Tag: Graph

Feed: Blog – Hazelcast. Author: Dan Ortega. Stream processing refers to real-time management of data entering a banking system (or any information system, actually) at high speed and volume, usually from a broad range of sources. The “management” aspect means data is wholly or partially processed and contextualized before entering an in-memory (operational) system, where pre-processing can significantly accelerate response times. Before in-memory technologies, transactional data was managed as a batch process and analyzed every hour, once a day, etc., depending on the data involved, the bank’s policies for handling data, regulatory and compliance requirements, and so on. While having ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. This post is a part of my forthcoming book on Mathematical foundations of Data Science. In the previous blog, we saw how you could use basic high school maths to learn about the workings o... In this post we extend that idea to learn about Gradient descent We have seen that a regression problem can be modelled as a set of equations which we need to solve. In this section, we discuss the ways to solve these equations. Again, we start with ideas you learnt in school and we expand ... Read More

Feed: Neo4j Graph Database Platform. Author: Allison Wu. By Joe Depeau, Senior Pre-Sales Consultant, Neo4j | July 16, 2019Reading time: 1 minute Many players in the financial services industry already rely on Neo4j’s graph database.For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library.In this session, we look specifically at graphs within the financial services industry. We review the types of data typically available within a bank, illustrate the graphs formed from that data, and discuss the use cases those graphs enable and support.Use cases presented include anti-money laundering as well as ... Read More

Feed: Cambridge Intelligence. Author: Kevin Naughten. How much data can your users handle? When you’ve got a graph database packed with complex connected data and a high-performance, graph visualization application, it’s tempting to render it all on screen at once and expect the analysts to make sense of it.No matter how experienced your users are, making them wade through data to find hidden insights takes up valuable time and effort. They need to understand the key relationships in their data and make decisions fast.There’s a similar problem when choosing how to present the feature-rich options your visualization application should support ... Read More

Feed: SAS Blogs. Author: Rick Wicklin. Heat maps have many uses. You can use a heat map to visualize correlation matrices, to visualize longitudinal data ("lasagna plots"), and to visualize counts in any two-dimensional table. As of SAS 9.4m3, you can create heat maps in SAS by using the HEATMAP and HEATMAPPARM statements in PROC SGPLOT. Prior to SAS 9.4m3, you could create heat maps by using the Graph Template Language (GTL) in Base SAS or the HeatmapCont and HeatmapDisc functions in SAS/IML software. I like to emphasize the difference between a continuous heat map and a discrete heat map ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Featured Database Articles Posted July 15, 2019 By Marcin Policht While the most common methods of interacting with Azure Cosmos DB involve programmatic access, there are times when you might want to perform a quick change or take a peek at some of documents in a collection. In such instances, it is typically more convenient to rely on the graphical interface. Fortunately, there are several options you can use to accomplish. Data Explorer: The Azure portal includes Data Explorer, which provides a graphical tool embedded into the Azure Cosmos DB account blade ... Read More

Feed: R-bloggers. Author: Bob Muenchen. by Bob Muenchen & Sean Mackinnon One of us (Muenchen) has been tracking The Popularity of Data Science Software using a variety of different approaches. One approach is to use Google Scholar to count the number of scholarly articles found each year for each software. He chose Google Scholar since it searches “across many disciplines and sources: articles, theses, books, abstracts, and court opinions, from academic publishers, professional societies, online repositories, universities, and other web sites.” Figure 1 shows the results from 1995 through 2016. Data collected in 2018 showed that while SPSS use dropped ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Amy E. Hodler, Analytics & AI Program Manager | July 15, 2019Reading time: 4 minutes Last week, in part two of our series Toward AI Solutions, we explore graph technology as the fabric for AI context:“More recently, graph technologies have been increasingly integrated with machine learning and artificial intelligence solutions. These applications include using connections to predict with better accuracy, to make decisions with more flexibility, to track verifiable data lineage, and to understand decision pathways for improved explainability.” This segways nicely into this week’s series topic, which centers on how ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. This week Greta Workman interviewed Mark Grover about Data Discovery at Lyft and we opened registration for the GraphConnect 2020 conference. We also learn about a tool for keeping track of applications in a micro services architecture, and Max De Marzi shows how to use motifs to solve link prediction problems. Our featured community members this week is Mark Grover, Product Manager at Lyft. He’s a former software engineer at Cloudera, Qualcomm, and more. Mark Grover – This Week’s Featured Community Member Mark impressed us with his desire to share his knowledge ... Read More

Feed: Cloudwards. Author: Jacob Roach; In this SiteGround vs Bluehost comparison, we’re going to pit these two powerhouse services against each other to see which comes out on top. Over five rounds, we’ll try to determine if SiteGround’s excellent feature list can beat Bluehost’s unparalleled usability so you can find the best service for you.  SiteGround ranked on our list of the best web hosting providers, and for good reason. Between its no-nonsense pricing, excellent speed and many features, it’s an ideal choice for almost any website. That said, it was nearly knocked out of contention by Bluehost in our ... Read More