Sparse Big Data Problem. A Case Study of Czech Graffiti Crimes

Horák, Jiří; Ivan, Igor; Inspektor, Tomáš; Tesla, Jan

doi:10.1007/978-3-319-45123-7_7

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…Statistical data, including surveys and reports on population (census data), vehicle models and motorization, etc., can offer insights on the mobility and transport issue [25]. However, such kinds of data are sporadically updated and may be affected by missing or obsolete information [26]. Typically, statistical data are distributed as text files or Excel files, SDMX (Statistical Data and Metadata eXchange), CVS (Comma Separated Values) or JSON (JavaScript Object Notation) formats.…”

Section: Organization Data Groupmentioning

confidence: 99%

Data Sources and Models for Integrated Mobility and Transport Solutions

Bellini,

Bilotta,

Collini

et al. 2024

Sensors

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The number of data sources and models in the mobility and transport domain strongly proliferated in the last decade. Most formats have been created to enable specific and innovative applications. On the other hand, the available data models present a certain degree of complexity in terms of their integration and management due to partial overlaps, and in most cases, they could be exploited alternatively to implement the same smart and latest innovative solutions. This paper offers an overview of data models, standards and their relationships. A second contribution highlights any possible exploitation of data models for implementing operational processes for city transportation management and for the feeding of simulation and optimization processes that produce other data results in other data models. The final goal in most cases is the monitoring and control of city transport conditions, as well as the tactic and strategic planning of city infrastructure. This work was developed in the context of the CN MOST, a national center of sustainable mobility in Italy, and it is based on exploiting the Snap4City platform.

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Section: Organization Data Groupmentioning

confidence: 99%

Data Sources and Models for Integrated Mobility and Transport Solutions

Bellini,

Bilotta,

Collini

et al. 2024

Sensors

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“…Visual analytics of spatiotemporal changes can bring new insights into the consequences of human decisions in many areas. We may identify several application domains, starting from smart mobility policy [6,34,35], through the monitoring of machinery and sensor data in agriculture [36,37], the monitoring of population movement and distribution [38,39], and noise mapping [40], to spatiotemporal visualizations of crime scenes [41,42]. The main focus of visual analytics is, therefore, placed on interactivity through utilizing the concept of multiple coordinated views [43,44] and dynamic queries to emphasize the impact of changes in various phenomena.…”

Section: Description Of the Investigated Toolsmentioning

confidence: 99%

User Evaluation of Map-Based Visual Analytic Tools

Popelka

Heřman

Řezník

et al. 2019

IJGI

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Big data have also become a big challenge for cartographers, as the majority of big data may be localized. The use of visual analytics tools, as well as comprising interactive maps, stimulates inter-disciplinary actors to explore new ideas and decision-making methods. This paper deals with the evaluation of three map-based visual analytics tools by means of the eye-tracking method. The conceptual part of the paper begins with an analysis of the state-of-the-art and ends with the design of proof-of-concept experiments. The verification part consists of the design, composition, and realization of the conducted eye-tracking experiment, in which three map-based visual analytics tools were tested in terms of user-friendliness. A set of recommendations on GUI (graphical user interface) design and interactive functionality for map makers is formulated on the basis of the discovered errors and shortcomings in the assessed stimuli. The results of the verification were used as inputs for improving the three tested map-based visual analytics tools and might serve as a best practice for map-based visual analytics tools in general, as well as for improving the policy making cycle as elaborated by the European project PoliVisu (Policy Development based on Advanced Geospatial Data Analytics and Visualization).

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“…A medium or large population may still be deemed sparse by the theory of statistical sampling, if the value is distributed over a very wide range. Sparse data results in uneven frequency distributions [42]. Such high-dimensional spare data significantly deteriorate the reliability of the models derived from the data [44].…”

Section: Bigger Problems Due To Big Data?mentioning

confidence: 99%

Big data collection and analysis for manufacturing organisations

Sharma

Baglee

Campos

et al. 2017

Big Data &Amp; Information Analytics

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Data mining applications are becoming increasingly important for the wide range of manufacturing and maintenance processes. During daily operations, large amounts of data are generated. This large volume and variety of data, arriving at a greater velocity has its own advantages and disadvantages. On the negative side, the abundance of data often impedes the ability to extract useful knowledge. In addition, the large amounts of data stored in often unconnected databases make it impractical to manually analyse for valuable decision-making information. However, an advent of new generation big data analytical tools has started to provide large scale benefits for the organizations. The paper examines the possible data inputs from machines, people and organizations that can be analysed for maintenance. Further, the role of big data within maintenance is explained and how, if not managed correctly, big data can create problems rather than provide solutions. The paper highlights the need to have advanced mining techniques to enable conversion of data into information in an acceptable time frame and to have modern analytical tools to extract value from the big datasets. 2010 Mathematics Subject Classification. 00B10.

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Sparse Big Data Problem. A Case Study of Czech Graffiti Crimes

Cited by 3 publications

References 14 publications

Data Sources and Models for Integrated Mobility and Transport Solutions

Data Sources and Models for Integrated Mobility and Transport Solutions

User Evaluation of Map-Based Visual Analytic Tools

Big data collection and analysis for manufacturing organisations

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