Friday, April 22, 2011

ADAPA 3.4 Released: Association Rules

PMML, the Predictive Model Markup Language, allows for a predictive analytic model to be developed in one application and easily moved to another for production deployment and execution.

Once a predictive model is exported from a PMML-compliant tool such as SAS EM, SPSS/IBM, R, KNIME, RapidMiner, ... it can be uploaded directly into the Zementis ADAPA engine which makes the model available for execution via its console or as a web-service. ADAPA can already import most of the techniques defined by the PMML standard and now, with the release of ADAPA 3.4, we have expanded it even further to cover Association Rules.

Association Rules


Analysts always want to explore rules and relations between variables in large data sets. The learning mechanism of Association Rules serves this purpose. The rules discovered by Association Rules often provide useful information for marketing activities. For example, they can be used for discovering relations between products in transaction data in supermarkets. In this way, an association rule can be found to indicate that if a customer purchases beef and cat food together, he/she is most likely to also buy tuna cans.

An Association Rule Model in PMML is represented by the element "AssociationModel". ADAPA and PMML support two different formats for representing Association Rules. These are "rectangular" and "transactional". To learn more about these two formats, please read our posting: Association Rules in ADAPA.

PMML Conversion

In addition, with the release of ADAPA 3.4, we were able to make ADAPA even better when it comes to converting and correcting PMML files. This is yet another big step towards true interoperability. In many cases, even if the model has syntactic or semantic problems, ADAPA automatically corrects known issues for models exported from several model development environments. For that, we analyze PMML files submitted to us by our partners and clients.


If for any reason, your PMML code cannot be converted or corrected automatically, feel free to contact us. We are here to help!

Wednesday, April 20, 2011

Predictions in the Cloud with ADAPA

ADAPA is the first standards-based, real-time predictive decisioning engine available on the market and the first scoring engine accessible on the Amazon Cloud as a service. ADAPA on the Cloud combines the benefits of Software as a Service (SaaS), the scalability of cloud computing and the extensive feature set of ADAPA on Site.

What do you mean by standards-based?

ADAPA executes predictive models represented in PMML (Predictive Model Markup Language). PMML is the standard for representing predictive models currently exported from all major commercial and open-source data mining tools.

With PMML, you can basically build your model in IBM SPSS, SAS, R, KNIME, ... export it as a PMML file and upload it in ADAPA. Once you do that, your model is ready to be used from anywhere via web-services. You can even execute your models directly from within Excel.




Is ADAPA really fast?


ADAPA is very fast. We recently published a study on the ACM SIGKDD Newsletter in which we show that ADAPA can easily score thousands of transactions per second. In the High-CPU Extra-Large instance, ADAPA can score 300 million transactions per hour. FAST!

What kind of models does it support?

Modeling techniques currently supported are:
  • Neural Networks
  • Association Rules
  • Support Vector Machines
  • Naive Bayes Classifiers
  • Ruleset Models
  • Clustering Models (including Two-Step Clustering)
  • Decision Trees
  • Regression Models (including Cox Regression Models)
  • Scorecards
  • Multiple Models (ensemble, composition, and segmentation)

How about data pre- and post-processing?

ADAPA transforms your raw data into meaningful feature detectors before scoring it. It post-processes the output of your predictive model so that it conforms to your requirements. ADAPA supports all the PMML built-in functions and data manipulations (as well as user defined functions). To learn more about how to represent pre- and post-processing operations in PMML, please take a look at our PMML data manipulation primer or simply contact us.

Can I combine predictive analytics with business rules?


ADAPA provides seamless integration of predictive analytics and rules. Simply put, ADAPA allows data driven insight and expert knowledge to be combined into a single and powerful decision strategy. That is because in addition of a sophisticated predictive analytics engine, ADAPA also incorporates the full functionality of a rules engine.

How do I pay for it? Is it expensive?

Once you sign up for ADAPA on the Cloud through Amazon.com, ADAPA charges show up on your credit card bill. Amazon handles all the billing. You can even use the same account you use to buy books. ADAPA on the Cloud does not cost an arm and a leg. Check out our pricing! And, the best part, you pay only for what you actually use.

Tuesday, April 19, 2011

Webinar: Deploying Predictive Analytics with PMML, Revolution R, and ADAPA


Presented: Wednesday, April 13th, 2011
Presenters: Alex Guazzelli, Vice President - Analytics, Zementis Inc.
David Smith, Vice President - Marketing, Revolution Analytics

View the on-demand replay of the webinar

Download the webinar presentation

The rule in the past was that whenever a predictive model was built in a particular development environment, it remained in that environment forever, unless it was manually recoded to work somewhere else. This rule has been shattered with the advent of PMML (Predictive Modeling Markup Language). By providing a uniform standard to represent predictive models, PMML allows for the exchange of predictive solutions between different applications and various vendors.

In this joint webinar from Revolution Analytics and Zementis, you’ll learn:
  • How to use data to create predictive models in the R language, with Revolution R Enterprise
  • The purpose of the PMML standard, and predictive models it supports
  • How to export predictive models from R using PMML
  • How to score predictive models in PMML using ADAPA, from within Microsoft Excel and in the cloud
This webinar will be suitable for any technology professionals with an interest in predictive models and who wishes to learn more about Revolution R, PMML and ADAPA.

Download the whitepaper:
Deploying Advanced Analytics Using R & PMML

Monday, April 18, 2011

ADAPA and PMML Association Rules

This posting has been moved to the Zementis Support Site. You can still access it by clicking HERE.

Wednesday, April 6, 2011

ADAPA Web Services

This posting has been moved to the Zementis Support Site. You can still access it by clicking HERE.





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