, Lori-Anne Morgan and Pawan Lingras |
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| Validity of Automated Inferences in Mapping of Anatomical Ontologies, Milko Krachunov, Peter Petrov, Maria Nisheva and Dimitar Vassilev |
C&E Re-clustering: Reconstruction of Clustering Results by Three-way Strategy, Pingxin Wang, Xibei Yang and Yiyu Yao |
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| An Experiment in Causal Structure Discovery. A Constraint Programming Approach, Antoni Ligeza |
Multi-criteria based Three-way Classifications with Game-theoretic Rough Sets, Yan Zhang and Jingtao Yao |
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| 20:00-23:00 | Welcome reception | |
Tuesday, 27.06.2017
| 9:00-10:00 | 133Plenary talk 3 (Chair: Zbigniew Raś) Professor Marek Rusinkiewicz Security of Cyber-Physical Systems |
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| 10:00-11:00 | 133Machine Learning II Chair: Hiroshi Motoda |
118Bioinformatics and Health Informatics I Chair: Tomasz Gambin |
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| Pathway Computation in Models Derived from Bio-Science Text Sources, Troels Andreasen, Henrik Bulskov, Per Anker Jensen and Jørgen Fisher Nilsson |
Multi-Level 3D Chromatin Interactions Prediction using Epigenomic Profiles, Ziad Al Bkhetan and Dariusz Plewczynski |
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| Extending Logistic Regression Models with Factorization Machines, Mark Pijnenburg and Wojtek Kowalczyk |
A Supervised Model for Predicting the risk of Mortality and Hospital Readmissions for Newly Admitted Patients, Mamoun Almardini and Zbigniew W. Ras |
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| Evaluating difficulty of multi-class imbalanced data, Mateusz Lango, Krystyna Napierała and Jerzy Stefanowski |
An Expert System Approach to Eating Disorder Diagnosis, Stefano Ferilli, Anna Maria Ferilli, Floriana Esposito, Domenico Redavid and Sergio Angelastro |
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| 11:00-11:20 | Coffee break | |||
| 11:20-13:00 | 133Data Mining Methods Chair: Tadeusz Morzy |
118Theoretical Aspects of Formal Concept Analysis Chair: Sergei O. Kuznetsov |
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| Selection of Initial Modes for Rough Possibilistic K-Modes Methods, Asma Ammar and Zied Elouedi |
A Formal Context for Acyclic Join Dependencies, Jaume Baixeries |
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| Accelerating Greedy K-medoids Clustering Algorithm with L1 Distance by Pivot Generation, Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda and Kazuhiro Kazama |
On Containment of Triclusters Collections Generated by Quantified Box Operators, Dmitrii Egurnov, Dmitry Ignatov and Engelbert Mephu Nguifo |
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| On the Existence of Kernel Function for Kernel-Trick of k-Means, Mieczysław Kłopotek |
The inescapable relativity of explicitly represented knowledge: an FCA perspective, David Flater |
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| Using Network Analysis to Improve Nearest Neighbor Classification of Non-Network Data, Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy and Mikolaj Morzy |
Blocks of the Direct Product of Tolerance Relations, Christian Jaekel and Stefan Schmidt |
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| An Accurate and Efficient method to Detect Critical Links to Maintain Information Flow in Network, Kazumi Saito, Kouzou Ohara, Masahiro Kimura and Hiroshi Motoda |
Viewing Morphisms Between Pattern Structures via Their Concept Lattices and via Their Representations, Lars Lumpe and Stefan Schmidt |
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| 13:00-14:30 | Lunch | |||
| 14:30-15:30 | 133Intelligent Information Systems I Chair: Alicja Wieczorkowska |
118Bioinformatics and Health Informatics II Chair: Dariusz Plewczynski |
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| User-based Context Modeling for Music Recommender Systems, Imen Ben Sassi, Sadok Ben Yahia and Sehl Mellouli |
Multimodal system for diagnosis and polysensory stimulation of subjects with communication disorders, Adam Kurowski, Piotr Odya, Piotr Szczuko, Michał Lech, Paweł Spaleniak, Bozena Kostek and Andrzej Czyzewski |
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| Comparative Analysis of Musical Performances by Using Emotion Tracking, Jacek Grekow |
Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment, Ana Nogueira, Carlos Ferreira and Jo˜ao Gama |
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| On the Gradual Acceptability of Arguments in Bipolar Weighted Argumentation Frameworks with Degrees of Trust, Andrea Pazienza, Stefano Ferilli and Floriana Esposito |
New Method of Calculating SRCM Chirality Measure, Przemysław Szurmak and Jan Mulawka |
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| 16:10 | Guided tour | |||
Wednesday, 28.06.2017
| 9:00-10:00 | 133Plenary talk 4 (Chair: Dominik Ślęzak) Professor Perfecto Herrera Boyer Elements of musical intelligence for the next generation of digital musical tools |
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| 10:00-11:00 | 133Deep Learning Chair: Antoni Ligęza |
118Formal Concept Analysis for Knowledge Discovery I Chair: Amedeo Napoli |
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| Continuous Embedding Spaces for Bank Transaction Data, Ali Batuhan Day˙io˘glugil and Yusuf Sinan Akgul |
On-demand Generation of AOC-posets: Reducing the Complexity of Conceptual Navigation, Alexandre Bazin, Jessie Carbonnel and Giacomo Kahn |
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| Shallow reading with Deep Learning: Predicting popularity of online content using only its title, Wojciech Stokowiec, Tomasz Trzcinski, Krzysztof Wołk, Krzysztof Marasek and Przemysław Rokita |
From meaningful orderings in the web of data to multi-level pattern structures, Quentin Brabant, Miguel Couceiro, Amedeo Napoli and Justine Reynaud |
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| Recurrent Neural Networks for Online Video Popularity Prediction, Tomasz Trzcinski, Paweł Andruszkiewicz, Tomasz Bochenski and Przemysław Rokita |
On Locality Sensitive Hashing for Sampling Extent Generators, Victor Codocedo and My Thao Tang |
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| 11:00-11:20 | Coffee break | |
| 11:20-13:00 | 133Mining Temporal, Spatial and Spatio-Temporal Data I Chair: Christoph F. Eick |
118Formal Concept Analysis for Knowledge Discovery II Chair: Jaume Baixeries |
| OptiLocator: Discovering Optimum Location for a Business Using Spatial Co-location Mining and Spatio-Temporal Data, Robert Bembenik, Jacek Szwaj and Grzegorz Protaziuk |
An application of AOC-posets: Indexing large corpuses for text generation under constraints, Alain Gutierrez, Michel Chein, Marianne Huchard and Pierre Pompidor |
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| Activity Recognition Model Based on GPS Data, Points of Interest and User profile, Igor Da Penha Natal, Rogerio Cordeiro and Ana Cristina Bicharra Garcia |
On Neural Networks Architecture Based on Concept Lattices, Sergei O. Kuznetsov, Nurtas Makhazhanov and Maxim Ushakov |
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| Extended Process Models for Activity Prediction, Stefano Ferilli, Floriana Esposito, Domenico Redavid and Sergio Angelastro |
Query-based versus tree-based classification: application to banking data, Alexey Masyutin and Yury Kashnitsky |
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| Automatic Defect Detection by One-Class Classification on Raw Vehicle Sensor Data, Julia Hofmockel, Felix Richter and Eric Sax |
Using Formal Concept Analysis for Checking the Structure of an Ontology in LOD: the Example of DBpedia, Pierre Monnin, Mario Lezoche, Amedeo Napoli and Adrien Coulet |
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| Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites, Yuki Yamagishi and Kazumi Saito |
A Proposal for Classifying the Content of the Web of Data Based on FCA and Pattern Structures, Justine Reynaud, Mehwish Alam, Yannick Toussaint and Amedeo Napoli |
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| 13:00-14:30 | Lunch | |
| 14:30-16:10 | 133Mining Temporal, Spatial and Spatio-Temporal Data II Chair: Łukasz Skonieczny |
118ISMIS 2017 Data Mining Competition on Trading Based on Recommendations Chairs: Andrzej Janusz and Kamil Żbikowski |
| Time-Frequency Representations for Speed Change Classification: a Pilot Study, Alicja Wieczorkowska, Elzbieta Kubera, Danijel Korzinek, Tomasz Slowik and Andrzej Kuranc |
ISMIS 2017 Data Mining Competition: Trading Based on Recommendations, Mathurin Ache, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski and Piotr Gawrysiak |
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| ”Serial” versus ”Parallel”: a Comparison of Spatio-temporal Clustering Approaches, Yongli Zhang, Sujing Wang, Amar Mani Aryal and Christoph F. Eick |
Predicting stock trends based on expert recomendations using GRU/LSTM neural networks, Przemysław Buczkowski |
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| Supporting the Page-Hinkley Test with Empirical Mode Decomposition for Change Detection, Raquel Sebastião and José Maria Fernandes |
Using Recommendations for Trade Returns Prediction with Machine Learning, Ling Cen, Dymitr Ruta and Andrzej Ruta |
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| Heterogeneous ensemble of specialised models - a case study in stock market recommendations, Heterogeneous ensemble of specialised models - a case study in stock market recommendations, Michał Kozielski, Katarzyna Dusza, Józef Flakus, Krzysztof Kozłowski, Sebastian Musiał and Bartłomiej Szwej |
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| Algorithmic daily trading based on experts’ recommendations, Andrzej Ruta, Dymitr Ruta and Ling Cen |
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| 19:30-23:30 | Gala dinner | |
Thursday, 29.06.2017
| 9:00-11:00 | 133Industrial Session I (Data Mining) Chair: Robert Bembenik |
118Industrial Session II (Complex Systems) Chair: Konrad Ciecierski |
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| ISMIS’17 Data Mining Competition: TradingBased on Recommendations - XGBoost approach with feature engineering, Katarzyna Baraniak |
Automatic Legal Document Analysis: Improving the Results of Information Extraction Processes using an Ontology, María G. Buey, Cristian Román, Angel Luis Garrido, Carlos Bobed and Eduardo Mena |
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| An HMM-Based Framework for Supporting Accurate Classification of Music Datasets, Alfredo Cuzzocrea, Enzo Mumolo and Gianni Vercelli |
High Performance Computing By The Crowd, Nunziato Cassavia, Sergio Flesca, Michele Ianni, Elio Masciari, Giuseppe Papuzzo and Chiara Pulice |
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| Classification of musical genres by means of listening tests and decision algorithms, Aleksandra Dorochowicz, Piotr Hoffmann, Bozena Kostek and Agata Majdańczuk |
Zero-overhead monitoring of remote terminal devices, Jerzy Chrząszcz |
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| Fast Discovery of Generalized Sequential Patterns, Marzena Kryszkiewicz and Łukasz Skonieczny |
Asynchronous Specification of Production Cell Benchmark in Integrated Model of Distributed Systems, Wiktor Daszczuk |
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| Seismic attributes similarity in facies classification, Marcin Lewandowski and Łukasz Słonka |
Implementing the Bus Protocol of a Microprocessor in a Software-Defined Computer, Grzegorz Mazur and Julia Kosowska |
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| Redefinition of Significance Measures Used for Discovering Sequential Patterns from Event-Based Spatio-Temporal Data, Piotr S. Maciąg |
Event processing and analytics in SOA architecture for Real Time Financial Decision System, Dominik Ryżko and Paweł Gławiński |
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| 11:00-11:20 | Coffee break | |
| 11:20-13:00 | 133Text and Web Mining Chair: Piotr Andruszkiewicz |
118Industrial Session III ((Artificial Intelligence) Chair: Przemysław Rokita |
| Semantic Enriched Short Text Clustering, Marek Kozlowski and Henryk Rybinski |
Non-linear forecasting of energy futures: Oil, coal and natural gas, Germán Creamer |
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| Exploiting Web Sites Structural and Content Features for Web Pages Clustering, Fabiana Lanotte, Fabio Fumarola, Donato Malerba and Michelangelo Ceci |
Implementation of generic steering algorithms for AI agents in computer games, Mateusz Modrzejewski and Przemysław Rokita |
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| Concept-enhanced Multi-view Co-clustering of Document Data, Valentina Rho and Ruggero G. Pensa |
The Dilemma of Innovation–Artificial Intelligence Trade-off, Mieczyslaw Muraszkiewicz |
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| Filtering Decision Rules with Continuous Attributes Governed by Discretisation, Urszula Stanczyk |
Can we build recommender system for artworks evaluation? Cezary Pawlowski, Anna Gelich and Zbigniew Ras |
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| Evolution algorithm for community detection in social networks using node centrality, Krista Ritzman Žalik |
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| 13:00-14:30 | Lunch | |
| 14:30-15:50 | 133Intelligent Information Systems II Chair: Wiktor Daszczuk |
118Industrial Session IV (Medical Applications) Chair: Mieczysław Muraszkiewicz |
| Uncalibrated Visual Servo for the Remotely Operated Vehicle, Chi-Cheng Cheng and Tsan-Chu Lu |
Unsupervised machine learning in classification of neurobiological data, Konrad Ciecierski and Tomasz Mandat |
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| Automated Web Services Composition with Iterated Services, Alfredo Milani and Rajdeep Niyogi |
Incorporating Fuzzy Logic in Object-Relational Mapping Layer for Flexible Medical Screenings, Dariusz Mrozek and Bozena Malysiak-Mrozek |
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| Automatic Defect Detection by Classifying Aggregated Vehicular Behavior, Felix Richter, Oliver Hartkopp and Dirk C. Mattfeld |
Multimodal learning determines rules of disease development in longitudinal course with Parkinson’s patients, Andrzej Przybyszewski, Stanislaw Szlufik, Piotr Habela and Dariusz Koziorowski |
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| Automatic Speech Recognition adaptation to the IoT domain dialogue system, Maciej Zembrzuski, Heesik Jeon, Joanna Marhula, Katarzyna Beksa, Szymon Sikorski, Tomasz Latkowski and Pawel Bujnowski |
Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals, Piotr Szczuko, Michał Lech and Andrzej Czyżewski |
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| 15:50-16:10 | Coffee break | |
| 16:10-17:10 | 133Industrial Session V (Image processing) Chair: Tomasz Trzciński |
118Industrial Session VI (Text processing) Chair: Grzegorz Protaziuk |
| Procedural Generation of Multilevel Dungeons for Application in Computer Games using Schematic Maps and L-system, Izabella Antoniuk and Przemysław Rokita |
Towards Entity Timeline Analysis in Polish Political News, Katarzyna Baraniak and Marcin Sydow |
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| Handwritten signature verification system employing wireless biometric pen, Michal Lech and Andrzej Czyżewski |
To improve, or not to improve; how changes in corpora influence the results of machine learning tasks on the example of datasets used for paraphrase identification, Krystyna Chodorowska, Barbara Rychalska, Katarzyna Pakulska and Piotr Andruszkiewicz |
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| Context Sensitive Sentiment Analysis of Financial Tweets: A New lexicon Dictionary, Narges S. Tabari and Mirsad Hadzikadic |
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| 17:10 | 133Closing | |