Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Analytical processing and mining of sequential data: models, algorithms, and data structures

2015/19/B/ST6/02637

Keywords:

sequential data warehouses analytical processing of sequential data algorithms of analyzing and mining of sequential data parallel processing on GPU index structures for sequential data

Descriptors:

  • ST6_10: Web and information systems, database systems, internet technologies, including information retrieval and digital libraries
  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Tadeusz Morzy 

Number of co-investigators in the project: 8

Call: OPUS 10 - announced on 2015-09-15

Amount awarded: 453 000 PLN

Project start date (Y-m-d): 2016-07-07

Project end date (Y-m-d): 2020-01-06

Project duration:: 42 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. serwer danych (21 000 PLN)

Information in the final report

  • Publication in academic press/journals (7)
  • Articles in post-conference publications (5)
  1. Efficient spatial co-location pattern mining on multiple GPUs
    Authors:
    Witold Andrzejewski, Paweł Boiński
    Academic press:
    Expert Systems With Applications (rok: 2018, tom: 93, strony: 465-483), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.025 - link to the publication
  2. Exploring complex and big data
    Authors:
    Jerzy Stefanowski, Krzysztof Krawiec, Robert Wrembel
    Academic press:
    International Journal of Applied Mathematics and Computer Science (rok: 2017, tom: 27, strony: 669-679), Wydawca: De Gruyter
    Status:
    Published
    DOI:
    10.1515/amcs-2017-0046 - link to the publication
  3. Parallel approach to incremental co-location pattern mining
    Authors:
    Witold Andrzejewski, Pawel Boinski
    Academic press:
    Information Sciences (rok: 2018, ), Wydawca: Elsevier
    Status:
    Accepted for publication
    DOI:
    10.1016/j.ins.2018.09.016 - link to the publication
  4. Big Data Semantics
    Authors:
    Paolo Ceravolo, Antonia Azzini, Marco Angelini, Tiziana Catarci, Philippe Cudré-Mauroux, Ernesto Damiani, Alexandra Mazak, Maurice Van Keulen, Mustafa Jarrar, Giuseppe Santucci, Kai-Uwe Sattler, Monica Scannapieco, Manuel Wimmer, Robert Wrembel, Fadi Zaraket
    Academic press:
    Journal on Data Semantics (rok: 2018, tom: 7 (2), strony: 65-85), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s13740-018-0086-2 - link to the publication
  5. From conceptual design to performance optimization of ETL workflows: current state of research and open problems
    Authors:
    Syed Muhammad Fawad Ali, Robert Wrembel
    Academic press:
    The VLDB Journal (rok: 2017, tom: 26, strony: 777-801), Wydawca: Springer Berlin Heidelberg
    Status:
    Published
    DOI:
    10.1007/s00778-017-0477-2 - link to the publication
  6. Intelligent assistance for data pre-processing
    Authors:
    Besim Bilallia, Alberto Abellóa, Tomàs Aluja-Baneta, Robert Wrembel
    Academic press:
    Computer Standards & Interfaces (rok: 2018, tom: 57, strony: 101-109), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.csi.2017.05.004 - link to the publication
  7. A Study on Using Data Clustering for Feature Extraction to Improve the Quality of Classification
    Authors:
    Maciej Piernik, Tadeusz Morzy
    Academic press:
    Knowledge and Information Systems , Wydawca: Springer
    Status:
    Submitted
    DOI:
    brak - link to the publication
  1. Partial Tree-Edit Distance: A Solution to the Default Class Problem in Pattern-Based Tree Classification
    Authors:
    Maciej Piernik, Tadeusz Morzy
    Conference:
    21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (rok: 2017, ), Wydawca: Springer International Publishing
    Data:
    konferencja 23-26 maja 2017
    Status:
    Published
  2. Searching for Patterns in Sequential Data: Functionality and Performance Assessment of Commercial and Open-Source Systems
    Authors:
    Witold Andrzejewski, Bartosz Bębel, Szymon Kłosowski, Bartosz Łukaszewski, Robert Wrembel, Gastón Bakkalian
    Conference:
    International Conference on Conceptual Modeling (rok: 2016, ), Wydawca: Springer
    Data:
    konferencja 14-17.11.2016
    Status:
    Published
  3. Using Network Analysis to Improve Nearest Neighbor Classification of Non-network Data
    Authors:
    Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy, Mikołaj Morzy
    Conference:
    23rd International Symposium Intelligent Information Systems (rok: 2017, ), Wydawca: Springer, Cham
    Data:
    konferencja 26-29 czerwca 2017
    Status:
    Published
  4. Assessing the Effectiveness of Sequences of Treatments Using Sequential Patterns
    Authors:
    Maciej Piernik, Joanna Sołomiewicz, Arkadiusz Jachnik
    Conference:
    Conference on Artificial Intelligence in Medicine in Europe (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 26-29.06.2019
    Status:
    Published
  5. On Representing Interval Measures by Means of Functions
    Authors:
    Gastón Bakkalian, Christian Koncilia, Robert Wrembel
    Conference:
    International Conference on Model and Data Engineering (rok: 2016, ), Wydawca: Springer
    Data:
    konferencja 21-23.09.2016
    Status:
    Published

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