Journal of Information and Data Management

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Informatics

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JIDM is an electronic journal that is published three times a year. Its focus is on information and data management in large repositories and document collections. Specifically, it relates to different areas from Computer Science, including databases, information retrieval, digital libraries, knowledge discovery, data mining, geographic information systems, among others.

Journal of Information and Data Management Cover

Articles in this Journal

Investigating the Relation Between Companies with Topological Analysis of a Network of Stock Exchange in Brazil

B3 (Brasil, Bolsa, Balcão) is the official stock exchange in Brazil and plays a key role in the world financial market. Stock exchange allows people and companies to relate through the shareholding and the purchase and sale of shares. The...

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World Cups Impact Analysis in the Soccer Players Transaction and Soccer Globalization using Complex Network Techniques

In this work we propose an analysis of the world cup relationship with the transfer of soccer players and a quantitative evaluation of theories that associate globalization with this player transfer market. For this analysis, networks are...

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Spatial operations on uncertain positional data

Positional errors on spatial data affect spatial join accuracy in an unexpected and undesirable way. Furthermore, current probabilistic solutions barely achieve reasonable computational performance, unless they are employed in special case...

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Spatial Analysis and Data Mining of Urban Trees

Tree coverage in urban spaces is a theme of great importance for current societies, given all the benefits that green spaces provide to the population, especially in large cities. Trees fulfill a very important role to ensure quality of ur...

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Efficient Processing of Analytical Queries Extended with Similarity Search Predicates over Images in Spark

An image data warehousing extends a conventional data warehousing to also manipulate images represented by feature vectors and attributes for similarity search. A challenge that arises is the efficient processing of analytical qu...

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Weighted Linking Decomposition: Mining Denser and More Compact Hierarchies for Bipartite Graphs

Dense subgraph detection is a well-known problem in graph theory.The hierarchical organization of graphs as dense subgraphs, however, goes beyond simple clustering, as it allows the analysis of the network at different scales.Although ther...

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Analysis of ENEM’s attendants between 2012 and 2017 using a clustering approach

Data analysis is increasingly being used as an unbiased and accurate way to evaluate many aspectsof society and their evolution over the years. This article presents an analysis of student’s characteristics, between2012 and 2017, in the mo...