Research papers
High Quality, Scalable and Parallel Community Detection for Large Real Graphs. Arnau Prat-Pérez, David Dominguez-Sal, Josep-Lluis Larriba-Pey: WWW (2014)-
Recent Posts
- Sparsity presenting CIGO! at Mobile World Congress 2016
- Recap of the year and future outlook for 2016
- Sparsity at the Smart City Expo World Congress 2015 presenting CIGO!
- Sparsity involved in IT2Rail project: a step towards a new seamless multimodal travel experience
- Help Sparsity win the first EC Innovation Radar prize
Archives
Category Archives: Sparksee
Sparsity involved in SOMATCH EU project: bringing BI to SMEs of the fashion industry
We are glad to announce that Sparsity will take part of the SOMATCH EU project under the Horizon 2020 programme. The main objective of the project is the improvement of the competitiveness of European SMEs dedicated to fashion design and Textile … Continue reading
Microblogging queries on graph databases
In the last edition of the GRADES Workshop co-located with SIGMOD/PODS Conference, a group of researchers from the RMIT University (Australia) presented the paper “Microblogging Queries on Graph Databases: An Introspection”. In this paper the authors shared their experience on executing … Continue reading
Posted in Research, Sparksee
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Sparksee 5.2 new release!
We are proud to announce the release of Sparksee 5.2 today! Download your trial on our website or request a license for free. New version includes the following features: The fastest community detection algorithm: We have included the SCD algorithm … Continue reading
Posted in News, Sparksee
Tagged 5.2, Android, community algorithm, shortest path, sparksee, sparksee 5.2, sparksee new release
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Graph database use case: Insurance fraud detection
According to a fact sheet released by the Southwest Insurance Information Service (SIIS), Approximately 10% of all insurance claims are fraudulent, and nearly $80 billion in fraudulent claims are spent annually in the U.S., estimates the Coalition Against Insurance Fraud. … Continue reading
Posted in Sparksee, Use Case
Tagged fraud, fraud detection, graph database, insurance, sparksee
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Management of mobile device data
** Note: This is a curated article published first at Quora by Sparsity’s CEO Mr. Larriba Pey ** The content stored in Mobile Devices (MD) grows as the users evolve in their tastes, the trends in applications change and the … Continue reading
Posted in Sparksee, Sparksee mobile
Tagged data, device, M-GDB, mobile, MWC, sparksee
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Graph database use case: business intelligence applications of Indoor Positioning Systems
Since the Real Time Locating Systems (RTLS) entered the market back in the 1990s, there has been several attempts to create a reliable secure system to locate objects & people nearby in indoor environments. That is not surprising given that … Continue reading
Posted in Sparksee, Sparksee mobile, Use Case
Tagged applications, business intelligence, indoor positioning system, IPS, sparksee, sparksee mobile, use case
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How & when to use the recovery functionality
On this new edition of Sparksee’s how-to series, we would like to highlight the recovery functionality that will keep your database save at all times and it’s specially recommended for first-time users. Sparksee includes an automatic recovery manager which keeps … Continue reading
Graph Database Use Case: Fraud detection
Fraud and financial crimes are a form of theft or larceny that occur when a person or entity takes money or property for their own use, or uses them in an illicit manner for their personal benefit. These crimes typically … Continue reading
Posted in Sparksee, Use Case
Tagged fraud detection, graph databases, money laundering, use case
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Recap of the year and future outlook for 2015
Approaching the end of this 2014 we believe it’s a good time to look back and take stock of all that we have been working on and happened to Sparksee on this year. One of the most important hits for 2014 has … Continue reading
Posted in News, Sparksee
Tagged 2014 recap, 2015, christmas, graph database events, holiday season
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