Data mining for public health
When data mining is in the news, it's often not shown in a particularly positive light. It's portrayed as invasive or depersonalizing, used mostly by advertisers and political campaigns. But these...
View ArticleData mining’s value continues to grow in private sector
While data mining is not exactly a new technology, it’s definitely assumed a whole new level of importance in recent years. In the past, data mining was used predominantly by research institutions and...
View ArticleWhen a good algorithm fails, do you trust it?
Question: what’s your algorithm aversion? If you’re not sure what this means, here’s a use case that’s happened to all of us: you’re looking for a good place to eat, say sushi or thai, and you read...
View ArticleData mining’s impact continues to expand
It’s always exciting whenever a technology moves from the cutting edge into the mainstream. From the Internet to cloud computing and beyond, there’s always a period when the potential benefits of this...
View ArticleWhat’s new in JMSL 7.1
Java Numerical Library 7.1 has just been released and I’m excited to announce that it gives you a better, faster way to solve complex linear programming problems. Our new Sparse Linear Programming...
View ArticlePotential uses for data mining solutions expand
Data mining technology has advanced tremendously over the course of the past decade. We’ve seen amazing breakthroughs – not least of which is the sheer expansion in how these tools can be used. In...
View ArticleAre you ready to start your big data initiative?
Although Hadoop broke ground a decade ago, a significant number of organizations have done little more than think about a big data initiative, such as creating a Hadoop enterprise data warehouse (EDW)....
View ArticleSee it for yourself: analytics in IMSL C# vs. R – Part I
Statistical analysis and desktop modeling are often performed with software such as the well-known R Project. Many statisticians are not programmers, and straightforward, higher-level languages such as...
View ArticleSee it for yourself: analytics in IMSL C# vs. R – Part II
In part I of our series, we walked through two examples – Chi-squared test and contingency table – that were recently discussed in an article in MSDN Magazine that discusses the need for statistical...
View ArticleBig data problems … can Java really help?
Ok, you have a big data problem, but can we stick with Java now? It’s funny how it goes. I’ve worked at Rogue Wave for 13 years and you probably remember us as a C and C++ company only. So you’ll...
View ArticleIntroducing stochastic gradient boosting with JMSL 7.2
The latest release of IMSL Numerical Libraries for Java (JMSL) brings a powerful new technique for classification and regression problems called stochastic gradient boosting. This technique is...
View ArticleWhat’s the advantage of 100% Java for in-database analytics?
At a recent webinar, Java in the database-is it really useful? Solving impossible big data challenges, my colleague Mark Sweeney and I took a deep dive into embedded analytics in-database and how that...
View ArticleBeyond the tools of the data scientist
Regardless of the size of your data, small, medium, large, or “Big”, whether you’re a data analyst, data scientist, statistician, mathematician, or physicist, you have a favorite tool. Maybe it’s...
View ArticleWill big data engulf relational databases?
Introduction It’s not headline news anymore that we’re producing large amounts of data. From 500 million Twitter feeds per day to terabytes of data collected by the Sloan Digital Sky Survey to map the...
View ArticleSupport vector machines in JMSL (part 1)
Introduction An implementation of support vector machines (SVM) is available in the JMSL Numerical Library as of release 7.3. The data mining functionality in JMSL continues to expand with the latest...
View ArticleSupport vector machines in JMSL (part 2)
In part 1 of the blog series, the new support vector machines algorithm in the JMSL Library was presented along with a straightforward linear example. The methodology described is also applicable to...
View ArticleMeet Patrick Boily, director at CQADS
We recently spoke with Patrick Boily, manager and senior consultant at the Centre for Quantitative Analysis and Decision Support (CQADS). The centre is offering a three day series of data analysis...
View ArticleAn update to BCPOL
The Selection of Routines (see figure below) section in the IMSL Fortran Library documentation for Chapter 8 on numerical optimization functions provides a helpful guide for navigating the broad array...
View ArticleAdapting algorithms for big data on small machines
Large data sets make it difficult to get going on a data analysis project, especially when trying to perform preliminary steps on a local machine. If the data is too large to store or process all at...
View ArticleMethods for multidimensional scaling: Part 3
This blog is part 3 of a series featuring excerpts from the original technical paper, “Methods for Multidimensional Scaling” by Douglas B. Clarkson, IMSL, Inc., 1987. In this blog post, we pick up from...
View ArticleData mining used to develop comprehensive disease database
Despite tremendous progress in recent years, contagious diseases remain a worldwide challenge. The current Ebola outbreak in western Africa is a powerful reminder of the damage that these pathogens can...
View ArticleHospital leverages predictive analytics to improve treatment
Predictive analytics have proven themselves to be an invaluable resource for countless organizations in many fields. By leveraging this technology, firms can gain better insight that leads to improved...
View ArticleData mining may prove critical for fighting Ebola and other outbreaks
The ongoing Ebola outbreak has captivated and horrified the world at large. Thousands of people in West Africa have died of the disease, and cases have been reported in the United States and Spain....
View ArticleSocial media, data mining combine for powerful results
Data mining's value continues to grow for businesses around the globe. In virtually every sector, leading organizations now realize that data mining and analytics technology can be leveraged to achieve...
View ArticleData mining improves food contamination identification
It often seems that there are no limits to the applications of data mining technology. Every day, organizations discover new ways of leveraging these tools to discover new insight and improve their...
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