Wyniki wyszukiwania dla: DATA

• ATOMIC DATA AND NUCLEAR DATA TABLES

  Czasopisma

  ISSN: 0092-640X , eISSN: 1090-2090

• Data in Brief

  Czasopisma

  ISSN: 2352-3409

• Scientific Data

  Czasopisma

  ISSN: 2052-4463

• JOURNAL OF CHEMICAL AND ENGINEERING DATA

  Czasopisma

  ISSN: 0021-9568 , eISSN: 1520-5134

• The molecular entities in linked data dataset

  Publikacja

  • D. Tomaszuk
  • Ł. Szeremeta

  - Data in Brief - Rok 2020

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• Big Data

  Czasopisma

  ISSN: 2167-6461 , eISSN: 2167-647X

• Genomics Data

  Czasopisma

  ISSN: 2213-5960

• Data Intelligence

  Czasopisma

  eISSN: 2641-435X

• Data & Policy

  Czasopisma

  eISSN: 2632-3249

• Data Analysis in Bridge of Data

  Publikacja

  • W. Artichowicz
  • K. Drypczewski
  • J. Proficz

  - Rok 2022

  The chapter presents the data analysis aspects of the Bridge of Data project. The software framework used, Jupyter, and its configuration are presented. The solution’s architecture, including the TRYTON supercomputer as the underlying infrastructure, is described. The use case templates provided by the Stat-reducer application are presented, including data analysis related to spatial points’ cloud-, audio- and wind-related research.

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• Data Analytics Meeting

  Wydarzenia

  17-05-2024 08:30 - 18-05-2024 15:00

  Data Analytics Meeting Konferencja studentów i doktorantów

• A Text as a Set of Research Data. A Number of Aspects of Data Acquisition and Creation of Datasets in Neo-Latin Studies

  Publikacja

  • J. Pokrzywnicki
  • G. Kotłowski
  • E. Starek

  - Rok 2022

  In this paper, the authors, who specialise in part in neo-Latin studies and the his-tory of early modern education, share their experiences of collecting sources for Open Research Data sets under the Bridge of Data project. On the basis of inscription texts from St. Mary’s Church in Gdańsk, they created 29 Open Research Data sets. In turn, the text of the lectures of the Gdańsk scholar Michael Christoph Hanow, Praecepta de arte...

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• Music Data Processing and Mining in Large Databases for Active Media

  Publikacja

  • B. Kostek
  • P. Hoffmann

  - Rok 2014

  The aim of this paper was to investigate the problem of music data processing and mining in large databases. Tests were performed on a large data-base that included approximately 30000 audio files divided into 11 classes cor-responding to music genres with different cardinalities. Every audio file was de-scribed by a 173-element feature vector. To reduce the dimensionality of data the Principal Component Analysis (PCA) with variable...

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• Harmony Search for Data Mining with Big Data

  Publikacja

  • J. Balicki
  • P. Dryja
  • W. Korłub

  - Rok 2016

  In this paper, some harmony search algorithms have been proposed for data mining with big data. Three areas of big data processing have been studied to apply new metaheuristics. The first problem is related to MapReduce architecture that can be supported by a team of harmony search agents in grid infrastructure. The second dilemma involves development of harmony search in preprocessing of data series before data mining. Moreover,...

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• Data reduction and stacking for imbalanced data classification

  Publikacja

  • I. Czarnowski
  • P. Jędrzejowicz

  - Journal of Intelligent & Fuzzy Systems - Rok 2019

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• Data

  Czasopisma

  ISSN: 2306-5729

• Data governance: Organizing data for trustworthy Artificial Intelligence

  Publikacja

  • M. Janssen
  • P. Brous
  • E. Estevez
  • L. S. Barbosa
  • T. Janowski

  - GOVERNMENT INFORMATION QUARTERLY - Rok 2020

  The rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their failures cannot be tolerated, and they are subject to stringent regulatory and ethical requirements....

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• Data Reduction Algorithm for Machine Learning and Data Mining

  Publikacja

  • I. Czarnowski
  • P. Jȩdrzejowicz

  - Rok 2008

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• Combining Road Network Data from OpenStreetMap with an Authoritative Database

  Publikacja

  • G. Szwoch

  - Journal of Transportation Engineering, Part A: Systems - Rok 2019

  Computer modeling of road networks requires detailed and up-to-date dataset. This paper proposes a method of combining authoritative databases with OpenStreetMap (OSM) system. The complete route is established by finding paths in the graph constructed from partial data obtained from OSM. In order to correlate data from both sources, a method of coordinate conversion is proposed. The algorithm queries road data from OSM and provides...

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• Data Processing Systems

  Czasopisma

  ISSN: 1681-7710

• DATA & KNOWLEDGE ENGINEERING

  Czasopisma

  ISSN: 0169-023X , eISSN: 1872-6933

• Big Data Research

  Czasopisma

  ISSN: 2214-5796

• Big Data & Society

  Czasopisma

  ISSN: 2053-9517

• Data Technologies and Applications

  Czasopisma

  ISSN: 2514-9288 , eISSN: 2514-9318

• Journal on Data Semantics

  Czasopisma

  ISSN: 1861-2032 , eISSN: 1861-2040

• Geoscience Data Journal

  Czasopisma

  ISSN: 2049-6060

• EPJ Data Science

  Czasopisma

  ISSN: 2193-1127

• Biodiversity Data Journal

  Czasopisma

  ISSN: 1314-2836 , eISSN: 1314-2828

• Intelligent Data Analysis

  Czasopisma

  ISSN: 1088-467X , eISSN: 1571-4128

• Data Science Journal

  Czasopisma

  ISSN: 1683-1470

• Transactions on Data Privacy

  Czasopisma

  ISSN: 1888-5063 , eISSN: 2013-1631

• Health data management

  Czasopisma

  ISSN: 1079-9869

• Data Science and Engineering

  Czasopisma

  ISSN: 2364-1185

• Methods Data Analyses

  Czasopisma

  ISSN: 1864-6956 , eISSN: 2190-4936

• Chemical Data Collections

  Czasopisma

  ISSN: 2405-8300

• NCHS data brief

  Czasopisma

  ISSN: 1941-4935

• Annals of Data Science

  Czasopisma

  ISSN: 2198-5804 , eISSN: 2198-5812

• Data Science and Management

  Czasopisma

  eISSN: 2666-7649

• Data-Centric Engineering

  Czasopisma

  eISSN: 2632-6736

• Foundations of Data Science

  Czasopisma

  eISSN: 2639-8001

• Frontiers in Big Data

  Czasopisma

  eISSN: 2624-909X

• Big Earth Data

  Czasopisma

  ISSN: 2096-4471 , eISSN: 2574-5417

• NUCLEAR DATA SHEETS

  Czasopisma

  ISSN: 0090-3752 , eISSN: 1095-9904

• BMC Genomic Data

  Czasopisma

  ISSN: 2730-6844

• LIFETIME DATA ANALYSIS

  Czasopisma

  ISSN: 1380-7870 , eISSN: 1572-9249

• DATA INTEROPERABILITY AND THE OPEN DATA ECOSYSTEM: ROLES AND RESEARCH AREAS

  Publikacja

  • M. Ali

  - Rok 2023

  Sustainability and value-creation are considered important parameters to measure the success of an open data system. Unfortunately, existing open data systems are not meeting their promises to achieve a sustainable and value-based open data system. Van Loenen et al. (2021) proposed a sustainable and value-creating open data ecosystem. According to their study, the open data ecosystem needs to be user-driven, inclusive, circular,...

• Asking Data in a Controlled Way with Ask Data Anything NQL

  Publikacja

  • A. Seganti
  • P. Kapłański
  • J. Campo
  • K. Cieśliński
  • J. Koziołkiewicz
  • P. Zarzycki

  - Rok 2016

  While to collect data, it is necessary to store it, to understand its structure it is necessary to do data-mining. Business Intelligence (BI) enables us to make intelligent, data-driven decisions by the mean of a set of tools that allows the creation of a potentially unlimited number of machine-generated, data-driven reports, which are calculated by a machine as a response to queries specified by humans. Natural Query Languages...

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• Data Extraction, Transformation and Loading process in data warehouse development.

  Publikacja

  • D. Romanowski
  • E. Szczerbicki

  - Rok 2004

  Omówiono podstawowe elementy procesu projektowania hurtowni danych.

• Machine Learning and data mining tools applied for databases of low number of records

  Publikacja

  • H. Anysz

  - Advanced Engineering Research - Rok 2022

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• Databases (Data Engineering) - 2022

  Kursy Online

  • A. Nabożny
  • G. Gołaszewski
  • M. Wróbel
  • A. Landowska
  • K. Goczyła

  The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course.